README.md
In david-barnett/hueR: Create Grouped Palettes from Hue values
hueR
hueR lets you create colour palettes based on two variables: variable
a defining the hue, and variable b defining the shades of that hue.
This is intended for grouped categorical data, where values of b
represent subcategories of the values of a.
Installation
You can install the latest development version of hueR with:
devtools::install_github("david-barnett/hueR")
Example
library(hueR)
library(dplyr)
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
library(ggplot2)
# sort countries, within continents, by average population
sortedSummary <- gapminder::gapminder %>%
group_by(continent, country) %>%
summarise(AvPop = mean(pop, na.rm = TRUE), .groups = "keep") %>%
group_by(continent) %>%
arrange(.by_group = TRUE, desc(AvPop))
# create palettes
countryPal7 <- sortedSummary %>%
hueGroupPal(group = "continent", shade = "country", maxShades = 7)
# plot population per year
gapminder::gapminder %>%
ggplot(aes(
x = factor(year), y = pop,
# setting as factor with levels in correct order ensures ordering of bars
fill = factor(country, levels = names(countryPal7))
)) +
geom_col() +
guides(fill = "none") +
# setting manual scale of course sets correct colours
scale_fill_manual(values = countryPal7) +
ggfittext::geom_fit_text(
aes(ymin = 0, ymax = pop, label = country),
position = "stack", colour = "white"
) +
theme_classic() +
coord_cartesian(expand = FALSE)
# plot population per year as share of world total that year
gapminder::gapminder %>%
group_by(year) %>%
mutate(popPerc = pop/sum(pop, na.rm = TRUE)) %>%
ggplot(aes(
x = factor(year), y = popPerc,
# setting as factor with levels in correct order ensures ordering of bars
fill = factor(country, levels = names(countryPal7))
)) +
geom_col() +
guides(fill = "none") +
# setting manual scale of course sets correct colours
scale_fill_manual(values = countryPal7) +
ggfittext::geom_fit_text(
aes(ymin = 0, ymax = popPerc, label = country),
position = "stack", colour = "white"
) +
theme_classic() +
coord_cartesian(expand = FALSE)
# plot with modified palette
countryPal7alt <- sortedSummary %>%
hueGroupPal(group = "continent", shade = "country", maxShades = 7,
hues = hueSet(start = 0))
gapminder::gapminder %>%
group_by(year) %>%
mutate(popPerc = pop/sum(pop, na.rm = TRUE)) %>%
ggplot(aes(
x = factor(year), y = popPerc,
# setting as factor with levels in correct order ensures ordering of bars
fill = factor(country, levels = names(countryPal7alt))
)) +
geom_col() +
guides(fill = "none") +
# setting manual scale of course sets correct colours
scale_fill_manual(values = countryPal7alt) +
ggfittext::geom_fit_text(grow = TRUE,
aes(ymin = 0, ymax = popPerc, label = country),
position = "stack", colour = "white"
) +
theme_classic() +
coord_cartesian(expand = FALSE)
Session info
devtools::session_info()
#> - Session info ---------------------------------------------------------------
#> setting value
#> version R version 4.1.1 (2021-08-10)
#> os Windows 10 x64
#> system x86_64, mingw32
#> ui RTerm
#> language (EN)
#> collate English_United States.1252
#> ctype English_United States.1252
#> tz Europe/Berlin
#> date 2021-09-27
#>
#> - Packages -------------------------------------------------------------------
#> package * version date lib source
#> assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.0.0)
#> cachem 1.0.6 2021-08-19 [1] CRAN (R 4.1.1)
#> callr 3.7.0 2021-04-20 [1] CRAN (R 4.1.1)
#> cli 3.0.1 2021-07-17 [1] CRAN (R 4.1.0)
#> colorspace 2.0-2 2021-06-24 [1] CRAN (R 4.0.5)
#> crayon 1.4.1 2021-02-08 [1] CRAN (R 4.0.4)
#> DBI 1.1.1 2021-01-15 [1] CRAN (R 4.0.3)
#> desc 1.3.0 2021-03-05 [1] CRAN (R 4.0.4)
#> devtools 2.4.2 2021-06-07 [1] CRAN (R 4.1.1)
#> digest 0.6.27 2020-10-24 [1] CRAN (R 4.0.3)
#> dplyr * 1.0.7 2021-06-18 [1] CRAN (R 4.0.5)
#> ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.0.5)
#> evaluate 0.14 2019-05-28 [1] CRAN (R 4.0.0)
#> fansi 0.5.0 2021-05-25 [1] CRAN (R 4.0.5)
#> farver 2.1.0 2021-02-28 [1] CRAN (R 4.0.4)
#> fastmap 1.1.0 2021-01-25 [1] CRAN (R 4.0.3)
#> fs 1.5.0 2020-07-31 [1] CRAN (R 4.0.2)
#> gapminder 0.3.0 2017-10-31 [1] CRAN (R 4.0.2)
#> generics 0.1.0 2020-10-31 [1] CRAN (R 4.0.3)
#> ggfittext 0.9.1 2021-01-30 [1] CRAN (R 4.1.1)
#> ggplot2 * 3.3.5 2021-06-25 [1] CRAN (R 4.0.5)
#> glue 1.4.2 2020-08-27 [1] CRAN (R 4.0.2)
#> gtable 0.3.0 2019-03-25 [1] CRAN (R 4.0.0)
#> highr 0.9 2021-04-16 [1] CRAN (R 4.1.1)
#> htmltools 0.5.2 2021-08-25 [1] CRAN (R 4.1.1)
#> hueR * 0.0.0.9000 2021-09-27 [1] local
#> knitr 1.34 2021-09-09 [1] CRAN (R 4.1.1)
#> labeling 0.4.2 2020-10-20 [1] CRAN (R 4.0.3)
#> lifecycle 1.0.1 2021-09-24 [1] CRAN (R 4.1.1)
#> magrittr 2.0.1 2020-11-17 [1] CRAN (R 4.0.3)
#> memoise 2.0.0 2021-01-26 [1] CRAN (R 4.1.1)
#> munsell 0.5.0 2018-06-12 [1] CRAN (R 4.0.0)
#> pillar 1.6.3 2021-09-26 [1] CRAN (R 4.1.1)
#> pkgbuild 1.2.0 2020-12-15 [1] CRAN (R 4.0.3)
#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.0.0)
#> pkgload 1.2.2 2021-09-11 [1] CRAN (R 4.1.1)
#> prettyunits 1.1.1 2020-01-24 [1] CRAN (R 4.0.0)
#> processx 3.5.2 2021-04-30 [1] CRAN (R 4.1.1)
#> ps 1.6.0 2021-02-28 [1] CRAN (R 4.0.4)
#> purrr 0.3.4 2020-04-17 [1] CRAN (R 4.0.0)
#> R6 2.5.1 2021-08-19 [1] CRAN (R 4.0.5)
#> remotes 2.4.0 2021-06-02 [1] CRAN (R 4.1.1)
#> rlang 0.4.11 2021-04-30 [1] CRAN (R 4.0.5)
#> rmarkdown 2.11 2021-09-14 [1] CRAN (R 4.1.1)
#> rprojroot 2.0.2 2020-11-15 [1] CRAN (R 4.0.3)
#> rstudioapi 0.13 2020-11-12 [1] CRAN (R 4.0.3)
#> scales 1.1.1 2020-05-11 [1] CRAN (R 4.0.0)
#> sessioninfo 1.1.1 2018-11-05 [1] CRAN (R 4.0.0)
#> stringi 1.7.4 2021-08-25 [1] CRAN (R 4.1.1)
#> stringr 1.4.0 2019-02-10 [1] CRAN (R 4.0.0)
#> testthat 3.0.4 2021-07-01 [1] CRAN (R 4.0.5)
#> tibble 3.1.4 2021-08-25 [1] CRAN (R 4.1.1)
#> tidyselect 1.1.1 2021-04-30 [1] CRAN (R 4.0.5)
#> usethis 2.0.1 2021-02-10 [1] CRAN (R 4.0.4)
#> utf8 1.2.2 2021-07-24 [1] CRAN (R 4.1.1)
#> vctrs 0.3.8 2021-04-29 [1] CRAN (R 4.0.5)
#> withr 2.4.2 2021-04-18 [1] CRAN (R 4.0.5)
#> xfun 0.26 2021-09-14 [1] CRAN (R 4.1.1)
#> yaml 2.2.1 2020-02-01 [1] CRAN (R 4.0.0)
#>
#> [1] C:/Program Files/R/R-4.1.1/library
david-barnett/hueR documentation built on Dec. 19, 2021, 9:03 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
hueR
hueR lets you create colour palettes based on two variables: variable
a defining the hue, and variable b defining the shades of that hue.
This is intended for grouped categorical data, where values of b
represent subcategories of the values of a.
Installation
You can install the latest development version of hueR with:
devtools::install_github("david-barnett/hueR")
Example
library(hueR)
library(dplyr)
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
library(ggplot2)
# sort countries, within continents, by average population
sortedSummary <- gapminder::gapminder %>%
group_by(continent, country) %>%
summarise(AvPop = mean(pop, na.rm = TRUE), .groups = "keep") %>%
group_by(continent) %>%
arrange(.by_group = TRUE, desc(AvPop))
# create palettes
countryPal7 <- sortedSummary %>%
hueGroupPal(group = "continent", shade = "country", maxShades = 7)
# plot population per year
gapminder::gapminder %>%
ggplot(aes(
x = factor(year), y = pop,
# setting as factor with levels in correct order ensures ordering of bars
fill = factor(country, levels = names(countryPal7))
)) +
geom_col() +
guides(fill = "none") +
# setting manual scale of course sets correct colours
scale_fill_manual(values = countryPal7) +
ggfittext::geom_fit_text(
aes(ymin = 0, ymax = pop, label = country),
position = "stack", colour = "white"
) +
theme_classic() +
coord_cartesian(expand = FALSE)
# plot population per year as share of world total that year
gapminder::gapminder %>%
group_by(year) %>%
mutate(popPerc = pop/sum(pop, na.rm = TRUE)) %>%
ggplot(aes(
x = factor(year), y = popPerc,
# setting as factor with levels in correct order ensures ordering of bars
fill = factor(country, levels = names(countryPal7))
)) +
geom_col() +
guides(fill = "none") +
# setting manual scale of course sets correct colours
scale_fill_manual(values = countryPal7) +
ggfittext::geom_fit_text(
aes(ymin = 0, ymax = popPerc, label = country),
position = "stack", colour = "white"
) +
theme_classic() +
coord_cartesian(expand = FALSE)
# plot with modified palette
countryPal7alt <- sortedSummary %>%
hueGroupPal(group = "continent", shade = "country", maxShades = 7,
hues = hueSet(start = 0))
gapminder::gapminder %>%
group_by(year) %>%
mutate(popPerc = pop/sum(pop, na.rm = TRUE)) %>%
ggplot(aes(
x = factor(year), y = popPerc,
# setting as factor with levels in correct order ensures ordering of bars
fill = factor(country, levels = names(countryPal7alt))
)) +
geom_col() +
guides(fill = "none") +
# setting manual scale of course sets correct colours
scale_fill_manual(values = countryPal7alt) +
ggfittext::geom_fit_text(grow = TRUE,
aes(ymin = 0, ymax = popPerc, label = country),
position = "stack", colour = "white"
) +
theme_classic() +
coord_cartesian(expand = FALSE)
Session info
devtools::session_info()
#> - Session info ---------------------------------------------------------------
#> setting value
#> version R version 4.1.1 (2021-08-10)
#> os Windows 10 x64
#> system x86_64, mingw32
#> ui RTerm
#> language (EN)
#> collate English_United States.1252
#> ctype English_United States.1252
#> tz Europe/Berlin
#> date 2021-09-27
#>
#> - Packages -------------------------------------------------------------------
#> package * version date lib source
#> assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.0.0)
#> cachem 1.0.6 2021-08-19 [1] CRAN (R 4.1.1)
#> callr 3.7.0 2021-04-20 [1] CRAN (R 4.1.1)
#> cli 3.0.1 2021-07-17 [1] CRAN (R 4.1.0)
#> colorspace 2.0-2 2021-06-24 [1] CRAN (R 4.0.5)
#> crayon 1.4.1 2021-02-08 [1] CRAN (R 4.0.4)
#> DBI 1.1.1 2021-01-15 [1] CRAN (R 4.0.3)
#> desc 1.3.0 2021-03-05 [1] CRAN (R 4.0.4)
#> devtools 2.4.2 2021-06-07 [1] CRAN (R 4.1.1)
#> digest 0.6.27 2020-10-24 [1] CRAN (R 4.0.3)
#> dplyr * 1.0.7 2021-06-18 [1] CRAN (R 4.0.5)
#> ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.0.5)
#> evaluate 0.14 2019-05-28 [1] CRAN (R 4.0.0)
#> fansi 0.5.0 2021-05-25 [1] CRAN (R 4.0.5)
#> farver 2.1.0 2021-02-28 [1] CRAN (R 4.0.4)
#> fastmap 1.1.0 2021-01-25 [1] CRAN (R 4.0.3)
#> fs 1.5.0 2020-07-31 [1] CRAN (R 4.0.2)
#> gapminder 0.3.0 2017-10-31 [1] CRAN (R 4.0.2)
#> generics 0.1.0 2020-10-31 [1] CRAN (R 4.0.3)
#> ggfittext 0.9.1 2021-01-30 [1] CRAN (R 4.1.1)
#> ggplot2 * 3.3.5 2021-06-25 [1] CRAN (R 4.0.5)
#> glue 1.4.2 2020-08-27 [1] CRAN (R 4.0.2)
#> gtable 0.3.0 2019-03-25 [1] CRAN (R 4.0.0)
#> highr 0.9 2021-04-16 [1] CRAN (R 4.1.1)
#> htmltools 0.5.2 2021-08-25 [1] CRAN (R 4.1.1)
#> hueR * 0.0.0.9000 2021-09-27 [1] local
#> knitr 1.34 2021-09-09 [1] CRAN (R 4.1.1)
#> labeling 0.4.2 2020-10-20 [1] CRAN (R 4.0.3)
#> lifecycle 1.0.1 2021-09-24 [1] CRAN (R 4.1.1)
#> magrittr 2.0.1 2020-11-17 [1] CRAN (R 4.0.3)
#> memoise 2.0.0 2021-01-26 [1] CRAN (R 4.1.1)
#> munsell 0.5.0 2018-06-12 [1] CRAN (R 4.0.0)
#> pillar 1.6.3 2021-09-26 [1] CRAN (R 4.1.1)
#> pkgbuild 1.2.0 2020-12-15 [1] CRAN (R 4.0.3)
#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.0.0)
#> pkgload 1.2.2 2021-09-11 [1] CRAN (R 4.1.1)
#> prettyunits 1.1.1 2020-01-24 [1] CRAN (R 4.0.0)
#> processx 3.5.2 2021-04-30 [1] CRAN (R 4.1.1)
#> ps 1.6.0 2021-02-28 [1] CRAN (R 4.0.4)
#> purrr 0.3.4 2020-04-17 [1] CRAN (R 4.0.0)
#> R6 2.5.1 2021-08-19 [1] CRAN (R 4.0.5)
#> remotes 2.4.0 2021-06-02 [1] CRAN (R 4.1.1)
#> rlang 0.4.11 2021-04-30 [1] CRAN (R 4.0.5)
#> rmarkdown 2.11 2021-09-14 [1] CRAN (R 4.1.1)
#> rprojroot 2.0.2 2020-11-15 [1] CRAN (R 4.0.3)
#> rstudioapi 0.13 2020-11-12 [1] CRAN (R 4.0.3)
#> scales 1.1.1 2020-05-11 [1] CRAN (R 4.0.0)
#> sessioninfo 1.1.1 2018-11-05 [1] CRAN (R 4.0.0)
#> stringi 1.7.4 2021-08-25 [1] CRAN (R 4.1.1)
#> stringr 1.4.0 2019-02-10 [1] CRAN (R 4.0.0)
#> testthat 3.0.4 2021-07-01 [1] CRAN (R 4.0.5)
#> tibble 3.1.4 2021-08-25 [1] CRAN (R 4.1.1)
#> tidyselect 1.1.1 2021-04-30 [1] CRAN (R 4.0.5)
#> usethis 2.0.1 2021-02-10 [1] CRAN (R 4.0.4)
#> utf8 1.2.2 2021-07-24 [1] CRAN (R 4.1.1)
#> vctrs 0.3.8 2021-04-29 [1] CRAN (R 4.0.5)
#> withr 2.4.2 2021-04-18 [1] CRAN (R 4.0.5)
#> xfun 0.26 2021-09-14 [1] CRAN (R 4.1.1)
#> yaml 2.2.1 2020-02-01 [1] CRAN (R 4.0.0)
#>
#> [1] C:/Program Files/R/R-4.1.1/library
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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