diff --git a/404.html b/404.html index a8f70d4..5367aec 100644 --- a/404.html +++ b/404.html @@ -6,31 +6,31 @@ Page not found (404) • forestly - - - - - - - - - + + + + + + + + + - + - + - Skip to contents + Skip to contents
-

Page not found (404)

+

Page not found (404)

diff --git a/LICENSE.html b/LICENSE.html index 5b5cb45..dbb8505 100644 --- a/LICENSE.html +++ b/LICENSE.html @@ -1,5 +1,5 @@ -GNU General Public License • forestlyGNU General Public License • forestly diff --git a/apple-touch-icon-120x120.png b/apple-touch-icon-120x120.png index 14d8299..7828039 100644 Binary files a/apple-touch-icon-120x120.png and b/apple-touch-icon-120x120.png differ diff --git a/apple-touch-icon-152x152.png b/apple-touch-icon-152x152.png index 91579ce..298a294 100644 Binary files a/apple-touch-icon-152x152.png and b/apple-touch-icon-152x152.png differ diff --git a/apple-touch-icon-180x180.png b/apple-touch-icon-180x180.png index 299f206..ad0ea28 100644 Binary files a/apple-touch-icon-180x180.png and b/apple-touch-icon-180x180.png differ diff --git a/apple-touch-icon-60x60.png b/apple-touch-icon-60x60.png index 5bb0a1b..9aa6314 100644 Binary files a/apple-touch-icon-60x60.png and b/apple-touch-icon-60x60.png differ diff --git a/apple-touch-icon-76x76.png b/apple-touch-icon-76x76.png index 27bab5e..6aa5d97 100644 Binary files a/apple-touch-icon-76x76.png and b/apple-touch-icon-76x76.png differ diff --git a/apple-touch-icon.png b/apple-touch-icon.png index cced37c..b5f36d2 100644 Binary files a/apple-touch-icon.png and b/apple-touch-icon.png differ diff --git a/articles/design-pattern.html b/articles/design-pattern.html index 0a946d3..9b6d5d3 100644 --- a/articles/design-pattern.html +++ b/articles/design-pattern.html @@ -20,7 +20,7 @@ - + - + - + Articles • forestlyArticles • forestly diff --git a/articles/layout.html b/articles/layout.html index 0402e45..6185772 100644 --- a/articles/layout.html +++ b/articles/layout.html @@ -20,7 +20,7 @@ - + Authors and Citation • forestlyAuthors and Citation • forestly @@ -93,7 +93,7 @@

Citation

Zhang Y, Wang B, Zhao Y (2023). forestly: Interactive Forest Plot. -R package version 0.1.1, https://github.com/Merck/forestly, https://merck.github.io/forestly/. +R package version 0.1.1, https://github.com/Merck/forestly, https://merck.github.io/forestly/. 

@Manual{,
   title = {forestly: Interactive Forest Plot},
diff --git a/favicon-16x16.png b/favicon-16x16.png
index 008f25b..8e17cb3 100644
Binary files a/favicon-16x16.png and b/favicon-16x16.png differ
diff --git a/favicon-32x32.png b/favicon-32x32.png
index 1422cda..ef3326e 100644
Binary files a/favicon-32x32.png and b/favicon-32x32.png differ
diff --git a/index.html b/index.html
index 8b797f8..01826c1 100644
--- a/index.html
+++ b/index.html
@@ -30,7 +30,7 @@
     incidence-based group filtering, hover-over reveals, and search and sort
     operations. The workflow allows for metadata construction, data preparation,
     output formatting, and interactive plot generation.">
-
+
 Changelog • forestlyChangelog • forestly
diff --git a/pkgdown.yml b/pkgdown.yml
index fbdf7ae..30665dc 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -6,8 +6,8 @@ articles:
   forestly-cran: forestly-cran.html
   forestly: forestly.html
   layout: layout.html
-last_built: 2023-12-19T01:35Z
+last_built: 2023-12-20T03:43Z
 urls:
-  reference: https://elong0527.github.io/forestly/reference
-  article: https://elong0527.github.io/forestly/articles
+  reference: https://merck.github.io/forestly/reference
+  article: https://merck.github.io/forestly/articles
 
diff --git a/reference/ae_forestly.html b/reference/ae_forestly.html
index 60c55ce..a2e2464 100644
--- a/reference/ae_forestly.html
+++ b/reference/ae_forestly.html
@@ -1,5 +1,5 @@
 
-Display interactive forest plot — ae_forestly • forestlyDisplay interactive forest plot — ae_forestly • forestly
diff --git a/reference/forestly_adae.html b/reference/forestly_adae.html
index b1172b5..6224b07 100644
--- a/reference/forestly_adae.html
+++ b/reference/forestly_adae.html
@@ -1,7 +1,7 @@
 
 An adverse event dataset — forestly_adae • forestly
diff --git a/reference/forestly_adae_3grp.html b/reference/forestly_adae_3grp.html
index b392402..5a56875 100644
--- a/reference/forestly_adae_3grp.html
+++ b/reference/forestly_adae_3grp.html
@@ -1,7 +1,7 @@
 
 An adverse event dataset — forestly_adae_3grp • forestly
diff --git a/reference/forestly_adsl.html b/reference/forestly_adsl.html
index 60f4feb..ec0449f 100644
--- a/reference/forestly_adsl.html
+++ b/reference/forestly_adsl.html
@@ -1,7 +1,7 @@
 
 A subject level demographic dataset — forestly_adsl • forestly
diff --git a/reference/forestly_adsl_3grp.html b/reference/forestly_adsl_3grp.html
index 8c5ad86..27c2410 100644
--- a/reference/forestly_adsl_3grp.html
+++ b/reference/forestly_adsl_3grp.html
@@ -1,7 +1,7 @@
 
 A subject level demographic dataset — forestly_adsl_3grp • forestly
diff --git a/reference/format_ae_forestly.html b/reference/format_ae_forestly.html
index 8ba3a19..eb9f10f 100644
--- a/reference/format_ae_forestly.html
+++ b/reference/format_ae_forestly.html
@@ -1,5 +1,5 @@
 
-Format outdata for interactive forest plot — format_ae_forestly • forestlyFormat outdata for interactive forest plot — format_ae_forestly • forestly
diff --git a/reference/index.html b/reference/index.html
index a04b423..acf9eaf 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -1,5 +1,5 @@
 
-Function reference • forestlyFunction reference • forestly
diff --git a/reference/meta_forestly.html b/reference/meta_forestly.html
index f766b20..84b6388 100644
--- a/reference/meta_forestly.html
+++ b/reference/meta_forestly.html
@@ -1,5 +1,5 @@
 
-Create metadata for interactive forest plot — meta_forestly • forestlyCreate metadata for interactive forest plot — meta_forestly • forestly
diff --git a/reference/prepare_ae_forestly.html b/reference/prepare_ae_forestly.html
index 524decd..452ba92 100644
--- a/reference/prepare_ae_forestly.html
+++ b/reference/prepare_ae_forestly.html
@@ -1,5 +1,5 @@
 
-Prepare datasets for interactive forest plot — prepare_ae_forestly • forestlyPrepare datasets for interactive forest plot — prepare_ae_forestly • forestly
diff --git a/search.json b/search.json
index 0d5df2b..48be70a 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
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Program specifies certain numbered version GNU General Public License “later version” applies , option following terms conditions either numbered version later version published Free Software Foundation. Program specify version number GNU General Public License, may choose version ever published Free Software Foundation. Program specifies proxy can decide future versions GNU General Public License can used, proxy’s public statement acceptance version permanently authorizes choose version Program. Later license versions may give additional different permissions. However, additional obligations imposed author copyright holder result choosing follow later version.","code":""},{"path":"https://elong0527.github.io/forestly/LICENSE.html","id":"id_15-disclaimer-of-warranty","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"15. Disclaimer of Warranty","title":"GNU General Public License","text":"WARRANTY PROGRAM, EXTENT PERMITTED APPLICABLE LAW. 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Also add information contact electronic paper mail. program terminal interaction, make output short notice like starts interactive mode: hypothetical commands show w show c show appropriate parts General Public License. course, program’s commands might different; GUI interface, use “box”. also get employer (work programmer) school, , sign “copyright disclaimer” program, necessary. information , apply follow GNU GPL, see . GNU General Public License permit incorporating program proprietary programs. program subroutine library, may consider useful permit linking proprietary applications library. want , use GNU Lesser General Public License instead License. first, please read .","code":" Copyright (C)     This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.  This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more details.  You should have received a copy of the GNU General Public License along with this program.  If not, see .   Copyright (C)    This program comes with ABSOLUTELY NO WARRANTY; for details type 'show w'. This is free software, and you are welcome to redistribute it under certain conditions; type 'show c' for details."},{"path":"https://elong0527.github.io/forestly/articles/design-pattern.html","id":"overview","dir":"Articles","previous_headings":"","what":"Overview","title":"Design Plan of R Package forestly","text":"forestly package developed generate interactive forest plot safety analysis clinical trials. generate interactive forest plot, develop three main functions listed . details three main functions introduced next three sections separately. tidy_ae_table: function used obtain adverse event (AE) information ready visualization. download_ae_reports: function used generate download button, users can download AE summary tables clicking button. forestly: function used generate interactive forest plot. minimal example summarized major steps using forestly package ","code":"mydata <- tidy_ae_table(...)    # Step 1: create tidy AE data download_ae_reports(mydata)     # Step 2: generate download button forestly(mydata)                # Step 3: generate interactive forest plot                                 # (the order of Step 2 and Step 3 can be reversed)"},{"path":"https://elong0527.github.io/forestly/articles/design-pattern.html","id":"main-function-1-tidy_ae_table","dir":"Articles","previous_headings":"","what":"Main function 1: tidy_ae_table()","title":"Design Plan of R Package forestly","text":"main function tidy_ae_table() used obtain AE information ready visualization. Specifically speaking, merges standardized adsl adae tables together, outputs AE summary table. AE summary table summarizes number/ratio subjects experiencing certain AE treatment arm control arm. utility functions developed inside tidy_ae_table() list follows. tidy_population(): function used prepare observation datasets use function tidy_ae_table(). function filter adsl dataset, define proper treatment order dataset. tidy_observation(): function used prepare observation datasets use function tidy_ae_table(). function filter adae dataset, define proper treatment order dataset. `prop_test_mn(): function tests equal proportion using Miettinen Nurminen method. forestly package, generates confidence interval (CI) risk difference treatment arm control arm. define_ae_selectList(): function specify AE labels displayed select list interactive forestly plot. two arguments, (1) ae_criterion (2) ae_label. first argument ae_criterion (vector ) string, defines criterion select class AE display interactive forest plot. example, ae_criterion = 'AESER == \"Y\"', select serious AE. second argument ae_label (vector ) string, defines labels displayed select list interactive forest plot. two arguments string vectors, must 1:1 map. function used arguments ae_interested = function tidy_ae_table() (see examples ). throws errors length ae_criterion doesn’t match ae_label. tidy_multi_ae_label(): function design rbind data together according interested AE labels defined ae_interested =. example, use Example 1 , tidy_multi_ae_label() generate AE summary table rbind(summary table AE, summary serious AE). tidy_ae_listing(): function generates data frame serves listed details reactable.","code":"# Example 1: if you would like to display the serious AE tidy_ae_table(...,               ae_interested = define_ae_selectList(ae_criterion = 'AESER == \"Y\"',                                                    ae_label = \"serious AE\"),               ...).  # Example 2: if you would like to display both serious AE and drug-related AE tidy_ae_table(...,               ae_interested = define_ae_selectList(ae_criterion = c('AESER != \"N\"', 'AEREL != \"None\"'),                                                    ae_label = c(\"serious AE\", \"drug-related AE\")               ...)."},{"path":"https://elong0527.github.io/forestly/articles/design-pattern.html","id":"main-function-2-tlf_download","dir":"Articles","previous_headings":"","what":"Main function 2: tlf_download()","title":"Design Plan of R Package forestly","text":"function generates download button users download AE tables. Example: https://merck.github.io/r2rtf/articles/example-ae-summary.html tlf_ae_specific: function create specific AE table. tlf_ae_listing: function create AE listing. output tlf_xxx functions r2rtf objects created rtf_encode tlf_download: function download multiple TLFs Rmarkdown. Rewrite ae_download_report allow use tlf_xxx functions input.","code":"tlf_ae_summary()   # generate the AE summary table tlf_ae_specific()  # generate the specific AE table # tlf[[4]] <- tlf_ae_listing()   # As needed ????  tlf_download()    # download the above tables"},{"path":"https://elong0527.github.io/forestly/articles/design-pattern.html","id":"main-function-3-forestly","dir":"Articles","previous_headings":"","what":"Main function 3: forestly()","title":"Design Plan of R Package forestly","text":"function generates interactive forest plot returned objected tidy_ae_table(). interactive forstly plot, consists two blocks. first block select list. items listed select list specified ae_label = function tidy_ae_table(..., ae_interested = , ...). clicking different AE labels, different reactable generated. example, click “serious AE”, reactable display serious AE summary table. main tool develop block crosstalk::filter_select(). second block reactable. reactable summarizes AE information selected AE label. main tool develop block reactable::reactable(). utility functions used develop forestly() listed follows. forestly_design_details(): function returns design details reactable forest plot, including design details cell two proportions; design details cell CI; design details footer two proportions; design details footer CI. design details returned another utility function sparkline_point_js(), introduce details later. generate design details, users need specify elements design, including color: color two proportion/CI plot (see arguments fig_prop_color = fig_diff_color =); label: labels displayed two proportion/CI plot (see arguments fig_prop_label = fig_diff_label =); column width: column width two proportion/CI plot (see arguments fig_prop_colwidth = fig_diff_colwidth =); range: x-axis range plot two proportion/CI plot (see arguments fig_prop_range = fig_diff_range =). sparkline_point_js(): function generates Javascript rendered. used design details reactables, including cell footer. dependence files path forestly/inst/js/sparkline.js. mk_reactable(): function used create data table tabular data sorting pagination default. Essentially, wrapper function reactable() robust BAAMR usage. dependence R package reactable.","code":""},{"path":"https://elong0527.github.io/forestly/articles/design-pattern.html","id":"other-utility-filesfunctions","dir":"Articles","previous_headings":"","what":"Other utility files/functions","title":"Design Plan of R Package forestly","text":"important_functions.R: used declare R-package dependency functions used develop functions.","code":""},{"path":"https://elong0527.github.io/forestly/articles/forestly.html","id":"overview","dir":"Articles","previous_headings":"","what":"Overview","title":"Interactive Forest Plot","text":"forestly package creates interactive forest plots clinical trial analysis & reporting. Specific adverse events analysis Subgroup analysis assume ADaM datasets ready analysis leverage metalite data structure define inputs outputs.","code":"forestly_adsl$TRTA <- factor(forestly_adsl$TRT01A, levels = c(\"Xanomeline Low Dose\", \"Placebo\"), labels = c(\"Low Dose\", \"Placebo\"))  forestly_adae$TRTA <- factor(forestly_adae$TRTA, levels = c(\"Xanomeline Low Dose\", \"Placebo\"), labels = c(\"Low Dose\", \"Placebo\")) meta_forestly(   dataset_adsl = forestly_adsl,   dataset_adae = forestly_adae,   population_term = \"apat\",   observation_term = \"wk12\" ) |>   prepare_ae_forestly(parameter = \"any;rel;ser\") |>   format_ae_forestly() |>   ae_forestly()"},{"path":"https://elong0527.github.io/forestly/articles/forestly.html","id":"interactive-features","dir":"Articles","previous_headings":"","what":"Interactive features","title":"Interactive Forest Plot","text":"interactive features example include: Select different AE criteria. Filter incidence AE one group. Revealed information hovering mouse point. Search bars find subjects selected adverse events (AE). Sort value click column header. Drill-listing clicking \\(\\blacktriangleright\\).","code":""},{"path":"https://elong0527.github.io/forestly/articles/forestly.html","id":"workflow","dir":"Articles","previous_headings":"","what":"Workflow","title":"Interactive Forest Plot","text":"general workflow : meta_forestly() constructs input metadata treatment analysis ADaM datasets. prepare_ae_forestly() prepares datasets interactive forest plot. format_ae_forestly() formats output layout. ae_forestly() generates interactive forest plot. meta_forestly() wrapper function metalite package. function users simplify process define input parameters required generate interactive forest plot. meta_forestly function require dataset_adsl, dataset_adae, observation_term population_term arguments. dataset_adsl, dataset_adae input ADaM dataset population observation. example, use “apat” population_term “wk12” observation_term. subset creteria terms, using SAFFL == \"Y\" default meta_forestly(). user wants customize definitions terms define new terms, tutorials can found link. paramter level metadata, parameter_term selected predefined terms listed . default, choose three parameter terms rel, ser use “;” concatenate allow three types AE displayed one interactive forest plot. following example, define ITT subset criteria ITTFL == \"Y\"population TEAE subset criteria TRTEMFL == \"Y\" observation. parameter, choose ser nonser pre-defined parameter list. metadata defined, can create interactive forest plot . section, calculate statistics prepare plotting dataset using prepare_ae_forestly(). Argument parameter required since can select parameter one defined metadata. use format_ae_forestly() format output ae_forestly() create interactive forest plot. Default value used arguments two functions. first example, select , ser nonser. example select , rel ser.","code":"meta_forestly(   dataset_adsl = forestly_adsl,   dataset_adae = forestly_adae,   population_term = \"apat\",   observation_term = \"wk12\" ) #> ADaM metadata:  #>    .$data_population     Population data with 170 subjects  #>    .$data_observation    Observation data with 736 records  #>    .$plan    Analysis plan with 1 plans  #>  #>  #>   Analysis population type: #>     name        id  group var       subset label #> 1 'apat' 'USUBJID' 'TRTA'     SAFFL == 'Y'    '' #>  #>  #>   Analysis observation type: #>     name        id  group var       subset label #> 1 'wk12' 'USUBJID' 'TRTA'     SAFFL == 'Y'    '' #>  #>  #>   Analysis parameter type: #>    name                         label                     subset #> 1 'any'          'any adverse events'                            #> 2 'rel' 'drug-related adverse events' toupper(AREL) == 'RELATED' #> 3 'ser'      'serious adverse events'               AESER == 'Y' #>  #>  #>   Analysis function: #>            name                     label #> 1 'ae_forestly' 'Interactive forest plot' meta <- meta_forestly(   dataset_adsl = forestly_adsl,   dataset_adae = forestly_adae,   population_term = \"ITT\",   population_subset = ITTFL == \"Y\",   observation_term = \"TEAE\",   observation_subset = TRTEMFL == \"Y\",   parameter_term = \"any;ser;nonser;rel\" ) meta #> ADaM metadata:  #>    .$data_population     Population data with 170 subjects  #>    .$data_observation    Observation data with 736 records  #>    .$plan    Analysis plan with 1 plans  #>  #>  #>   Analysis population type: #>    name        id  group var       subset label #> 1 'ITT' 'USUBJID' 'TRTA'     ITTFL == 'Y'    '' #>  #>  #>   Analysis observation type: #>     name        id  group var         subset label #> 1 'TEAE' 'USUBJID' 'TRTA'     TRTEMFL == 'Y'    '' #>  #>  #>   Analysis parameter type: #>       name                         label                      subset #> 1    'any'          'any adverse events'                             #> 2    'ser'      'serious adverse events'                AESER == 'Y' #> 3 'nonser'  'non-serious adverse events' AESER != 'Y' | is.na(AESER) #> 4    'rel' 'drug-related adverse events'  toupper(AREL) == 'RELATED' #>  #>  #>   Analysis function: #>            name                     label #> 1 'ae_forestly' 'Interactive forest plot' meta |>   prepare_ae_forestly(parameter = \"any;ser;nonser\") |>   format_ae_forestly() |>   ae_forestly() meta |>   prepare_ae_forestly(parameter = \"any;rel;ser\") |>   format_ae_forestly() |>   ae_forestly()"},{"path":"https://elong0527.github.io/forestly/articles/forestly.html","id":"define-metadata","dir":"Articles","previous_headings":"","what":"Define metadata","title":"Interactive Forest Plot","text":"order provide flexibility different analysis, forestly package also allows way construct metadata. show simplified example metalite package. details can found metalite package website. start construct metadata using metalite. output metadata contains two observation wk12 period1 illustration purpose. Also, parameter, subset criteria AEREL %% c(\"POSSIBLE\", \"PROBABLE\") instead toupper(AREL) == \"RELATED\" order fit observation dataset. metadata defined, can create interactive forest plot wk12 . Using similar approach, create interactive forest plot period1.","code":"library(metalite) meta <- meta_adam(   population = forestly_adsl,   observation = forestly_adae ) |>   define_plan(plan = plan(     analysis = \"ae_forestly\",     population = \"apat\",     observation = c(\"wk12\", \"period1\"),     parameter = \"any;rel;ser\"   )) |>   define_population(     name = \"apat\",     group = \"TRTA\",     subset = quote(SAFFL == \"Y\")   ) |>   define_observation(     name = \"wk12\",     group = \"TRTA\",     subset = quote(SAFFL == \"Y\"),     label = \"Weeks 0 to 12\"   ) |>   define_observation(     name = \"period1\",     group = \"TRTA\",     var = \"AEDECOD\",     subset = quote(TRTEMFL == \"Y\" & SAFFL == \"Y\"),     label = \"Period 1\"   ) |>   define_parameter(     name = \"rel\",     subset = quote(AEREL %in% c(\"POSSIBLE\", \"PROBABLE\"))   ) |>   define_analysis(     name = \"ae_forestly\",     label = \"Interactive forest plot\"   ) |>   meta_build() meta #> ADaM metadata:  #>    .$data_population     Population data with 170 subjects  #>    .$data_observation    Observation data with 736 records  #>    .$plan    Analysis plan with 2 plans  #>  #>  #>   Analysis population type: #>     name        id  group var       subset                         label #> 1 'apat' 'USUBJID' 'TRTA'     SAFFL == 'Y' 'All Participants as Treated' #>  #>  #>   Analysis observation type: #>        name        id  group       var                        subset #> 1    'wk12' 'USUBJID' 'TRTA'                            SAFFL == 'Y' #> 2 'period1' 'USUBJID' 'TRTA' 'AEDECOD' TRTEMFL == 'Y' & SAFFL == 'Y' #>             label #> 1 'Weeks 0 to 12' #> 2      'Period 1' #>  #>  #>   Analysis parameter type: #>    name                         label                               subset #> 1 'rel' 'drug-related adverse events' AEREL %in% c('POSSIBLE', 'PROBABLE') #> 2 'any'          'any adverse events'                                      #> 3 'ser'      'serious adverse events'                         AESER == 'Y' #>  #>  #>   Analysis function: #>            name                     label #> 1 'ae_forestly' 'Interactive forest plot' meta |>   prepare_ae_forestly(     population = \"apat\",     observation = \"wk12\",     parameter = \"any;rel;ser\"   ) |>   format_ae_forestly() |>   ae_forestly() meta |>   prepare_ae_forestly(     population = \"apat\",     observation = \"period1\",     parameter = \"any;rel;ser\"   ) |>   format_ae_forestly() |>   ae_forestly()"},{"path":"https://elong0527.github.io/forestly/articles/layout.html","id":"overview","dir":"Articles","previous_headings":"","what":"Overview","title":"Controlling Layout","text":"forestly package controls forest plot layouts simple effective approach. illustrate idea, use ADSL (forestly_adsl_3grp) ADAE (forestly_adae_3grp) datasets forestly package contain three treatment groups. first step create required metadata using meta_forestly(). use prepare_ae_forestly() prepare input datasets interactive forest plot. outdata contains parameters required generate interactive forest plot. interactive forest plot default style can generated.","code":"metadata <- meta_forestly(   dataset_adsl = forestly_adsl_3grp,   dataset_adae = forestly_adae_3grp,   population_term = \"apat\",   observation_term = \"wk12\" )  outdata <- metadata |> prepare_ae_forestly(parameter = \"any;rel;ser\")  outdata #> List of 17 #>  $ meta           :List of 7 #>  $ population     : chr \"apat\" #>  $ observation    : chr \"wk12\" #>  $ parameter      : chr \"any;rel;ser\" #>  $ n              :'data.frame': 361 obs. of  4 variables: #>  $ order          : num [1:361] 1030 1031 1032 1033 1034 ... #>  $ group          : chr [1:4] \"Placebo\" \"Low Dose\" \"High Dose\" \"Total\" #>  $ reference_group: num 1 #>  $ parameter_order: Factor w/ 3 levels \"any\",\"rel\",\"ser\": 1 1 1 1 1 1 1 1 1 1 ... #>  $ prop           :'data.frame': 361 obs. of  4 variables: #>  $ diff           :'data.frame': 361 obs. of  2 variables: #>  $ n_pop          :'data.frame': 1 obs. of  4 variables: #>  $ name           : chr [1:361] \"Atrial fibrillation\" \"Atrial flutter\" \"Atrial hypertrophy\" \"Atrioventricular block first degree\" ... #>  $ ci_lower       :'data.frame': 361 obs. of  2 variables: #>  $ ci_upper       :'data.frame': 361 obs. of  2 variables: #>  $ p              :'data.frame': 361 obs. of  2 variables: #>  $ ae_listing     :'data.frame': 1898 obs. of  15 variables: outdata |>   format_ae_forestly() |>   ae_forestly()"},{"path":"https://elong0527.github.io/forestly/articles/layout.html","id":"change-color","dir":"Articles","previous_headings":"","what":"Change color","title":"Controlling Layout","text":"default, forestly using teal treatment group plum control group. user wants change color, color argument format_ae_forestly() function can used. example interactive forest plot using black grey.","code":"outdata |>   format_ae_forestly(color = c(\"black\", \"grey60\", \"grey40\")) |>   ae_forestly()"},{"path":"https://elong0527.github.io/forestly/articles/layout.html","id":"display-different-columns","dir":"Articles","previous_headings":"","what":"Display different columns","title":"Controlling Layout","text":"using display argument format_ae_forestly(), can display total column. can also display risk difference columns similar approach.","code":"outdata |>   format_ae_forestly(display = c(\"n\", \"prop\", \"fig_prop\", \"fig_diff\", \"total\")) |>   ae_forestly() outdata |>   format_ae_forestly(display = c(\"n\", \"prop\", \"fig_prop\", \"fig_diff\", \"diff\")) |>   ae_forestly()"},{"path":"https://elong0527.github.io/forestly/articles/layout.html","id":"control-column-width","dir":"Articles","previous_headings":"","what":"Control column width","title":"Controlling Layout","text":"can control column width customize layout.","code":"outdata |>   format_ae_forestly(     width_fig = 230,     footer_space = 110   ) |>   ae_forestly(width = 1000)"},{"path":"https://elong0527.github.io/forestly/articles/layout.html","id":"change-variable-listed-in-drill-down-table","dir":"Articles","previous_headings":"","what":"Change variable listed in drill-down table","title":"Controlling Layout","text":"Users can explore AE listing clicking \\(\\blacktriangleright\\) row specify column names ae_listing_display.","code":"listing_var <- c(   \"SEX\", \"RACE\", \"AGE\",   \"SITEID\", \"AESEV\", \"STUDYID\",   \"AESER\", \"AEREL\", \"ASTDT\", \"AENDT\" )  metadata |>   prepare_ae_forestly(     parameter = \"any;rel;ser\",     ae_listing_display = listing_var   ) |>   format_ae_forestly() |>   ae_forestly()"},{"path":"https://elong0527.github.io/forestly/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Yilong Zhang. Author. Benjamin Wang. Author, maintainer. Yujie Zhao. Author. Nan Xiao. Contributor. Hiroaki Fukuda. Contributor. Xuan Deng. Contributor. Merck & Co., Inc., Rahway, NJ, USA affiliates. Copyright holder.","code":""},{"path":"https://elong0527.github.io/forestly/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Zhang Y, Wang B, Zhao Y (2023). forestly: Interactive Forest Plot. R package version 0.1.1, https://github.com/Merck/forestly, https://merck.github.io/forestly/.","code":"@Manual{,   title = {forestly: Interactive Forest Plot},   author = {Yilong Zhang and Benjamin Wang and Yujie Zhao},   year = {2023},   note = {R package version 0.1.1, https://github.com/Merck/forestly},   url = {https://merck.github.io/forestly/}, }"},{"path":[]},{"path":"https://elong0527.github.io/forestly/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Interactive Forest Plot","text":"easiest way get forestly install CRAN: Alternatively, use new feature get bug fix, can install development version forestly GitHub:","code":"install.packages(\"forestly\") # install.packages(\"remotes\") remotes::install_github(\"Merck/forestly\")"},{"path":"https://elong0527.github.io/forestly/index.html","id":"overview","dir":"","previous_headings":"","what":"Overview","title":"Interactive Forest Plot","text":"forestly package creates interactive forest plots clinical trial analysis & reporting. Specific adverse events analysis Subgroup analysis assume ADaM datasets ready analysis leverage metalite data structure define inputs outputs.","code":""},{"path":"https://elong0527.github.io/forestly/index.html","id":"workflow","dir":"","previous_headings":"","what":"Workflow","title":"Interactive Forest Plot","text":"general workflow : meta_forestly() constructs input metadata treatment analysis ADaM datasets. prepare_ae_forestly() prepares datasets interactive forest plot. format_ae_forestly() formats output layout. ae_forestly() generates interactive forest plot. quick example","code":"library(\"forestly\")  meta_forestly(   forestly_adsl,   forestly_adae,   population_term = \"apat\",   observation_term = \"wk12\" ) |>   prepare_ae_forestly(parameter = \"any;rel;ser\") |>   format_ae_forestly() |>   ae_forestly()"},{"path":"https://elong0527.github.io/forestly/index.html","id":"interactive-features","dir":"","previous_headings":"","what":"Interactive features","title":"Interactive Forest Plot","text":"interactive features safety analysis include: Select different AE criteria. Filter incidence AE one groups. Reveal information hovering mouse data point. Search bars find subjects selected adverse events (AEs). Sort value clicking column header. Drill-listing clicking ▸.","code":""},{"path":"https://elong0527.github.io/forestly/index.html","id":"references","dir":"","previous_headings":"","what":"References","title":"Interactive Forest Plot","text":"Paper: 2023 PHUSE US Connect Talk: 2021 R/Pharma Conference","code":""},{"path":"https://elong0527.github.io/forestly/reference/ae_forestly.html","id":null,"dir":"Reference","previous_headings":"","what":"Display interactive forest plot — ae_forestly","title":"Display interactive forest plot — ae_forestly","text":"Display interactive forest plot","code":""},{"path":"https://elong0527.github.io/forestly/reference/ae_forestly.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Display interactive forest plot — ae_forestly","text":"","code":"ae_forestly(outdata, filter = c(\"prop\", \"n\"), width = 1400)"},{"path":"https://elong0527.github.io/forestly/reference/ae_forestly.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Display interactive forest plot — ae_forestly","text":"outdata outdata object created format_ae_forestly(). filter character value filter variable. width numeric value width table pixels.","code":""},{"path":"https://elong0527.github.io/forestly/reference/ae_forestly.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Display interactive forest plot — ae_forestly","text":"AE forest plot saved shiny.tag.list object.","code":""},{"path":"https://elong0527.github.io/forestly/reference/ae_forestly.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Display interactive forest plot — ae_forestly","text":"","code":"adsl <- forestly_adsl[1:100, ] adae <- forestly_adae[1:100, ] if (interactive()) {   meta_forestly(     dataset_adsl = adsl,     dataset_adae = adae,     population_term = \"apat\",     observation_term = \"wk12\"   ) |>     prepare_ae_forestly(parameter = \"any;rel\") |>     format_ae_forestly() |>     ae_forestly() }"},{"path":"https://elong0527.github.io/forestly/reference/forestly_adae.html","id":null,"dir":"Reference","previous_headings":"","what":"An adverse event dataset — forestly_adae","title":"An adverse event dataset — forestly_adae","text":"dataset containing adverse event information clinical trial following CDISC ADaM standard.","code":""},{"path":"https://elong0527.github.io/forestly/reference/forestly_adae.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"An adverse event dataset — forestly_adae","text":"","code":"forestly_adae"},{"path":"https://elong0527.github.io/forestly/reference/forestly_adae.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"An adverse event dataset — forestly_adae","text":"data frame 736 rows 56 variables.","code":""},{"path":"https://elong0527.github.io/forestly/reference/forestly_adae.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"An adverse event dataset — forestly_adae","text":"https://github.com/phuse-org/phuse-scripts/tree/master/data/adam/cdisc","code":""},{"path":"https://elong0527.github.io/forestly/reference/forestly_adae.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"An adverse event dataset — forestly_adae","text":"Definition variable can found https://github.com/phuse-org/phuse-scripts/tree/master/data/adam/cdisc.","code":""},{"path":"https://elong0527.github.io/forestly/reference/forestly_adae_3grp.html","id":null,"dir":"Reference","previous_headings":"","what":"An adverse event dataset — forestly_adae_3grp","title":"An adverse event dataset — forestly_adae_3grp","text":"dataset containing adverse event information clinical trial following CDISC ADaM standard.","code":""},{"path":"https://elong0527.github.io/forestly/reference/forestly_adae_3grp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"An adverse event dataset — forestly_adae_3grp","text":"","code":"forestly_adae_3grp"},{"path":"https://elong0527.github.io/forestly/reference/forestly_adae_3grp.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"An adverse event dataset — forestly_adae_3grp","text":"data frame 1191 rows 56 variables.","code":""},{"path":"https://elong0527.github.io/forestly/reference/forestly_adae_3grp.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"An adverse event dataset — forestly_adae_3grp","text":"https://github.com/phuse-org/phuse-scripts/tree/master/data/adam/cdisc","code":""},{"path":"https://elong0527.github.io/forestly/reference/forestly_adae_3grp.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"An adverse event dataset — forestly_adae_3grp","text":"Definition variable can found https://github.com/phuse-org/phuse-scripts/tree/master/data/adam/cdisc.","code":""},{"path":"https://elong0527.github.io/forestly/reference/forestly_adsl.html","id":null,"dir":"Reference","previous_headings":"","what":"A subject level demographic dataset — forestly_adsl","title":"A subject level demographic dataset — forestly_adsl","text":"dataset containing demographic information clinical trial following CDISC ADaM standard.","code":""},{"path":"https://elong0527.github.io/forestly/reference/forestly_adsl.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A subject level demographic dataset — forestly_adsl","text":"","code":"forestly_adsl"},{"path":"https://elong0527.github.io/forestly/reference/forestly_adsl.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A subject level demographic dataset — forestly_adsl","text":"data frame 170 rows 49 variables.","code":""},{"path":"https://elong0527.github.io/forestly/reference/forestly_adsl.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"A subject level demographic dataset — forestly_adsl","text":"https://github.com/phuse-org/phuse-scripts/tree/master/data/adam/cdisc","code":""},{"path":"https://elong0527.github.io/forestly/reference/forestly_adsl.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"A subject level demographic dataset — forestly_adsl","text":"Definition variable can found https://github.com/phuse-org/phuse-scripts/tree/master/data/adam/cdisc.","code":""},{"path":"https://elong0527.github.io/forestly/reference/forestly_adsl_3grp.html","id":null,"dir":"Reference","previous_headings":"","what":"A subject level demographic dataset — forestly_adsl_3grp","title":"A subject level demographic dataset — forestly_adsl_3grp","text":"dataset containing demographic information clinical trial following CDISC ADaM standard.","code":""},{"path":"https://elong0527.github.io/forestly/reference/forestly_adsl_3grp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A subject level demographic dataset — forestly_adsl_3grp","text":"","code":"forestly_adsl_3grp"},{"path":"https://elong0527.github.io/forestly/reference/forestly_adsl_3grp.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A subject level demographic dataset — forestly_adsl_3grp","text":"data frame 254 rows 49 variables.","code":""},{"path":"https://elong0527.github.io/forestly/reference/forestly_adsl_3grp.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"A subject level demographic dataset — forestly_adsl_3grp","text":"https://github.com/phuse-org/phuse-scripts/tree/master/data/adam/cdisc","code":""},{"path":"https://elong0527.github.io/forestly/reference/forestly_adsl_3grp.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"A subject level demographic dataset — forestly_adsl_3grp","text":"Definition variable can found https://github.com/phuse-org/phuse-scripts/tree/master/data/adam/cdisc.","code":""},{"path":"https://elong0527.github.io/forestly/reference/format_ae_forestly.html","id":null,"dir":"Reference","previous_headings":"","what":"Format outdata for interactive forest plot — format_ae_forestly","title":"Format outdata for interactive forest plot — format_ae_forestly","text":"Format outdata interactive forest plot","code":""},{"path":"https://elong0527.github.io/forestly/reference/format_ae_forestly.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Format outdata for interactive forest plot — format_ae_forestly","text":"","code":"format_ae_forestly(   outdata,   display = c(\"n\", \"prop\", \"fig_prop\", \"fig_diff\"),   digits = 1,   width_term = 200,   width_fig = 320,   width_n = 40,   width_prop = 60,   width_diff = 80,   footer_space = 90,   color = NULL,   diff_label = \"Treatment <- Favor -> Placebo\",   show_ae_parameter = FALSE )"},{"path":"https://elong0527.github.io/forestly/reference/format_ae_forestly.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Format outdata for interactive forest plot — format_ae_forestly","text":"outdata outdata object created prepare_ae_forestly(). display character vector measurement displayed. n: Number subjects AE. prop: Proportion subjects AE. total: Total columns. diff: Risk difference. digits value digits displayed proportion risk difference. width_term Width px AE term column. width_fig Width px proportion risk difference figure. width_n Width px \"N\" columns. width_prop Width px \"(%)\" columns. width_diff Width px risk difference columns. footer_space Space px footer display legend. color vector colors analysis groups. Default value supports 4 groups. diff_label x-axis label risk difference. show_ae_parameter boolean value display AE parameter column.","code":""},{"path":"https://elong0527.github.io/forestly/reference/format_ae_forestly.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Format outdata for interactive forest plot — format_ae_forestly","text":"outdata object.","code":""},{"path":"https://elong0527.github.io/forestly/reference/format_ae_forestly.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Format outdata for interactive forest plot — format_ae_forestly","text":"","code":"adsl <- forestly_adsl[1:100,] adae <- forestly_adae[1:100,] meta_forestly(   dataset_adsl = adsl,   dataset_adae = adae,   population_term = \"apat\",   observation_term = \"wk12\" ) |>   prepare_ae_forestly(parameter = \"any;rel\")|>   format_ae_forestly() #> Warning: In observation level data, force group variable 'TRTA' be a factor #> Warning: In observation level data, force group variable 'TRTA' be a factor #> List of 21 #>  $ meta                   :List of 7 #>  $ population             : chr \"apat\" #>  $ observation            : chr \"wk12\" #>  $ parameter              : chr \"any;rel\" #>  $ n                      :'data.frame':\t60 obs. of  3 variables: #>  $ order                  : num [1:60] 1008 1009 2019 2021 2022 ... #>  $ group                  : chr [1:3] \"Placebo\" \"Xanomeline Low Dose\" \"Total\" #>  $ reference_group        : num 2 #>  $ parameter_order        : Factor w/ 2 levels \"any\",\"rel\": 1 1 1 1 1 1 1 1 1 1 ... #>  $ prop                   :'data.frame':\t60 obs. of  3 variables: #>  $ diff                   :'data.frame':\t60 obs. of  1 variable: #>  $ n_pop                  :'data.frame':\t1 obs. of  3 variables: #>  $ name                   : chr [1:60] \"Atrioventricular block second degree\" \"Bundle branch block left\" \"Eye allergy\" \"Eye pruritus\" ... #>  $ ci_lower               :'data.frame':\t60 obs. of  1 variable: #>  $ ci_upper               :'data.frame':\t60 obs. of  1 variable: #>  $ p                      :'data.frame':\t60 obs. of  1 variable: #>  $ ae_listing             :'data.frame':\t151 obs. of  15 variables: #>  $ tbl                    :'data.frame':\t60 obs. of  13 variables: #>  $ reactable_columns      :List of 13 #>  $ reactable_columns_group:List of 3 #>  $ display                : chr [1:4] \"n\" \"prop\" \"fig_prop\" \"fig_diff\""},{"path":"https://elong0527.github.io/forestly/reference/meta_forestly.html","id":null,"dir":"Reference","previous_headings":"","what":"Create metadata for interactive forest plot — meta_forestly","title":"Create metadata for interactive forest plot — meta_forestly","text":"Create metadata interactive forest plot","code":""},{"path":"https://elong0527.github.io/forestly/reference/meta_forestly.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create metadata for interactive forest plot — meta_forestly","text":"","code":"meta_forestly(   dataset_adsl,   dataset_adae,   population_term,   population_subset = SAFFL == \"Y\",   observation_term,   observation_subset = SAFFL == \"Y\",   parameter_term = \"any;rel;ser\" )"},{"path":"https://elong0527.github.io/forestly/reference/meta_forestly.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create metadata for interactive forest plot — meta_forestly","text":"dataset_adsl ADSL source dataset. dataset_adae ADAE source dataset. population_term character value population term name. population_subset unquoted condition selecting populations ADSL dataset. observation_term character value observation term name. observation_subset unquoted condition selecting observations ADAE dataset. parameter_term character value parameter term name.","code":""},{"path":"https://elong0527.github.io/forestly/reference/meta_forestly.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create metadata for interactive forest plot — meta_forestly","text":"metalite object.","code":""},{"path":"https://elong0527.github.io/forestly/reference/meta_forestly.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create metadata for interactive forest plot — meta_forestly","text":"","code":"meta_forestly(   forestly_adsl,   forestly_adae,   population_term = \"apat\",   observation_term = \"wk12\" ) #> ADaM metadata:  #>    .$data_population \tPopulation data with 170 subjects  #>    .$data_observation \tObservation data with 736 records  #>    .$plan \tAnalysis plan with 1 plans  #>  #>  #>   Analysis population type: #>     name        id  group var       subset label #> 1 'apat' 'USUBJID' 'TRTA'     SAFFL == 'Y'    '' #>  #>  #>   Analysis observation type: #>     name        id  group var       subset label #> 1 'wk12' 'USUBJID' 'TRTA'     SAFFL == 'Y'    '' #>  #>  #>   Analysis parameter type: #>    name                         label                     subset #> 1 'any'          'any adverse events'                            #> 2 'rel' 'drug-related adverse events' toupper(AREL) == 'RELATED' #> 3 'ser'      'serious adverse events'               AESER == 'Y' #>  #>  #>   Analysis function: #>            name                     label #> 1 'ae_forestly' 'Interactive forest plot' #>"},{"path":"https://elong0527.github.io/forestly/reference/prepare_ae_forestly.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare datasets for interactive forest plot — prepare_ae_forestly","title":"Prepare datasets for interactive forest plot — prepare_ae_forestly","text":"Prepare datasets interactive forest plot","code":""},{"path":"https://elong0527.github.io/forestly/reference/prepare_ae_forestly.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare datasets for interactive forest plot — prepare_ae_forestly","text":"","code":"prepare_ae_forestly(   meta,   population = NULL,   observation = NULL,   parameter,   reference_group = NULL,   ae_listing_display = c(\"SEX\", \"RACE\", \"AGE\", \"ASTDY\", \"AESEV\", \"AESER\", \"AEREL\",     \"AEACN\", \"AEOUT\", \"SITEID\", \"ADURN\", \"ADURU\") )"},{"path":"https://elong0527.github.io/forestly/reference/prepare_ae_forestly.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare datasets for interactive forest plot — prepare_ae_forestly","text":"meta metadata object created metalite. population character value population term name. term name used key link information. observation character value observation term name. term name used key link information. parameter character value parameter term name. term name used key link information. reference_group integer indicate reference group. Default 2 2 groups, otherwise, default 1. ae_listing_display vector name variables used display AE listing table.","code":""},{"path":"https://elong0527.github.io/forestly/reference/prepare_ae_forestly.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare datasets for interactive forest plot — prepare_ae_forestly","text":"outdata object.","code":""},{"path":"https://elong0527.github.io/forestly/reference/prepare_ae_forestly.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Prepare datasets for interactive forest plot — prepare_ae_forestly","text":"","code":"adsl <- forestly_adsl[1:100,] adae <- forestly_adae[1:100,] meta_forestly(   dataset_adsl = adsl,   dataset_adae = adae,   population_term = \"apat\",   observation_term = \"wk12\" ) |>   prepare_ae_forestly(parameter = \"any;rel\") #> Warning: In observation level data, force group variable 'TRTA' be a factor #> Warning: In observation level data, force group variable 'TRTA' be a factor #> List of 17 #>  $ meta           :List of 7 #>  $ population     : chr \"apat\" #>  $ observation    : chr \"wk12\" #>  $ parameter      : chr \"any;rel\" #>  $ n              :'data.frame':\t60 obs. of  3 variables: #>  $ order          : num [1:60] 1008 1009 2019 2021 2022 ... #>  $ group          : chr [1:3] \"Placebo\" \"Xanomeline Low Dose\" \"Total\" #>  $ reference_group: num 2 #>  $ parameter_order: Factor w/ 2 levels \"any\",\"rel\": 1 1 1 1 1 1 1 1 1 1 ... #>  $ prop           :'data.frame':\t60 obs. of  3 variables: #>  $ diff           :'data.frame':\t60 obs. of  1 variable: #>  $ n_pop          :'data.frame':\t1 obs. of  3 variables: #>  $ name           : chr [1:60] \"Atrioventricular block second degree\" \"Bundle branch block left\" \"Eye allergy\" \"Eye pruritus\" ... #>  $ ci_lower       :'data.frame':\t60 obs. of  1 variable: #>  $ ci_upper       :'data.frame':\t60 obs. of  1 variable: #>  $ p              :'data.frame':\t60 obs. of  1 variable: #>  $ ae_listing     :'data.frame':\t151 obs. of  15 variables:"},{"path":"https://elong0527.github.io/forestly/news/index.html","id":"forestly-011","dir":"Changelog","previous_headings":"","what":"forestly 0.1.1","title":"forestly 0.1.1","text":"Fix bug record selected AE category (#9). Fix bug multiple plots displayed one page (#12). Update dataset forestly_adae since variable factor unexpected.","code":""},{"path":"https://elong0527.github.io/forestly/news/index.html","id":"forestly-010","dir":"Changelog","previous_headings":"","what":"forestly 0.1.0","title":"forestly 0.1.0","text":"CRAN release: 2023-07-19 Initial version. Added NEWS.md file track changes package.","code":""}]
+[{"path":"https://merck.github.io/forestly/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"GNU General Public License","title":"GNU General Public License","text":"Version 3, 29 June 2007Copyright © 2007 Free Software Foundation, Inc.  Everyone permitted copy distribute verbatim copies license document, changing allowed.","code":""},{"path":"https://merck.github.io/forestly/LICENSE.html","id":"preamble","dir":"","previous_headings":"","what":"Preamble","title":"GNU General Public License","text":"GNU General Public License free, copyleft license software kinds works. licenses software practical works designed take away freedom share change works. contrast, GNU General Public License intended guarantee freedom share change versions program–make sure remains free software users. , Free Software Foundation, use GNU General Public License software; applies also work released way authors. can apply programs, . speak free software, referring freedom, price. 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Definitions","title":"GNU General Public License","text":"“License” refers version 3 GNU General Public License. “Copyright” also means copyright-like laws apply kinds works, semiconductor masks. “Program” refers copyrightable work licensed License. licensee addressed “”. “Licensees” “recipients” may individuals organizations. “modify” work means copy adapt part work fashion requiring copyright permission, making exact copy. resulting work called “modified version” earlier work work “based ” earlier work. “covered work” means either unmodified Program work based Program. “propagate” work means anything , without permission, make directly secondarily liable infringement applicable copyright law, except executing computer modifying private copy. Propagation includes copying, distribution (without modification), making available public, countries activities well. “convey” work means kind propagation enables parties make receive copies. 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Protecting Users’ Legal Rights From Anti-Circumvention Law","title":"GNU General Public License","text":"covered work shall deemed part effective technological measure applicable law fulfilling obligations article 11 WIPO copyright treaty adopted 20 December 1996, similar laws prohibiting restricting circumvention measures. convey covered work, waive legal power forbid circumvention technological measures extent circumvention effected exercising rights License respect covered work, disclaim intention limit operation modification work means enforcing, work’s users, third parties’ legal rights forbid circumvention technological measures.","code":""},{"path":"https://merck.github.io/forestly/LICENSE.html","id":"id_4-conveying-verbatim-copies","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"4. 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Automatic Licensing of Downstream Recipients","title":"GNU General Public License","text":"time convey covered work, recipient automatically receives license original licensors, run, modify propagate work, subject License. responsible enforcing compliance third parties License. “entity transaction” transaction transferring control organization, substantially assets one, subdividing organization, merging organizations. propagation covered work results entity transaction, party transaction receives copy work also receives whatever licenses work party’s predecessor interest give previous paragraph, plus right possession Corresponding Source work predecessor interest, predecessor can get reasonable efforts. may impose restrictions exercise rights granted affirmed License. example, may impose license fee, royalty, charge exercise rights granted License, may initiate litigation (including cross-claim counterclaim lawsuit) alleging patent claim infringed making, using, selling, offering sale, importing Program portion .","code":""},{"path":"https://merck.github.io/forestly/LICENSE.html","id":"id_11-patents","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"11. Patents","title":"GNU General Public License","text":"“contributor” copyright holder authorizes use License Program work Program based. work thus licensed called contributor’s “contributor version”. contributor’s “essential patent claims” patent claims owned controlled contributor, whether already acquired hereafter acquired, infringed manner, permitted License, making, using, selling contributor version, include claims infringed consequence modification contributor version. purposes definition, “control” includes right grant patent sublicenses manner consistent requirements License. contributor grants non-exclusive, worldwide, royalty-free patent license contributor’s essential patent claims, make, use, sell, offer sale, import otherwise run, modify propagate contents contributor version. following three paragraphs, “patent license” express agreement commitment, however denominated, enforce patent (express permission practice patent covenant sue patent infringement). “grant” patent license party means make agreement commitment enforce patent party. convey covered work, knowingly relying patent license, Corresponding Source work available anyone copy, free charge terms License, publicly available network server readily accessible means, must either (1) cause Corresponding Source available, (2) arrange deprive benefit patent license particular work, (3) arrange, manner consistent requirements License, extend patent license downstream recipients. “Knowingly relying” means actual knowledge , patent license, conveying covered work country, recipient’s use covered work country, infringe one identifiable patents country reason believe valid. , pursuant connection single transaction arrangement, convey, propagate procuring conveyance , covered work, grant patent license parties receiving covered work authorizing use, propagate, modify convey specific copy covered work, patent license grant automatically extended recipients covered work works based . patent license “discriminatory” include within scope coverage, prohibits exercise , conditioned non-exercise one rights specifically granted License. may convey covered work party arrangement third party business distributing software, make payment third party based extent activity conveying work, third party grants, parties receive covered work , discriminatory patent license () connection copies covered work conveyed (copies made copies), (b) primarily connection specific products compilations contain covered work, unless entered arrangement, patent license granted, prior 28 March 2007. Nothing License shall construed excluding limiting implied license defenses infringement may otherwise available applicable patent law.","code":""},{"path":"https://merck.github.io/forestly/LICENSE.html","id":"id_12-no-surrender-of-others-freedom","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"12. No Surrender of Others’ Freedom","title":"GNU General Public License","text":"conditions imposed (whether court order, agreement otherwise) contradict conditions License, excuse conditions License. convey covered work satisfy simultaneously obligations License pertinent obligations, consequence may convey . example, agree terms obligate collect royalty conveying convey Program, way satisfy terms License refrain entirely conveying Program.","code":""},{"path":"https://merck.github.io/forestly/LICENSE.html","id":"id_13-use-with-the-gnu-affero-general-public-license","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"13. Use with the GNU Affero General Public License","title":"GNU General Public License","text":"Notwithstanding provision License, permission link combine covered work work licensed version 3 GNU Affero General Public License single combined work, convey resulting work. terms License continue apply part covered work, special requirements GNU Affero General Public License, section 13, concerning interaction network apply combination .","code":""},{"path":"https://merck.github.io/forestly/LICENSE.html","id":"id_14-revised-versions-of-this-license","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"14. Revised Versions of this License","title":"GNU General Public License","text":"Free Software Foundation may publish revised /new versions GNU General Public License time time. new versions similar spirit present version, may differ detail address new problems concerns. version given distinguishing version number. Program specifies certain numbered version GNU General Public License “later version” applies , option following terms conditions either numbered version later version published Free Software Foundation. Program specify version number GNU General Public License, may choose version ever published Free Software Foundation. Program specifies proxy can decide future versions GNU General Public License can used, proxy’s public statement acceptance version permanently authorizes choose version Program. Later license versions may give additional different permissions. However, additional obligations imposed author copyright holder result choosing follow later version.","code":""},{"path":"https://merck.github.io/forestly/LICENSE.html","id":"id_15-disclaimer-of-warranty","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"15. Disclaimer of Warranty","title":"GNU General Public License","text":"WARRANTY PROGRAM, EXTENT PERMITTED APPLICABLE LAW. EXCEPT OTHERWISE STATED WRITING COPYRIGHT HOLDERS /PARTIES PROVIDE PROGRAM “” WITHOUT WARRANTY KIND, EITHER EXPRESSED IMPLIED, INCLUDING, LIMITED , IMPLIED WARRANTIES MERCHANTABILITY FITNESS PARTICULAR PURPOSE. ENTIRE RISK QUALITY PERFORMANCE PROGRAM . PROGRAM PROVE DEFECTIVE, ASSUME COST NECESSARY SERVICING, REPAIR CORRECTION.","code":""},{"path":"https://merck.github.io/forestly/LICENSE.html","id":"id_16-limitation-of-liability","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"16. Limitation of Liability","title":"GNU General Public License","text":"EVENT UNLESS REQUIRED APPLICABLE LAW AGREED WRITING COPYRIGHT HOLDER, PARTY MODIFIES /CONVEYS PROGRAM PERMITTED , LIABLE DAMAGES, INCLUDING GENERAL, SPECIAL, INCIDENTAL CONSEQUENTIAL DAMAGES ARISING USE INABILITY USE PROGRAM (INCLUDING LIMITED LOSS DATA DATA RENDERED INACCURATE LOSSES SUSTAINED THIRD PARTIES FAILURE PROGRAM OPERATE PROGRAMS), EVEN HOLDER PARTY ADVISED POSSIBILITY DAMAGES.","code":""},{"path":"https://merck.github.io/forestly/LICENSE.html","id":"id_17-interpretation-of-sections-15-and-16","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"17. Interpretation of Sections 15 and 16","title":"GNU General Public License","text":"disclaimer warranty limitation liability provided given local legal effect according terms, reviewing courts shall apply local law closely approximates absolute waiver civil liability connection Program, unless warranty assumption liability accompanies copy Program return fee. END TERMS CONDITIONS","code":""},{"path":"https://merck.github.io/forestly/LICENSE.html","id":"how-to-apply-these-terms-to-your-new-programs","dir":"","previous_headings":"","what":"How to Apply These Terms to Your New Programs","title":"GNU General Public License","text":"develop new program, want greatest possible use public, best way achieve make free software everyone can redistribute change terms. , attach following notices program. safest attach start source file effectively state exclusion warranty; file least “copyright” line pointer full notice found. Also add information contact electronic paper mail. program terminal interaction, make output short notice like starts interactive mode: hypothetical commands show w show c show appropriate parts General Public License. course, program’s commands might different; GUI interface, use “box”. also get employer (work programmer) school, , sign “copyright disclaimer” program, necessary. information , apply follow GNU GPL, see . GNU General Public License permit incorporating program proprietary programs. program subroutine library, may consider useful permit linking proprietary applications library. want , use GNU Lesser General Public License instead License. first, please read .","code":" Copyright (C)     This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.  This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more details.  You should have received a copy of the GNU General Public License along with this program.  If not, see .   Copyright (C)    This program comes with ABSOLUTELY NO WARRANTY; for details type 'show w'. This is free software, and you are welcome to redistribute it under certain conditions; type 'show c' for details."},{"path":"https://merck.github.io/forestly/articles/design-pattern.html","id":"overview","dir":"Articles","previous_headings":"","what":"Overview","title":"Design Plan of R Package forestly","text":"forestly package developed generate interactive forest plot safety analysis clinical trials. generate interactive forest plot, develop three main functions listed . details three main functions introduced next three sections separately. tidy_ae_table: function used obtain adverse event (AE) information ready visualization. download_ae_reports: function used generate download button, users can download AE summary tables clicking button. forestly: function used generate interactive forest plot. minimal example summarized major steps using forestly package ","code":"mydata <- tidy_ae_table(...)    # Step 1: create tidy AE data download_ae_reports(mydata)     # Step 2: generate download button forestly(mydata)                # Step 3: generate interactive forest plot                                 # (the order of Step 2 and Step 3 can be reversed)"},{"path":"https://merck.github.io/forestly/articles/design-pattern.html","id":"main-function-1-tidy_ae_table","dir":"Articles","previous_headings":"","what":"Main function 1: tidy_ae_table()","title":"Design Plan of R Package forestly","text":"main function tidy_ae_table() used obtain AE information ready visualization. Specifically speaking, merges standardized adsl adae tables together, outputs AE summary table. AE summary table summarizes number/ratio subjects experiencing certain AE treatment arm control arm. utility functions developed inside tidy_ae_table() list follows. tidy_population(): function used prepare observation datasets use function tidy_ae_table(). function filter adsl dataset, define proper treatment order dataset. tidy_observation(): function used prepare observation datasets use function tidy_ae_table(). function filter adae dataset, define proper treatment order dataset. `prop_test_mn(): function tests equal proportion using Miettinen Nurminen method. forestly package, generates confidence interval (CI) risk difference treatment arm control arm. define_ae_selectList(): function specify AE labels displayed select list interactive forestly plot. two arguments, (1) ae_criterion (2) ae_label. first argument ae_criterion (vector ) string, defines criterion select class AE display interactive forest plot. example, ae_criterion = 'AESER == \"Y\"', select serious AE. second argument ae_label (vector ) string, defines labels displayed select list interactive forest plot. two arguments string vectors, must 1:1 map. function used arguments ae_interested = function tidy_ae_table() (see examples ). throws errors length ae_criterion doesn’t match ae_label. tidy_multi_ae_label(): function design rbind data together according interested AE labels defined ae_interested =. example, use Example 1 , tidy_multi_ae_label() generate AE summary table rbind(summary table AE, summary serious AE). tidy_ae_listing(): function generates data frame serves listed details reactable.","code":"# Example 1: if you would like to display the serious AE tidy_ae_table(...,               ae_interested = define_ae_selectList(ae_criterion = 'AESER == \"Y\"',                                                    ae_label = \"serious AE\"),               ...).  # Example 2: if you would like to display both serious AE and drug-related AE tidy_ae_table(...,               ae_interested = define_ae_selectList(ae_criterion = c('AESER != \"N\"', 'AEREL != \"None\"'),                                                    ae_label = c(\"serious AE\", \"drug-related AE\")               ...)."},{"path":"https://merck.github.io/forestly/articles/design-pattern.html","id":"main-function-2-tlf_download","dir":"Articles","previous_headings":"","what":"Main function 2: tlf_download()","title":"Design Plan of R Package forestly","text":"function generates download button users download AE tables. Example: https://merck.github.io/r2rtf/articles/example-ae-summary.html tlf_ae_specific: function create specific AE table. tlf_ae_listing: function create AE listing. output tlf_xxx functions r2rtf objects created rtf_encode tlf_download: function download multiple TLFs Rmarkdown. Rewrite ae_download_report allow use tlf_xxx functions input.","code":"tlf_ae_summary()   # generate the AE summary table tlf_ae_specific()  # generate the specific AE table # tlf[[4]] <- tlf_ae_listing()   # As needed ????  tlf_download()    # download the above tables"},{"path":"https://merck.github.io/forestly/articles/design-pattern.html","id":"main-function-3-forestly","dir":"Articles","previous_headings":"","what":"Main function 3: forestly()","title":"Design Plan of R Package forestly","text":"function generates interactive forest plot returned objected tidy_ae_table(). interactive forstly plot, consists two blocks. first block select list. items listed select list specified ae_label = function tidy_ae_table(..., ae_interested = , ...). clicking different AE labels, different reactable generated. example, click “serious AE”, reactable display serious AE summary table. main tool develop block crosstalk::filter_select(). second block reactable. reactable summarizes AE information selected AE label. main tool develop block reactable::reactable(). utility functions used develop forestly() listed follows. forestly_design_details(): function returns design details reactable forest plot, including design details cell two proportions; design details cell CI; design details footer two proportions; design details footer CI. design details returned another utility function sparkline_point_js(), introduce details later. generate design details, users need specify elements design, including color: color two proportion/CI plot (see arguments fig_prop_color = fig_diff_color =); label: labels displayed two proportion/CI plot (see arguments fig_prop_label = fig_diff_label =); column width: column width two proportion/CI plot (see arguments fig_prop_colwidth = fig_diff_colwidth =); range: x-axis range plot two proportion/CI plot (see arguments fig_prop_range = fig_diff_range =). sparkline_point_js(): function generates Javascript rendered. used design details reactables, including cell footer. dependence files path forestly/inst/js/sparkline.js. mk_reactable(): function used create data table tabular data sorting pagination default. Essentially, wrapper function reactable() robust BAAMR usage. dependence R package reactable.","code":""},{"path":"https://merck.github.io/forestly/articles/design-pattern.html","id":"other-utility-filesfunctions","dir":"Articles","previous_headings":"","what":"Other utility files/functions","title":"Design Plan of R Package forestly","text":"important_functions.R: used declare R-package dependency functions used develop functions.","code":""},{"path":"https://merck.github.io/forestly/articles/forestly.html","id":"overview","dir":"Articles","previous_headings":"","what":"Overview","title":"Interactive Forest Plot","text":"forestly package creates interactive forest plots clinical trial analysis & reporting. Specific adverse events analysis Subgroup analysis assume ADaM datasets ready analysis leverage metalite data structure define inputs outputs.","code":"forestly_adsl$TRTA <- factor(forestly_adsl$TRT01A, levels = c(\"Xanomeline Low Dose\", \"Placebo\"), labels = c(\"Low Dose\", \"Placebo\"))  forestly_adae$TRTA <- factor(forestly_adae$TRTA, levels = c(\"Xanomeline Low Dose\", \"Placebo\"), labels = c(\"Low Dose\", \"Placebo\")) meta_forestly(   dataset_adsl = forestly_adsl,   dataset_adae = forestly_adae,   population_term = \"apat\",   observation_term = \"wk12\" ) |>   prepare_ae_forestly(parameter = \"any;rel;ser\") |>   format_ae_forestly() |>   ae_forestly()"},{"path":"https://merck.github.io/forestly/articles/forestly.html","id":"interactive-features","dir":"Articles","previous_headings":"","what":"Interactive features","title":"Interactive Forest Plot","text":"interactive features example include: Select different AE criteria. Filter incidence AE one group. Revealed information hovering mouse point. Search bars find subjects selected adverse events (AE). Sort value click column header. Drill-listing clicking \\(\\blacktriangleright\\).","code":""},{"path":"https://merck.github.io/forestly/articles/forestly.html","id":"workflow","dir":"Articles","previous_headings":"","what":"Workflow","title":"Interactive Forest Plot","text":"general workflow : meta_forestly() constructs input metadata treatment analysis ADaM datasets. prepare_ae_forestly() prepares datasets interactive forest plot. format_ae_forestly() formats output layout. ae_forestly() generates interactive forest plot. meta_forestly() wrapper function metalite package. function users simplify process define input parameters required generate interactive forest plot. meta_forestly function require dataset_adsl, dataset_adae, observation_term population_term arguments. dataset_adsl, dataset_adae input ADaM dataset population observation. example, use “apat” population_term “wk12” observation_term. subset creteria terms, using SAFFL == \"Y\" default meta_forestly(). user wants customize definitions terms define new terms, tutorials can found link. paramter level metadata, parameter_term selected predefined terms listed . default, choose three parameter terms rel, ser use “;” concatenate allow three types AE displayed one interactive forest plot. following example, define ITT subset criteria ITTFL == \"Y\"population TEAE subset criteria TRTEMFL == \"Y\" observation. parameter, choose ser nonser pre-defined parameter list. metadata defined, can create interactive forest plot . section, calculate statistics prepare plotting dataset using prepare_ae_forestly(). Argument parameter required since can select parameter one defined metadata. use format_ae_forestly() format output ae_forestly() create interactive forest plot. Default value used arguments two functions. first example, select , ser nonser. example select , rel ser.","code":"meta_forestly(   dataset_adsl = forestly_adsl,   dataset_adae = forestly_adae,   population_term = \"apat\",   observation_term = \"wk12\" ) #> ADaM metadata:  #>    .$data_population     Population data with 170 subjects  #>    .$data_observation    Observation data with 736 records  #>    .$plan    Analysis plan with 1 plans  #>  #>  #>   Analysis population type: #>     name        id  group var       subset label #> 1 'apat' 'USUBJID' 'TRTA'     SAFFL == 'Y'    '' #>  #>  #>   Analysis observation type: #>     name        id  group var       subset label #> 1 'wk12' 'USUBJID' 'TRTA'     SAFFL == 'Y'    '' #>  #>  #>   Analysis parameter type: #>    name                         label                     subset #> 1 'any'          'any adverse events'                            #> 2 'rel' 'drug-related adverse events' toupper(AREL) == 'RELATED' #> 3 'ser'      'serious adverse events'               AESER == 'Y' #>  #>  #>   Analysis function: #>            name                     label #> 1 'ae_forestly' 'Interactive forest plot' meta <- meta_forestly(   dataset_adsl = forestly_adsl,   dataset_adae = forestly_adae,   population_term = \"ITT\",   population_subset = ITTFL == \"Y\",   observation_term = \"TEAE\",   observation_subset = TRTEMFL == \"Y\",   parameter_term = \"any;ser;nonser;rel\" ) meta #> ADaM metadata:  #>    .$data_population     Population data with 170 subjects  #>    .$data_observation    Observation data with 736 records  #>    .$plan    Analysis plan with 1 plans  #>  #>  #>   Analysis population type: #>    name        id  group var       subset label #> 1 'ITT' 'USUBJID' 'TRTA'     ITTFL == 'Y'    '' #>  #>  #>   Analysis observation type: #>     name        id  group var         subset label #> 1 'TEAE' 'USUBJID' 'TRTA'     TRTEMFL == 'Y'    '' #>  #>  #>   Analysis parameter type: #>       name                         label                      subset #> 1    'any'          'any adverse events'                             #> 2    'ser'      'serious adverse events'                AESER == 'Y' #> 3 'nonser'  'non-serious adverse events' AESER != 'Y' | is.na(AESER) #> 4    'rel' 'drug-related adverse events'  toupper(AREL) == 'RELATED' #>  #>  #>   Analysis function: #>            name                     label #> 1 'ae_forestly' 'Interactive forest plot' meta |>   prepare_ae_forestly(parameter = \"any;ser;nonser\") |>   format_ae_forestly() |>   ae_forestly() meta |>   prepare_ae_forestly(parameter = \"any;rel;ser\") |>   format_ae_forestly() |>   ae_forestly()"},{"path":"https://merck.github.io/forestly/articles/forestly.html","id":"define-metadata","dir":"Articles","previous_headings":"","what":"Define metadata","title":"Interactive Forest Plot","text":"order provide flexibility different analysis, forestly package also allows way construct metadata. show simplified example metalite package. details can found metalite package website. start construct metadata using metalite. output metadata contains two observation wk12 period1 illustration purpose. Also, parameter, subset criteria AEREL %% c(\"POSSIBLE\", \"PROBABLE\") instead toupper(AREL) == \"RELATED\" order fit observation dataset. metadata defined, can create interactive forest plot wk12 . Using similar approach, create interactive forest plot period1.","code":"library(metalite) meta <- meta_adam(   population = forestly_adsl,   observation = forestly_adae ) |>   define_plan(plan = plan(     analysis = \"ae_forestly\",     population = \"apat\",     observation = c(\"wk12\", \"period1\"),     parameter = \"any;rel;ser\"   )) |>   define_population(     name = \"apat\",     group = \"TRTA\",     subset = quote(SAFFL == \"Y\")   ) |>   define_observation(     name = \"wk12\",     group = \"TRTA\",     subset = quote(SAFFL == \"Y\"),     label = \"Weeks 0 to 12\"   ) |>   define_observation(     name = \"period1\",     group = \"TRTA\",     var = \"AEDECOD\",     subset = quote(TRTEMFL == \"Y\" & SAFFL == \"Y\"),     label = \"Period 1\"   ) |>   define_parameter(     name = \"rel\",     subset = quote(AEREL %in% c(\"POSSIBLE\", \"PROBABLE\"))   ) |>   define_analysis(     name = \"ae_forestly\",     label = \"Interactive forest plot\"   ) |>   meta_build() meta #> ADaM metadata:  #>    .$data_population     Population data with 170 subjects  #>    .$data_observation    Observation data with 736 records  #>    .$plan    Analysis plan with 2 plans  #>  #>  #>   Analysis population type: #>     name        id  group var       subset                         label #> 1 'apat' 'USUBJID' 'TRTA'     SAFFL == 'Y' 'All Participants as Treated' #>  #>  #>   Analysis observation type: #>        name        id  group       var                        subset #> 1    'wk12' 'USUBJID' 'TRTA'                            SAFFL == 'Y' #> 2 'period1' 'USUBJID' 'TRTA' 'AEDECOD' TRTEMFL == 'Y' & SAFFL == 'Y' #>             label #> 1 'Weeks 0 to 12' #> 2      'Period 1' #>  #>  #>   Analysis parameter type: #>    name                         label                               subset #> 1 'rel' 'drug-related adverse events' AEREL %in% c('POSSIBLE', 'PROBABLE') #> 2 'any'          'any adverse events'                                      #> 3 'ser'      'serious adverse events'                         AESER == 'Y' #>  #>  #>   Analysis function: #>            name                     label #> 1 'ae_forestly' 'Interactive forest plot' meta |>   prepare_ae_forestly(     population = \"apat\",     observation = \"wk12\",     parameter = \"any;rel;ser\"   ) |>   format_ae_forestly() |>   ae_forestly() meta |>   prepare_ae_forestly(     population = \"apat\",     observation = \"period1\",     parameter = \"any;rel;ser\"   ) |>   format_ae_forestly() |>   ae_forestly()"},{"path":"https://merck.github.io/forestly/articles/layout.html","id":"overview","dir":"Articles","previous_headings":"","what":"Overview","title":"Controlling Layout","text":"forestly package controls forest plot layouts simple effective approach. illustrate idea, use ADSL (forestly_adsl_3grp) ADAE (forestly_adae_3grp) datasets forestly package contain three treatment groups. first step create required metadata using meta_forestly(). use prepare_ae_forestly() prepare input datasets interactive forest plot. outdata contains parameters required generate interactive forest plot. interactive forest plot default style can generated.","code":"metadata <- meta_forestly(   dataset_adsl = forestly_adsl_3grp,   dataset_adae = forestly_adae_3grp,   population_term = \"apat\",   observation_term = \"wk12\" )  outdata <- metadata |> prepare_ae_forestly(parameter = \"any;rel;ser\")  outdata #> List of 17 #>  $ meta           :List of 7 #>  $ population     : chr \"apat\" #>  $ observation    : chr \"wk12\" #>  $ parameter      : chr \"any;rel;ser\" #>  $ n              :'data.frame': 361 obs. of  4 variables: #>  $ order          : num [1:361] 1030 1031 1032 1033 1034 ... #>  $ group          : chr [1:4] \"Placebo\" \"Low Dose\" \"High Dose\" \"Total\" #>  $ reference_group: num 1 #>  $ parameter_order: Factor w/ 3 levels \"any\",\"rel\",\"ser\": 1 1 1 1 1 1 1 1 1 1 ... #>  $ prop           :'data.frame': 361 obs. of  4 variables: #>  $ diff           :'data.frame': 361 obs. of  2 variables: #>  $ n_pop          :'data.frame': 1 obs. of  4 variables: #>  $ name           : chr [1:361] \"Atrial fibrillation\" \"Atrial flutter\" \"Atrial hypertrophy\" \"Atrioventricular block first degree\" ... #>  $ ci_lower       :'data.frame': 361 obs. of  2 variables: #>  $ ci_upper       :'data.frame': 361 obs. of  2 variables: #>  $ p              :'data.frame': 361 obs. of  2 variables: #>  $ ae_listing     :'data.frame': 1898 obs. of  15 variables: outdata |>   format_ae_forestly() |>   ae_forestly()"},{"path":"https://merck.github.io/forestly/articles/layout.html","id":"change-color","dir":"Articles","previous_headings":"","what":"Change color","title":"Controlling Layout","text":"default, forestly using teal treatment group plum control group. user wants change color, color argument format_ae_forestly() function can used. example interactive forest plot using black grey.","code":"outdata |>   format_ae_forestly(color = c(\"black\", \"grey60\", \"grey40\")) |>   ae_forestly()"},{"path":"https://merck.github.io/forestly/articles/layout.html","id":"display-different-columns","dir":"Articles","previous_headings":"","what":"Display different columns","title":"Controlling Layout","text":"using display argument format_ae_forestly(), can display total column. can also display risk difference columns similar approach.","code":"outdata |>   format_ae_forestly(display = c(\"n\", \"prop\", \"fig_prop\", \"fig_diff\", \"total\")) |>   ae_forestly() outdata |>   format_ae_forestly(display = c(\"n\", \"prop\", \"fig_prop\", \"fig_diff\", \"diff\")) |>   ae_forestly()"},{"path":"https://merck.github.io/forestly/articles/layout.html","id":"control-column-width","dir":"Articles","previous_headings":"","what":"Control column width","title":"Controlling Layout","text":"can control column width customize layout.","code":"outdata |>   format_ae_forestly(     width_fig = 230,     footer_space = 110   ) |>   ae_forestly(width = 1000)"},{"path":"https://merck.github.io/forestly/articles/layout.html","id":"change-variable-listed-in-drill-down-table","dir":"Articles","previous_headings":"","what":"Change variable listed in drill-down table","title":"Controlling Layout","text":"Users can explore AE listing clicking \\(\\blacktriangleright\\) row specify column names ae_listing_display.","code":"listing_var <- c(   \"SEX\", \"RACE\", \"AGE\",   \"SITEID\", \"AESEV\", \"STUDYID\",   \"AESER\", \"AEREL\", \"ASTDT\", \"AENDT\" )  metadata |>   prepare_ae_forestly(     parameter = \"any;rel;ser\",     ae_listing_display = listing_var   ) |>   format_ae_forestly() |>   ae_forestly()"},{"path":"https://merck.github.io/forestly/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Yilong Zhang. Author. Benjamin Wang. Author, maintainer. Yujie Zhao. Author. Nan Xiao. Contributor. Hiroaki Fukuda. Contributor. Xuan Deng. Contributor. Merck & Co., Inc., Rahway, NJ, USA affiliates. Copyright holder.","code":""},{"path":"https://merck.github.io/forestly/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Zhang Y, Wang B, Zhao Y (2023). forestly: Interactive Forest Plot. R package version 0.1.1, https://github.com/Merck/forestly, https://merck.github.io/forestly/.","code":"@Manual{,   title = {forestly: Interactive Forest Plot},   author = {Yilong Zhang and Benjamin Wang and Yujie Zhao},   year = {2023},   note = {R package version 0.1.1, https://github.com/Merck/forestly},   url = {https://merck.github.io/forestly/}, }"},{"path":[]},{"path":"https://merck.github.io/forestly/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Interactive Forest Plot","text":"easiest way get forestly install CRAN: Alternatively, use new feature get bug fix, can install development version forestly GitHub:","code":"install.packages(\"forestly\") # install.packages(\"remotes\") remotes::install_github(\"Merck/forestly\")"},{"path":"https://merck.github.io/forestly/index.html","id":"overview","dir":"","previous_headings":"","what":"Overview","title":"Interactive Forest Plot","text":"forestly package creates interactive forest plots clinical trial analysis & reporting. Specific adverse events analysis Subgroup analysis assume ADaM datasets ready analysis leverage metalite data structure define inputs outputs.","code":""},{"path":"https://merck.github.io/forestly/index.html","id":"workflow","dir":"","previous_headings":"","what":"Workflow","title":"Interactive Forest Plot","text":"general workflow : meta_forestly() constructs input metadata treatment analysis ADaM datasets. prepare_ae_forestly() prepares datasets interactive forest plot. format_ae_forestly() formats output layout. ae_forestly() generates interactive forest plot. quick example","code":"library(\"forestly\")  meta_forestly(   forestly_adsl,   forestly_adae,   population_term = \"apat\",   observation_term = \"wk12\" ) |>   prepare_ae_forestly(parameter = \"any;rel;ser\") |>   format_ae_forestly() |>   ae_forestly()"},{"path":"https://merck.github.io/forestly/index.html","id":"interactive-features","dir":"","previous_headings":"","what":"Interactive features","title":"Interactive Forest Plot","text":"interactive features safety analysis include: Select different AE criteria. Filter incidence AE one groups. Reveal information hovering mouse data point. Search bars find subjects selected adverse events (AEs). Sort value clicking column header. Drill-listing clicking ▸.","code":""},{"path":"https://merck.github.io/forestly/index.html","id":"references","dir":"","previous_headings":"","what":"References","title":"Interactive Forest Plot","text":"Paper: 2023 PHUSE US Connect Talk: 2021 R/Pharma Conference","code":""},{"path":"https://merck.github.io/forestly/reference/ae_forestly.html","id":null,"dir":"Reference","previous_headings":"","what":"Display interactive forest plot — ae_forestly","title":"Display interactive forest plot — ae_forestly","text":"Display interactive forest plot","code":""},{"path":"https://merck.github.io/forestly/reference/ae_forestly.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Display interactive forest plot — ae_forestly","text":"","code":"ae_forestly(outdata, filter = c(\"prop\", \"n\"), width = 1400)"},{"path":"https://merck.github.io/forestly/reference/ae_forestly.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Display interactive forest plot — ae_forestly","text":"outdata outdata object created format_ae_forestly(). filter character value filter variable. width numeric value width table pixels.","code":""},{"path":"https://merck.github.io/forestly/reference/ae_forestly.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Display interactive forest plot — ae_forestly","text":"AE forest plot saved shiny.tag.list object.","code":""},{"path":"https://merck.github.io/forestly/reference/ae_forestly.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Display interactive forest plot — ae_forestly","text":"","code":"adsl <- forestly_adsl[1:100, ] adae <- forestly_adae[1:100, ] if (interactive()) {   meta_forestly(     dataset_adsl = adsl,     dataset_adae = adae,     population_term = \"apat\",     observation_term = \"wk12\"   ) |>     prepare_ae_forestly(parameter = \"any;rel\") |>     format_ae_forestly() |>     ae_forestly() }"},{"path":"https://merck.github.io/forestly/reference/forestly_adae.html","id":null,"dir":"Reference","previous_headings":"","what":"An adverse event dataset — forestly_adae","title":"An adverse event dataset — forestly_adae","text":"dataset containing adverse event information clinical trial following CDISC ADaM standard.","code":""},{"path":"https://merck.github.io/forestly/reference/forestly_adae.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"An adverse event dataset — forestly_adae","text":"","code":"forestly_adae"},{"path":"https://merck.github.io/forestly/reference/forestly_adae.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"An adverse event dataset — forestly_adae","text":"data frame 736 rows 56 variables.","code":""},{"path":"https://merck.github.io/forestly/reference/forestly_adae.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"An adverse event dataset — forestly_adae","text":"https://github.com/phuse-org/phuse-scripts/tree/master/data/adam/cdisc","code":""},{"path":"https://merck.github.io/forestly/reference/forestly_adae.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"An adverse event dataset — forestly_adae","text":"Definition variable can found https://github.com/phuse-org/phuse-scripts/tree/master/data/adam/cdisc.","code":""},{"path":"https://merck.github.io/forestly/reference/forestly_adae_3grp.html","id":null,"dir":"Reference","previous_headings":"","what":"An adverse event dataset — forestly_adae_3grp","title":"An adverse event dataset — forestly_adae_3grp","text":"dataset containing adverse event information clinical trial following CDISC ADaM standard.","code":""},{"path":"https://merck.github.io/forestly/reference/forestly_adae_3grp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"An adverse event dataset — forestly_adae_3grp","text":"","code":"forestly_adae_3grp"},{"path":"https://merck.github.io/forestly/reference/forestly_adae_3grp.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"An adverse event dataset — forestly_adae_3grp","text":"data frame 1191 rows 56 variables.","code":""},{"path":"https://merck.github.io/forestly/reference/forestly_adae_3grp.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"An adverse event dataset — forestly_adae_3grp","text":"https://github.com/phuse-org/phuse-scripts/tree/master/data/adam/cdisc","code":""},{"path":"https://merck.github.io/forestly/reference/forestly_adae_3grp.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"An adverse event dataset — forestly_adae_3grp","text":"Definition variable can found https://github.com/phuse-org/phuse-scripts/tree/master/data/adam/cdisc.","code":""},{"path":"https://merck.github.io/forestly/reference/forestly_adsl.html","id":null,"dir":"Reference","previous_headings":"","what":"A subject level demographic dataset — forestly_adsl","title":"A subject level demographic dataset — forestly_adsl","text":"dataset containing demographic information clinical trial following CDISC ADaM standard.","code":""},{"path":"https://merck.github.io/forestly/reference/forestly_adsl.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A subject level demographic dataset — forestly_adsl","text":"","code":"forestly_adsl"},{"path":"https://merck.github.io/forestly/reference/forestly_adsl.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A subject level demographic dataset — forestly_adsl","text":"data frame 170 rows 49 variables.","code":""},{"path":"https://merck.github.io/forestly/reference/forestly_adsl.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"A subject level demographic dataset — forestly_adsl","text":"https://github.com/phuse-org/phuse-scripts/tree/master/data/adam/cdisc","code":""},{"path":"https://merck.github.io/forestly/reference/forestly_adsl.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"A subject level demographic dataset — forestly_adsl","text":"Definition variable can found https://github.com/phuse-org/phuse-scripts/tree/master/data/adam/cdisc.","code":""},{"path":"https://merck.github.io/forestly/reference/forestly_adsl_3grp.html","id":null,"dir":"Reference","previous_headings":"","what":"A subject level demographic dataset — forestly_adsl_3grp","title":"A subject level demographic dataset — forestly_adsl_3grp","text":"dataset containing demographic information clinical trial following CDISC ADaM standard.","code":""},{"path":"https://merck.github.io/forestly/reference/forestly_adsl_3grp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A subject level demographic dataset — forestly_adsl_3grp","text":"","code":"forestly_adsl_3grp"},{"path":"https://merck.github.io/forestly/reference/forestly_adsl_3grp.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A subject level demographic dataset — forestly_adsl_3grp","text":"data frame 254 rows 49 variables.","code":""},{"path":"https://merck.github.io/forestly/reference/forestly_adsl_3grp.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"A subject level demographic dataset — forestly_adsl_3grp","text":"https://github.com/phuse-org/phuse-scripts/tree/master/data/adam/cdisc","code":""},{"path":"https://merck.github.io/forestly/reference/forestly_adsl_3grp.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"A subject level demographic dataset — forestly_adsl_3grp","text":"Definition variable can found https://github.com/phuse-org/phuse-scripts/tree/master/data/adam/cdisc.","code":""},{"path":"https://merck.github.io/forestly/reference/format_ae_forestly.html","id":null,"dir":"Reference","previous_headings":"","what":"Format outdata for interactive forest plot — format_ae_forestly","title":"Format outdata for interactive forest plot — format_ae_forestly","text":"Format outdata interactive forest plot","code":""},{"path":"https://merck.github.io/forestly/reference/format_ae_forestly.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Format outdata for interactive forest plot — format_ae_forestly","text":"","code":"format_ae_forestly(   outdata,   display = c(\"n\", \"prop\", \"fig_prop\", \"fig_diff\"),   digits = 1,   width_term = 200,   width_fig = 320,   width_n = 40,   width_prop = 60,   width_diff = 80,   footer_space = 90,   color = NULL,   diff_label = \"Treatment <- Favor -> Placebo\",   show_ae_parameter = FALSE )"},{"path":"https://merck.github.io/forestly/reference/format_ae_forestly.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Format outdata for interactive forest plot — format_ae_forestly","text":"outdata outdata object created prepare_ae_forestly(). display character vector measurement displayed. n: Number subjects AE. prop: Proportion subjects AE. total: Total columns. diff: Risk difference. digits value digits displayed proportion risk difference. width_term Width px AE term column. width_fig Width px proportion risk difference figure. width_n Width px \"N\" columns. width_prop Width px \"(%)\" columns. width_diff Width px risk difference columns. footer_space Space px footer display legend. color vector colors analysis groups. Default value supports 4 groups. diff_label x-axis label risk difference. show_ae_parameter boolean value display AE parameter column.","code":""},{"path":"https://merck.github.io/forestly/reference/format_ae_forestly.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Format outdata for interactive forest plot — format_ae_forestly","text":"outdata object.","code":""},{"path":"https://merck.github.io/forestly/reference/format_ae_forestly.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Format outdata for interactive forest plot — format_ae_forestly","text":"","code":"adsl <- forestly_adsl[1:100,] adae <- forestly_adae[1:100,] meta_forestly(   dataset_adsl = adsl,   dataset_adae = adae,   population_term = \"apat\",   observation_term = \"wk12\" ) |>   prepare_ae_forestly(parameter = \"any;rel\")|>   format_ae_forestly() #> Warning: In observation level data, force group variable 'TRTA' be a factor #> Warning: In observation level data, force group variable 'TRTA' be a factor #> List of 21 #>  $ meta                   :List of 7 #>  $ population             : chr \"apat\" #>  $ observation            : chr \"wk12\" #>  $ parameter              : chr \"any;rel\" #>  $ n                      :'data.frame':\t60 obs. of  3 variables: #>  $ order                  : num [1:60] 1008 1009 2019 2021 2022 ... #>  $ group                  : chr [1:3] \"Placebo\" \"Xanomeline Low Dose\" \"Total\" #>  $ reference_group        : num 2 #>  $ parameter_order        : Factor w/ 2 levels \"any\",\"rel\": 1 1 1 1 1 1 1 1 1 1 ... #>  $ prop                   :'data.frame':\t60 obs. of  3 variables: #>  $ diff                   :'data.frame':\t60 obs. of  1 variable: #>  $ n_pop                  :'data.frame':\t1 obs. of  3 variables: #>  $ name                   : chr [1:60] \"Atrioventricular block second degree\" \"Bundle branch block left\" \"Eye allergy\" \"Eye pruritus\" ... #>  $ ci_lower               :'data.frame':\t60 obs. of  1 variable: #>  $ ci_upper               :'data.frame':\t60 obs. of  1 variable: #>  $ p                      :'data.frame':\t60 obs. of  1 variable: #>  $ ae_listing             :'data.frame':\t151 obs. of  15 variables: #>  $ tbl                    :'data.frame':\t60 obs. of  13 variables: #>  $ reactable_columns      :List of 13 #>  $ reactable_columns_group:List of 3 #>  $ display                : chr [1:4] \"n\" \"prop\" \"fig_prop\" \"fig_diff\""},{"path":"https://merck.github.io/forestly/reference/meta_forestly.html","id":null,"dir":"Reference","previous_headings":"","what":"Create metadata for interactive forest plot — meta_forestly","title":"Create metadata for interactive forest plot — meta_forestly","text":"Create metadata interactive forest plot","code":""},{"path":"https://merck.github.io/forestly/reference/meta_forestly.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create metadata for interactive forest plot — meta_forestly","text":"","code":"meta_forestly(   dataset_adsl,   dataset_adae,   population_term,   population_subset = SAFFL == \"Y\",   observation_term,   observation_subset = SAFFL == \"Y\",   parameter_term = \"any;rel;ser\" )"},{"path":"https://merck.github.io/forestly/reference/meta_forestly.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create metadata for interactive forest plot — meta_forestly","text":"dataset_adsl ADSL source dataset. dataset_adae ADAE source dataset. population_term character value population term name. population_subset unquoted condition selecting populations ADSL dataset. observation_term character value observation term name. observation_subset unquoted condition selecting observations ADAE dataset. parameter_term character value parameter term name.","code":""},{"path":"https://merck.github.io/forestly/reference/meta_forestly.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create metadata for interactive forest plot — meta_forestly","text":"metalite object.","code":""},{"path":"https://merck.github.io/forestly/reference/meta_forestly.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create metadata for interactive forest plot — meta_forestly","text":"","code":"meta_forestly(   forestly_adsl,   forestly_adae,   population_term = \"apat\",   observation_term = \"wk12\" ) #> ADaM metadata:  #>    .$data_population \tPopulation data with 170 subjects  #>    .$data_observation \tObservation data with 736 records  #>    .$plan \tAnalysis plan with 1 plans  #>  #>  #>   Analysis population type: #>     name        id  group var       subset label #> 1 'apat' 'USUBJID' 'TRTA'     SAFFL == 'Y'    '' #>  #>  #>   Analysis observation type: #>     name        id  group var       subset label #> 1 'wk12' 'USUBJID' 'TRTA'     SAFFL == 'Y'    '' #>  #>  #>   Analysis parameter type: #>    name                         label                     subset #> 1 'any'          'any adverse events'                            #> 2 'rel' 'drug-related adverse events' toupper(AREL) == 'RELATED' #> 3 'ser'      'serious adverse events'               AESER == 'Y' #>  #>  #>   Analysis function: #>            name                     label #> 1 'ae_forestly' 'Interactive forest plot' #>"},{"path":"https://merck.github.io/forestly/reference/prepare_ae_forestly.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare datasets for interactive forest plot — prepare_ae_forestly","title":"Prepare datasets for interactive forest plot — prepare_ae_forestly","text":"Prepare datasets interactive forest plot","code":""},{"path":"https://merck.github.io/forestly/reference/prepare_ae_forestly.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare datasets for interactive forest plot — prepare_ae_forestly","text":"","code":"prepare_ae_forestly(   meta,   population = NULL,   observation = NULL,   parameter,   reference_group = NULL,   ae_listing_display = c(\"SEX\", \"RACE\", \"AGE\", \"ASTDY\", \"AESEV\", \"AESER\", \"AEREL\",     \"AEACN\", \"AEOUT\", \"SITEID\", \"ADURN\", \"ADURU\") )"},{"path":"https://merck.github.io/forestly/reference/prepare_ae_forestly.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare datasets for interactive forest plot — prepare_ae_forestly","text":"meta metadata object created metalite. population character value population term name. term name used key link information. observation character value observation term name. term name used key link information. parameter character value parameter term name. term name used key link information. reference_group integer indicate reference group. Default 2 2 groups, otherwise, default 1. ae_listing_display vector name variables used display AE listing table.","code":""},{"path":"https://merck.github.io/forestly/reference/prepare_ae_forestly.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare datasets for interactive forest plot — prepare_ae_forestly","text":"outdata object.","code":""},{"path":"https://merck.github.io/forestly/reference/prepare_ae_forestly.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Prepare datasets for interactive forest plot — prepare_ae_forestly","text":"","code":"adsl <- forestly_adsl[1:100,] adae <- forestly_adae[1:100,] meta_forestly(   dataset_adsl = adsl,   dataset_adae = adae,   population_term = \"apat\",   observation_term = \"wk12\" ) |>   prepare_ae_forestly(parameter = \"any;rel\") #> Warning: In observation level data, force group variable 'TRTA' be a factor #> Warning: In observation level data, force group variable 'TRTA' be a factor #> List of 17 #>  $ meta           :List of 7 #>  $ population     : chr \"apat\" #>  $ observation    : chr \"wk12\" #>  $ parameter      : chr \"any;rel\" #>  $ n              :'data.frame':\t60 obs. of  3 variables: #>  $ order          : num [1:60] 1008 1009 2019 2021 2022 ... #>  $ group          : chr [1:3] \"Placebo\" \"Xanomeline Low Dose\" \"Total\" #>  $ reference_group: num 2 #>  $ parameter_order: Factor w/ 2 levels \"any\",\"rel\": 1 1 1 1 1 1 1 1 1 1 ... #>  $ prop           :'data.frame':\t60 obs. of  3 variables: #>  $ diff           :'data.frame':\t60 obs. of  1 variable: #>  $ n_pop          :'data.frame':\t1 obs. of  3 variables: #>  $ name           : chr [1:60] \"Atrioventricular block second degree\" \"Bundle branch block left\" \"Eye allergy\" \"Eye pruritus\" ... #>  $ ci_lower       :'data.frame':\t60 obs. of  1 variable: #>  $ ci_upper       :'data.frame':\t60 obs. of  1 variable: #>  $ p              :'data.frame':\t60 obs. of  1 variable: #>  $ ae_listing     :'data.frame':\t151 obs. of  15 variables:"},{"path":"https://merck.github.io/forestly/news/index.html","id":"forestly-011","dir":"Changelog","previous_headings":"","what":"forestly 0.1.1","title":"forestly 0.1.1","text":"Fix bug record selected AE category (#9). Fix bug multiple plots displayed one page (#12). Update dataset forestly_adae since variable factor unexpected.","code":""},{"path":"https://merck.github.io/forestly/news/index.html","id":"forestly-010","dir":"Changelog","previous_headings":"","what":"forestly 0.1.0","title":"forestly 0.1.0","text":"CRAN release: 2023-07-19 Initial version. Added NEWS.md file track changes package.","code":""}]
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