vignettes/intro-to-viridis.Rmd
intro-to-viridis.RmdThe package also contains color scale functions for ggplot plots: scale_color_viridis() and scale_fill_viridis(). As with viridis(), you can use the other scales with the option argument in the ggplot scales.
Here the “magma” scale is used for a cloropleth map of U.S. unemployment:
-unemp <- read.csv("http://datasets.flowingdata.com/unemployment09.csv",
- header = FALSE, stringsAsFactors = FALSE)
-names(unemp) <- c("id", "state_fips", "county_fips", "name", "year",
- "?", "?", "?", "rate")
-unemp$county <- tolower(gsub(" County, [A-Z]{2}", "", unemp$name))
-unemp$county <- gsub("^(.*) parish, ..$","\\1", unemp$county)
-unemp$state <- gsub("^.*([A-Z]{2}).*$", "\\1", unemp$name)
+# unemp <- read.csv("http://datasets.flowingdata.com/unemployment09.csv",
+# header = FALSE, stringsAsFactors = FALSE)
+# names(unemp) <- c("id", "state_fips", "county_fips", "name", "year",
+# "?", "?", "?", "rate")
+# unemp$county <- tolower(gsub(" County, [A-Z]{2}", "", unemp$name))
+# unemp$county <- gsub("^(.*) parish, ..$","\\1", unemp$county)
+# unemp$state <- gsub("^.*([A-Z]{2}).*$", "\\1", unemp$name)
+data(unemp)
county_df <- map_data("county", projection = "albers", parameters = c(39, 45))
names(county_df) <- c("long", "lat", "group", "order", "state_name", "county")
diff --git a/docs/articles/intro-to-viridis_files/figure-html/tldr_ggplot-1.png b/docs/articles/intro-to-viridis_files/figure-html/tldr_ggplot-1.png
index 1a48bae..ed96a7a 100644
Binary files a/docs/articles/intro-to-viridis_files/figure-html/tldr_ggplot-1.png and b/docs/articles/intro-to-viridis_files/figure-html/tldr_ggplot-1.png differ
diff --git a/docs/authors.html b/docs/authors.html
index e312249..db66dc7 100644
--- a/docs/authors.html
+++ b/docs/authors.html
@@ -79,7 +79,7 @@
inst/CITATION
- Simon Garnier, Noam Ross, Robert Rudis, Antônio P. Camargo, Marco Sciaini, and Cédric Scherer (). Rvision - Colorblind-Friendly Color Maps for R. R package version 0.6.0.
+Simon Garnier, Noam Ross, Robert Rudis, Antônio P. Camargo, Marco Sciaini, and Cédric Scherer (). Rvision - Colorblind-Friendly Color Maps for R. R package version 0.6.1.
@Manual{,
title = {{viridis} - Colorblind-Friendly Color Maps for R},
author = {{Garnier} and {Simon} and {Ross} and {Noam} and {Rudis} and {Robert} and {Camargo} and Antônio Pedro and {Sciaini} and {Marco} and {Scherer} and {Cédric}},
- note = {R package version 0.6.0},
+ note = {R package version 0.6.1},
url = {https://sjmgarnier.github.io/viridis/},
doi = {10.5281/zenodo.4679424},
doi = {10.5281/zenodo.4679424},
diff --git a/docs/index.html b/docs/index.html
index 141f945..479cbb2 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -5,7 +5,7 @@
-Default Color Maps from matplotlib • viridis
+Colorblind-Friendly Color Maps for R • viridis
@@ -17,7 +17,7 @@
-
+
viridis
- 0.6.0
+ 0.6.1
diff --git a/docs/news/index.html b/docs/news/index.html
index 665bde8..bc689d2 100644
--- a/docs/news/index.html
+++ b/docs/news/index.html
@@ -79,7 +79,7 @@
@@ -134,21 +134,41 @@ Changelog
Source: NEWS.md
-
-
-viridisLite 0.4.0 2017-03-27
+
+
+
+viridisLite 0.6.0 2021-04-15
+
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+
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+Minor improvements and fixes
+
- Minor bug fixes and improvements here and there.
diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
index f90471c..d456e47 100644
--- a/docs/pkgdown.yml
+++ b/docs/pkgdown.yml
@@ -3,7 +3,7 @@ pkgdown: 1.6.1
pkgdown_sha: ~
articles:
intro-to-viridis: intro-to-viridis.html
-last_built: 2021-04-14T15:18Z
+last_built: 2021-05-04T09:42Z
urls:
reference: https://sjmgarnier.github.io/viridis/reference
article: https://sjmgarnier.github.io/viridis/articles
diff --git a/docs/reference/index.html b/docs/reference/index.html
index 4d945ce..e16e083 100644
--- a/docs/reference/index.html
+++ b/docs/reference/index.html
@@ -79,7 +79,7 @@
@@ -161,6 +161,12 @@ unemp
+
+ USA Unemployment in 2009
+
diff --git a/docs/reference/reexports.html b/docs/reference/reexports.html
index 038d895..ccd70be 100644
--- a/docs/reference/reexports.html
+++ b/docs/reference/reexports.html
@@ -85,7 +85,7 @@
diff --git a/docs/reference/scale_viridis.html b/docs/reference/scale_viridis.html
index a63411f..8ce21b6 100644
--- a/docs/reference/scale_viridis.html
+++ b/docs/reference/scale_viridis.html
@@ -89,7 +89,7 @@
diff --git a/docs/reference/unemp.html b/docs/reference/unemp.html
new file mode 100644
index 0000000..9ea8a30
--- /dev/null
+++ b/docs/reference/unemp.html
@@ -0,0 +1,193 @@
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+USA Unemployment in 2009 — unemp • viridis
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+ A data set containing the 2009 unemployment data in the USA by
+ county.
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+ unemp
+
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+ Format
+
+ A data frame with 3218 rows and 8 variables:
+ - id
the county ID number
- state_fips
the state FIPS number
- county_fips
the county FIPS number
- name
the county name
- year
the year
- rate
the unemployment rate
- county
the county abbreviated name
- state
the state acronym
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diff --git a/docs/reference/viridis_pal.html b/docs/reference/viridis_pal.html
index 307fc38..bc7ca27 100644
--- a/docs/reference/viridis_pal.html
+++ b/docs/reference/viridis_pal.html
@@ -82,7 +82,7 @@
diff --git a/docs/sitemap.xml b/docs/sitemap.xml
index e24be7f..28792f9 100644
--- a/docs/sitemap.xml
+++ b/docs/sitemap.xml
@@ -9,6 +9,9 @@
https://sjmgarnier.github.io/viridis/reference/scale_viridis.html
+
+ https://sjmgarnier.github.io/viridis/reference/unemp.html
+
https://sjmgarnier.github.io/viridis/reference/viridis_pal.html
diff --git a/man/unemp.Rd b/man/unemp.Rd
new file mode 100644
index 0000000..afeb6df
--- /dev/null
+++ b/man/unemp.Rd
@@ -0,0 +1,30 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/scales.R
+\docType{data}
+\name{unemp}
+\alias{unemp}
+\title{USA Unemployment in 2009}
+\format{
+A data frame with 3218 rows and 8 variables:
+\describe{
+ \item{id}{the county ID number}
+ \item{state_fips}{the state FIPS number}
+ \item{county_fips}{the county FIPS number}
+ \item{name}{the county name}
+ \item{year}{the year}
+ \item{rate}{the unemployment rate}
+ \item{county}{the county abbreviated name}
+ \item{state}{the state acronym}
+}
+}
+\source{
+\url{http://datasets.flowingdata.com/unemployment09.csv}
+}
+\usage{
+unemp
+}
+\description{
+A data set containing the 2009 unemployment data in the USA by
+ county.
+}
+\keyword{datasets}
diff --git a/vignettes/intro-to-viridis.R b/vignettes/intro-to-viridis.R
index 73425ff..1d7f240 100644
--- a/vignettes/intro-to-viridis.R
+++ b/vignettes/intro-to-viridis.R
@@ -103,13 +103,14 @@ us <- projectRaster(us, crs="+proj=aea +lat_1=29.5 +lat_2=45.5 +lat_0=37.5 +lon_
image(us, col=inferno(256), asp=1, axes=FALSE, xaxs="i", xaxt='n', yaxt='n', ann=FALSE)
## ---- ggplot2-----------------------------------------------------------------
-unemp <- read.csv("http://datasets.flowingdata.com/unemployment09.csv",
- header = FALSE, stringsAsFactors = FALSE)
-names(unemp) <- c("id", "state_fips", "county_fips", "name", "year",
- "?", "?", "?", "rate")
-unemp$county <- tolower(gsub(" County, [A-Z]{2}", "", unemp$name))
-unemp$county <- gsub("^(.*) parish, ..$","\\1", unemp$county)
-unemp$state <- gsub("^.*([A-Z]{2}).*$", "\\1", unemp$name)
+# unemp <- read.csv("http://datasets.flowingdata.com/unemployment09.csv",
+# header = FALSE, stringsAsFactors = FALSE)
+# names(unemp) <- c("id", "state_fips", "county_fips", "name", "year",
+# "?", "?", "?", "rate")
+# unemp$county <- tolower(gsub(" County, [A-Z]{2}", "", unemp$name))
+# unemp$county <- gsub("^(.*) parish, ..$","\\1", unemp$county)
+# unemp$state <- gsub("^.*([A-Z]{2}).*$", "\\1", unemp$name)
+data(unemp)
county_df <- map_data("county", projection = "albers", parameters = c(39, 45))
names(county_df) <- c("long", "lat", "group", "order", "state_name", "county")
diff --git a/vignettes/intro-to-viridis.Rmd b/vignettes/intro-to-viridis.Rmd
index a0a4821..18803b1 100644
--- a/vignettes/intro-to-viridis.Rmd
+++ b/vignettes/intro-to-viridis.Rmd
@@ -265,13 +265,14 @@ you can use the other scales with the `option` argument in the `ggplot` scales.
Here the "magma" scale is used for a cloropleth map of U.S. unemployment:
```{r, ggplot2}
-unemp <- read.csv("http://datasets.flowingdata.com/unemployment09.csv",
- header = FALSE, stringsAsFactors = FALSE)
-names(unemp) <- c("id", "state_fips", "county_fips", "name", "year",
- "?", "?", "?", "rate")
-unemp$county <- tolower(gsub(" County, [A-Z]{2}", "", unemp$name))
-unemp$county <- gsub("^(.*) parish, ..$","\\1", unemp$county)
-unemp$state <- gsub("^.*([A-Z]{2}).*$", "\\1", unemp$name)
+# unemp <- read.csv("http://datasets.flowingdata.com/unemployment09.csv",
+# header = FALSE, stringsAsFactors = FALSE)
+# names(unemp) <- c("id", "state_fips", "county_fips", "name", "year",
+# "?", "?", "?", "rate")
+# unemp$county <- tolower(gsub(" County, [A-Z]{2}", "", unemp$name))
+# unemp$county <- gsub("^(.*) parish, ..$","\\1", unemp$county)
+# unemp$state <- gsub("^.*([A-Z]{2}).*$", "\\1", unemp$name)
+data(unemp)
county_df <- map_data("county", projection = "albers", parameters = c(39, 45))
names(county_df) <- c("long", "lat", "group", "order", "state_name", "county")