From 0911e407aacee2e41c1a529bf8dc1f86b1778836 Mon Sep 17 00:00:00 2001 From: marcosci Date: Fri, 16 Feb 2018 14:38:32 +0100 Subject: [PATCH] fix errors/warnings from rhub/win_builder --- R/NLMR.R | 8 +- R/theme_nlm.R | 78 ++++++------------ R/util_facetplot.R | 11 +-- R/zzz.R | 9 +- README.md | 28 +++++-- cran-comments.md | 3 +- docs/articles/README-example-1.png | Bin 20994 -> 22353 bytes docs/articles/README-example-2.png | Bin 17707 -> 18845 bytes docs/articles/background.html | 2 +- docs/articles/bestiary.html | 2 +- docs/articles/faq.html | 2 +- docs/articles/getstarted.html | 14 ++-- .../articles/getstarted_cache/html/__packages | 1 + ...le2_bd81aa73ec66183171809fde3eee629b.RData | Bin 0 -> 2966 bytes ...mple2_bd81aa73ec66183171809fde3eee629b.rdb | Bin 0 -> 1297 bytes ...mple2_bd81aa73ec66183171809fde3eee629b.rdx | Bin 0 -> 128 bytes ...ple_a01dd30ec0e236dfbdc410b9d6cfbdf4.RData | Bin 0 -> 2906 bytes ...ample_a01dd30ec0e236dfbdc410b9d6cfbdf4.rdb | Bin 0 -> 637 bytes 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vignettes/getstarted_cache/html/raster-example_a01dd30ec0e236dfbdc410b9d6cfbdf4.RData create mode 100644 vignettes/getstarted_cache/html/raster-example_a01dd30ec0e236dfbdc410b9d6cfbdf4.rdb create mode 100644 vignettes/getstarted_cache/html/raster-example_a01dd30ec0e236dfbdc410b9d6cfbdf4.rdx diff --git a/R/NLMR.R b/R/NLMR.R index 8117515..713d220 100644 --- a/R/NLMR.R +++ b/R/NLMR.R @@ -6,12 +6,12 @@ #' of the \emph{NLMR} package. The vignettes in this package are listed below. #' #' \describe{ -#' \item{\href{https://marcosci.github.io/NLMR/articles/background.html}{NLM +#' \item{\href{https://marcosci.github.io/NLMR/articles/background.html/}{NLM #' Concepts + Terminology}}{Background information on the concepts and #' terminology that underpin the simulation of neutral landscape models.} -#' \item{\href{https://marcosci.github.io/NLMR/articles/bestiary.html}{NLMR +#' \item{\href{https://marcosci.github.io/NLMR/articles/bestiary.html/}{NLMR #' Bestiary}}{Bestiary of the available neutral landscape models.} -#' \item{\href{https://marcosci.github.io/NLMR/articles/BasicUsageVignette.html}{ +#' \item{\href{https://marcosci.github.io/NLMR/articles/getstarted.html/}{ #' Quickstart Guide}}{Short walk-through of the \emph{NLMR} package and how to #' handle the simulations.} #' } @@ -21,7 +21,7 @@ # nolint start "_PACKAGE" -globalVariables(c("value", ".")) +globalVariables(c("x", "value", ".")) # nolint end # nocov end diff --git a/R/theme_nlm.R b/R/theme_nlm.R index 346c474..4e1c8cd 100644 --- a/R/theme_nlm.R +++ b/R/theme_nlm.R @@ -36,15 +36,17 @@ #' "viridis - viridis" (= "D", the default option) #' #' @details -#' A focused theme to visualize raster data. -#' The theme makes use of the Roboto Condensed font (Open Source font from -#' Google) and sets a lot of defaults for the +#' A focused theme to visualize raster data that sets a lot of defaults for the #' \code{ggplot2::theme}. +#' +#' The theme can make use of the Roboto Condensed font (Open Source font from +#' Google). #' If your local font library does not contain Roboto as a font, you can -#' import it via \code{\link{util_import_roboto_condensed}}. +#' import it via \code{\link{util_import_roboto_condensed}} (highly recommended). +#' #' The functions are setup in such a way that you can customize your own one by #' just wrapping the call and changing the parameters. -#' The theme itself is heavily influenced by hrbrmstr and his great package +#' The theme itself is heavily influenced by hrbrmstr and his package #' hrbrthemes (\url{https://github.com/hrbrmstr/hrbrthemes/}). #' #' @seealso \code{\link{util_import_roboto_condensed}} @@ -53,8 +55,8 @@ #' # nolint start #' \dontrun{ #' # simulate NLM -#' x <- NLMR::nlm_random(ncol = 75, -#' nrow = 75) +#' x <- nlm_random(ncol = 75, +#' nrow = 75) #' # classify #' y <- c(0.5, 0.15, 0.25) #' y <- util_classify(x, y, c("1", "2", "3")) @@ -109,26 +111,20 @@ NULL #' @rdname theme_nlm #' @export -theme_nlm <- function(base_family = "Roboto Condensed", +theme_nlm <- function(base_family = "serif", base_size = 11.5, - plot_title_family = base_family, + plot_title_family = "serif", plot_title_size = 18, plot_title_face = "bold", plot_title_margin = 10, - subtitle_family = if (.Platform$OS.type == "windows") - "Roboto Condensed" - else - "Roboto Condensed Light", + subtitle_family = "serif", subtitle_size = 13, subtitle_face = "plain", subtitle_margin = 15, strip_text_family = base_family, strip_text_size = 12, strip_text_face = "plain", - caption_family = if (.Platform$OS.type == "windows") - "Roboto Condensed" - else - "Roboto Condensed Light", + caption_family = "serif", caption_size = 9, caption_face = "plain", caption_margin = 10, @@ -143,8 +139,7 @@ theme_nlm <- function(base_family = "Roboto Condensed", # extend it theme_base <- ret + ggplot2::theme( legend.background = ggplot2::element_blank(), - legend.text = ggplot2::element_text(size = 8, - family = "Roboto Condensed Light"), + legend.text = ggplot2::element_text(size = 8), aspect.ratio = ratio, plot.margin = plot_margin, strip.text = ggplot2::element_text( @@ -202,26 +197,20 @@ theme_nlm <- function(base_family = "Roboto Condensed", #' @rdname theme_nlm #' @export theme_nlm_discrete <- function( - base_family = "Roboto Condensed", + base_family = "serif", base_size = 11.5, plot_title_family = base_family, plot_title_size = 18, plot_title_face = "bold", plot_title_margin = 10, - subtitle_family = if (.Platform$OS.type == "windows") - "Roboto Condensed" - else - "Roboto Condensed Light", + subtitle_family = "serif", subtitle_size = 13, subtitle_face = "plain", subtitle_margin = 15, strip_text_family = base_family, strip_text_size = 12, strip_text_face = "plain", - caption_family = if (.Platform$OS.type == "windows") - "Roboto Condensed" - else - "Roboto Condensed Light", + caption_family = "serif", caption_size = 9, caption_face = "plain", caption_margin = 10, @@ -237,8 +226,7 @@ theme_nlm_discrete <- function( # extend it theme_base <- ret + ggplot2::theme( legend.background = ggplot2::element_blank(), - legend.text = ggplot2::element_text(size = 8, - family = "Roboto Condensed Light"), + legend.text = ggplot2::element_text(size = 8), aspect.ratio = ratio, plot.margin = plot_margin, strip.text = ggplot2::element_text( @@ -301,26 +289,20 @@ theme_nlm_discrete <- function( #' @rdname theme_nlm #' @export -theme_nlm_grey <- function(base_family = "Roboto Condensed", +theme_nlm_grey <- function(base_family = "serif", base_size = 11.5, plot_title_family = base_family, plot_title_size = 18, plot_title_face = "bold", plot_title_margin = 10, - subtitle_family = if (.Platform$OS.type == "windows") - "Roboto Condensed" - else - "Roboto Condensed Light", + subtitle_family = "serif", subtitle_size = 13, subtitle_face = "plain", subtitle_margin = 15, strip_text_family = base_family, strip_text_size = 12, strip_text_face = "plain", - caption_family = if (.Platform$OS.type == "windows") - "Roboto Condensed" - else - "Roboto Condensed Light", + caption_family = "serif", caption_size = 9, caption_face = "plain", caption_margin = 10, @@ -335,8 +317,7 @@ theme_nlm_grey <- function(base_family = "Roboto Condensed", # extend it theme_base <- ret + ggplot2::theme( legend.background = ggplot2::element_blank(), - legend.text = ggplot2::element_text(size = 8, - family = "Roboto Condensed Light"), + legend.text = ggplot2::element_text(size = 8), aspect.ratio = ratio, plot.margin = plot_margin, strip.text = ggplot2::element_text( @@ -394,26 +375,20 @@ theme_nlm_grey <- function(base_family = "Roboto Condensed", #' @rdname theme_nlm #' @export theme_nlm_grey_discrete <- - function(base_family = "Roboto Condensed", + function(base_family = "serif", base_size = 11.5, plot_title_family = base_family, plot_title_size = 18, plot_title_face = "bold", plot_title_margin = 10, - subtitle_family = if (.Platform$OS.type == "windows") - "Roboto Condensed" - else - "Roboto Condensed Light", + subtitle_family = "serif", subtitle_size = 13, subtitle_face = "plain", subtitle_margin = 15, strip_text_family = base_family, strip_text_size = 12, strip_text_face = "plain", - caption_family = if (.Platform$OS.type == "windows") - "Roboto Condensed" - else - "Roboto Condensed Light", + caption_family = "serif", caption_size = 9, caption_face = "plain", caption_margin = 10, @@ -429,8 +404,7 @@ theme_nlm_grey_discrete <- # extend it theme_base <- ret + ggplot2::theme( legend.background = ggplot2::element_blank(), - legend.text = ggplot2::element_text(size = 8, - family = "Roboto Condensed Light"), + legend.text = ggplot2::element_text(size = 8), aspect.ratio = ratio, plot.margin = plot_margin, strip.text = ggplot2::element_text( diff --git a/R/util_facetplot.R b/R/util_facetplot.R index 230a1a3..2ce6317 100644 --- a/R/util_facetplot.R +++ b/R/util_facetplot.R @@ -18,15 +18,16 @@ #' \dontrun{ #' l1 <- nlm_fBm(64, 64) #' l2 <- nlm_planargradient(64, 64) -#' l3 <- nlm_mosaicfield(42, 42) +#' l3 <- nlm_randomrectangularcluster(ncol = 60, nrow = 60, minl = 5, maxl = 10) +#' l4 <- nlm_random(64, 64) #' #' bri1 <- raster::brick(l1, l2) #' util_facetplot(bri1) #' -#' lst1 <- list(lay1 = l1, -#' lay2 = l2, -#' lay3 = l3, -#' lay4 = nlm_random(70, 70)) +#' lst1 <- list(layer1 = l1, +#' layer2 = l2, +#' layer3 = l3, +#' layer4 = l4) #' util_facetplot(lst1) #' } #' diff --git a/R/zzz.R b/R/zzz.R index 3cf4b24..33a2597 100644 --- a/R/zzz.R +++ b/R/zzz.R @@ -8,14 +8,17 @@ # https://github.com/hrbrmstr/hrbrthemes if (.Platform$OS.type == "windows") { - if (interactive()) packageStartupMessage("Registering Windows fonts with R") + if (interactive()) packageStartupMessage( + "Registering Windows fonts with R for advanced plotting options" + ) # work around for https://github.com/wch/extrafont/issues/44 windowsFonts <- grDevices::windowsFonts extrafont::loadfonts("win", quiet = TRUE) } - if (interactive()) packageStartupMessage("Registering PDF & - PostScript fonts with R") + if (interactive()) packageStartupMessage( + "Registering PDF & PostScript fonts with R for advanced plotting options" + ) #work around for https://github.com/wch/extrafont/issues/44 pdfFonts <- grDevices::pdfFonts extrafont::loadfonts("pdf", quiet = TRUE) diff --git a/README.md b/README.md index e0c9d36..60a5e23 100644 --- a/README.md +++ b/README.md @@ -30,11 +30,27 @@ Here we will provide a simple example on using `NLMR`: ``` r library(NLMR) -#> Registering PDF & -#> PostScript fonts with R library(magrittr) +#> +#> Attaching package: 'magrittr' +#> The following object is masked from 'package:raster': +#> +#> extract +#> The following objects are masked from 'package:testthat': +#> +#> equals, is_less_than, not library(ggplot2) # to extend the plot functionality of NLMR +#> +#> Attaching package: 'ggplot2' +#> The following object is masked from 'package:raster': +#> +#> calc library(SDMTools) # to calculate basic landscape metrics +#> +#> Attaching package: 'SDMTools' +#> The following object is masked from 'package:raster': +#> +#> distance # Simulate 50x50 rectangular cluster raster nlm_raster <- nlm_randomrectangularcluster(50,50, resolution = 1, minl = 3, maxl = 7) @@ -71,9 +87,9 @@ raster::as.matrix(nlm_raster) %>% | patchID| n.cell| n.core.cell| n.edges.perimeter| n.edges.internal| area| core.area| perimeter| perim.area.ratio| shape.index| frac.dim.index| core.area.index| |--------:|-------:|------------:|------------------:|-----------------:|-----:|----------:|----------:|-----------------:|------------:|---------------:|----------------:| -| 0| 1245| 559| 832| 4148| 1245| 559| 832| 0.6682731| 5.859155| 1.497859| 0.4489960| -| 1| 608| 196| 580| 1852| 608| 196| 580| 0.9539474| 5.800000| 1.552761| 0.3223684| -| 2| 647| 163| 654| 1934| 647| 163| 654| 1.0108192| 6.411765| 1.574951| 0.2519320| +| 0| 1221| 622| 682| 4202| 1221| 622| 682| 0.5585586| 4.871429| 1.446019| 0.5094185| +| 1| 641| 197| 628| 1936| 641| 197| 628| 0.9797192| 6.156863| 1.564667| 0.3073323| +| 2| 638| 178| 602| 1950| 638| 178| 602| 0.9435737| 5.901961| 1.552710| 0.2789969| Citation -------- @@ -90,7 +106,7 @@ Citation @Misc{, title = {{NLMR}: Simulating neutral landscape models.}, author = {Marco Sciaini and Matthias Fritsch and Craig E. Simpkins}, - note = {R package version 0.2}, + note = {R package version 0.2.1}, url = {https://CRAN.R-project.org/package=NLMR}, } diff --git a/cran-comments.md b/cran-comments.md index 9c084c0..400dd50 100644 --- a/cran-comments.md +++ b/cran-comments.md @@ -1,7 +1,6 @@ ## Updated package -This update adds more functionality to the package and provides some additional -bug fixes. +This update fixes an error on CRAN and has small updates. ## Test environments diff --git a/docs/articles/README-example-1.png b/docs/articles/README-example-1.png index 3b7066892b79ddca6161d94c0bf60d4b552225ad..68315b7c10d6c2fa39e97a16bc4ac14e056bb999 100644 GIT binary patch literal 22353 zcmd43WmuKr);0PlDhN_aNC*OgGzKB9D4>9J!vY2A?iN%^5K)nmF6l051OWj7kyvzh zcgHuE`~9x>y!-uP@9Uf&XI+;COV;z;_q^vEbBr;cxAL-*__&m~2!h~0dHhHbLC(fw ze&L*jue9o@e}X?QT0hpXLlA;`%&#*|R%tH~EUDYbMoI0(>wpzih#a;MkNU>F$x$TqflU12Q zEn;$#r^Mpc&!b*NZXQl{+ngns_;m|A$3>X-$Y!RzeIxQsdsHDxUy(!{uB9v@h!g&B 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NLM Concepts + Terminology

Marco Sciaini

-

2018-02-14

+

2018-02-16

diff --git a/docs/articles/bestiary.html b/docs/articles/bestiary.html index 94abbec..a435cd2 100644 --- a/docs/articles/bestiary.html +++ b/docs/articles/bestiary.html @@ -104,7 +104,7 @@

Bestiary

Marco Sciaini

-

2018-02-14

+

2018-02-16

diff --git a/docs/articles/faq.html b/docs/articles/faq.html index 5b249eb..ae5cc80 100644 --- a/docs/articles/faq.html +++ b/docs/articles/faq.html @@ -104,7 +104,7 @@

Frequently Asked Questions

Marco Sciaini

-

2018-02-14

+

2018-02-16

diff --git a/docs/articles/getstarted.html b/docs/articles/getstarted.html index a61a94d..2dd3748 100644 --- a/docs/articles/getstarted.html +++ b/docs/articles/getstarted.html @@ -104,7 +104,7 @@

Basic Usage of NLMR

Marco Sciaini & Craig E.Simpkins

-

2018-02-14

+

2018-02-16

@@ -195,17 +195,17 @@

## # A tibble: 3 x 2 ## count class ## <dbl> <int> -## 1 1207 0 -## 2 629 1 -## 3 664 2 +## 1 1239 0 +## 2 632 1 +## 3 629 2 ## ## $Proportion_Area ## # A tibble: 3 x 2 ## count class ## <dbl> <int> -## 1 0.483 0 -## 2 0.252 1 -## 3 0.266 2 +## 1 0.496 0 +## 2 0.253 1 +## 3 0.252 2

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@Misc{, title = {{NLMR}: Simulating neutral landscape models.}, author = {Marco Sciaini and Matthias Fritsch and Craig E. Simpkins}, - note = {R package version 0.2}, + note = {R package version 0.2.1}, url = {https://CRAN.R-project.org/package=NLMR}, }

Additionally, we keep a record of publications that useNLMR. Hence, if you used NLMR please file an issue on GitHub so we can add it to the list.

diff --git a/docs/reference/NLMR-package.html b/docs/reference/NLMR-package.html index c08e0b7..339bf61 100644 --- a/docs/reference/NLMR-package.html +++ b/docs/reference/NLMR-package.html @@ -141,7 +141,7 @@

Details terminology that underpin the simulation of neutral landscape models.

NLMR Bestiary

Bestiary of the available neutral landscape models.

-
+
Quickstart Guide

Short walk-through of the NLMR package and how to handle the simulations.

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zUC8S7T*M^=X0R(<1n-ne&s9{c!b){ZlWM-PAyp^ehCo3g9h(8Tg}3aDii$h+^}nmt zi2E>PEMnBnU>ta%fvFC0LJLw+&D00}k+4L3{$Ek3{{KgRuj2g&-_fM5Q(E_zHC}qg P#E;+TN^`loj``Ccm5s)S diff --git a/docs/reference/theme_nlm.html b/docs/reference/theme_nlm.html index ab80ada..c3fbdd5 100644 --- a/docs/reference/theme_nlm.html +++ b/docs/reference/theme_nlm.html @@ -131,54 +131,46 @@

theme_nlm

Opinionated ggplot2 theme to visualize NLM raster.

-
theme_nlm(base_family = "Roboto Condensed", base_size = 11.5,
-  plot_title_family = base_family, plot_title_size = 18,
-  plot_title_face = "bold", plot_title_margin = 10, subtitle_family = if
-  (.Platform$OS.type == "windows") "Roboto Condensed" else
-  "Roboto Condensed Light", subtitle_size = 13, subtitle_face = "plain",
+    
theme_nlm(base_family = "serif", base_size = 11.5,
+  plot_title_family = "serif", plot_title_size = 18,
+  plot_title_face = "bold", plot_title_margin = 10,
+  subtitle_family = "serif", subtitle_size = 13, subtitle_face = "plain",
   subtitle_margin = 15, strip_text_family = base_family,
-  strip_text_size = 12, strip_text_face = "plain", caption_family = if
-  (.Platform$OS.type == "windows") "Roboto Condensed" else
-  "Roboto Condensed Light", caption_size = 9, caption_face = "plain",
+  strip_text_size = 12, strip_text_face = "plain",
+  caption_family = "serif", caption_size = 9, caption_face = "plain",
   caption_margin = 10, legend_title = "Z",
   plot_margin = ggplot2::margin(30, 30, 30, 30), ratio = 1,
   viridis_scale = "D")
 
-theme_nlm_discrete(base_family = "Roboto Condensed", base_size = 11.5,
+theme_nlm_discrete(base_family = "serif", base_size = 11.5,
   plot_title_family = base_family, plot_title_size = 18,
-  plot_title_face = "bold", plot_title_margin = 10, subtitle_family = if
-  (.Platform$OS.type == "windows") "Roboto Condensed" else
-  "Roboto Condensed Light", subtitle_size = 13, subtitle_face = "plain",
+  plot_title_face = "bold", plot_title_margin = 10,
+  subtitle_family = "serif", subtitle_size = 13, subtitle_face = "plain",
   subtitle_margin = 15, strip_text_family = base_family,
-  strip_text_size = 12, strip_text_face = "plain", caption_family = if
-  (.Platform$OS.type == "windows") "Roboto Condensed" else
-  "Roboto Condensed Light", caption_size = 9, caption_face = "plain",
+  strip_text_size = 12, strip_text_face = "plain",
+  caption_family = "serif", caption_size = 9, caption_face = "plain",
   caption_margin = 10, legend_title = "Z", legend_labels = NULL,
   plot_margin = ggplot2::margin(30, 30, 30, 30), ratio = 1,
   viridis_scale = "D")
 
-theme_nlm_grey(base_family = "Roboto Condensed", base_size = 11.5,
+theme_nlm_grey(base_family = "serif", base_size = 11.5,
   plot_title_family = base_family, plot_title_size = 18,
-  plot_title_face = "bold", plot_title_margin = 10, subtitle_family = if
-  (.Platform$OS.type == "windows") "Roboto Condensed" else
-  "Roboto Condensed Light", subtitle_size = 13, subtitle_face = "plain",
+  plot_title_face = "bold", plot_title_margin = 10,
+  subtitle_family = "serif", subtitle_size = 13, subtitle_face = "plain",
   subtitle_margin = 15, strip_text_family = base_family,
-  strip_text_size = 12, strip_text_face = "plain", caption_family = if
-  (.Platform$OS.type == "windows") "Roboto Condensed" else
-  "Roboto Condensed Light", caption_size = 9, caption_face = "plain",
+  strip_text_size = 12, strip_text_face = "plain",
+  caption_family = "serif", caption_size = 9, caption_face = "plain",
   caption_margin = 10, legend_title = "Z",
   plot_margin = ggplot2::margin(30, 30, 30, 30), ratio = 1,
   viridis_scale = "D")
 
-theme_nlm_grey_discrete(base_family = "Roboto Condensed", base_size = 11.5,
+theme_nlm_grey_discrete(base_family = "serif", base_size = 11.5,
   plot_title_family = base_family, plot_title_size = 18,
-  plot_title_face = "bold", plot_title_margin = 10, subtitle_family = if
-  (.Platform$OS.type == "windows") "Roboto Condensed" else
-  "Roboto Condensed Light", subtitle_size = 13, subtitle_face = "plain",
+  plot_title_face = "bold", plot_title_margin = 10,
+  subtitle_family = "serif", subtitle_size = 13, subtitle_face = "plain",
   subtitle_margin = 15, strip_text_family = base_family,
-  strip_text_size = 12, strip_text_face = "plain", caption_family = if
-  (.Platform$OS.type == "windows") "Roboto Condensed" else
-  "Roboto Condensed Light", caption_size = 9, caption_face = "plain",
+  strip_text_size = 12, strip_text_face = "plain",
+  caption_family = "serif", caption_size = 9, caption_face = "plain",
   caption_margin = 10, legend_title = "Z", legend_labels = NULL,
   plot_margin = ggplot2::margin(30, 30, 30, 30), ratio = 1,
   viridis_scale = "D")
@@ -288,15 +280,15 @@

Ar

Details

-

A focused theme to visualize raster data. -The theme makes use of the Roboto Condensed font (Open Source font from -Google) and sets a lot of defaults for the -ggplot2::theme. +

A focused theme to visualize raster data that sets a lot of defaults for the +ggplot2::theme.

+

The theme can make use of the Roboto Condensed font (Open Source font from +Google). If your local font library does not contain Roboto as a font, you can -import it via util_import_roboto_condensed. -The functions are setup in such a way that you can customize your own one by +import it via util_import_roboto_condensed (highly recommended).

+

The functions are setup in such a way that you can customize your own one by just wrapping the call and changing the parameters. -The theme itself is heavily influenced by hrbrmstr and his great package +The theme itself is heavily influenced by hrbrmstr and his package hrbrthemes (https://github.com/hrbrmstr/hrbrthemes/).

See also

@@ -307,8 +299,8 @@

See a

Examples

# nolint start
# simulate NLM -x <- NLMR::nlm_random(ncol = 75, - nrow = 75) +x <- nlm_random(ncol = 75, + nrow = 75) # classify y <- c(0.5, 0.15, 0.25) y <- util_classify(x, y, c("1", "2", "3")) diff --git a/docs/reference/util_facetplot-1.png b/docs/reference/util_facetplot-1.png index c932e7bcbf13fcf9a3ddfc0cd0444f573f7efd6f..bf26e0a67f0f655f5249d6c889682103368cfb29 100644 GIT binary patch literal 43393 zcmeFZ2T)X9*EQHC5EKzf4Tu3G$0kdbsDR`sNobNp$r)4-2@NP2$)MyMnj9oFLK8$X zO_H3EoMBGu^Ss~uHB(dbe^XOaHT8Fuay#7Hr_b4YpS{;!>jo(+$`asH;zJ-1f@e>q zR3VUSZV<>7qwAN!D?eXK;ekJRub=8TLLiiX{#`1W%p8G09zdQ+JyCZ{T$^x@(lbrE z*jk)?;W<_6a;Kx2{&n+h+C&8s;hR@+hyoE097b?RNiMZtdh#pF?XI#(;!}UTh;KJb z1G!-j6t7(=7+My-w&mw{rGzz zA(?jR&yjzC#Fak>*9qSLz2thx2vFsujr#s<~7viQa&JPBY`yO_h zaIt9SYZt%#=0_;1yayL~(L zL0`B}`IzHlDY4_ea7Dr8FV}96olZ=h=~paXhCuOn&lctddNj23qn|#y=X3aLw9MRY zqGqpM?0oC&U}{sKN0Ly)sTq$!&+XUy!DLzpgj6=oXw4IYnbcfox?5A$Bgk@bpO`^$ zyuwP$nc)fq3gbOq*jvg79~vAK*&l)TSqwlOM~ptOX%|lqs41N_;fhY5oQoWcV>bxS 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Details

Examples

l1 <- nlm_fBm(64, 64)
#> Warning: partial argument match of 'class' to 'class2'
l2 <- nlm_planargradient(64, 64) -l3 <- nlm_mosaicfield(42, 42) +l3 <- nlm_randomrectangularcluster(ncol = 60, nrow = 60, minl = 5, maxl = 10) +l4 <- nlm_random(64, 64) bri1 <- raster::brick(l1, l2) util_facetplot(bri1)
#> Warning: partial argument match of 'length' to 'length.out'
-lst1 <- list(lay1 = l1, - lay2 = l2, - lay3 = l3, - lay4 = nlm_random(70, 70)) +lst1 <- list(layer1 = l1, + layer2 = l2, + layer3 = l3, + layer4 = l4) util_facetplot(lst1)
#> Warning: partial argument match of 'length' to 'length.out'

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