knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%", warning = FALSE )
Seamlessly style and print your vectors across Rmarkdown output types through a single interface.
colortable enables users to style and color the contents of their vectors, data.frames, and tibbles through the object, and function, color_vctr()
.
At this point, the supported output types include:
Currently {colortable} is only available on github, and is very much under development.
remotes::install_github("thebioengineer/colortable") ## install.packages("colortable") ## Not Available on CRAN
{colortable} works by making a special S3 class called a color_vctr
, and custom print/format functions.
It then has 4 arguments; - The vector to be styled - text_color, a vector that is either the color the entire vector to be colored or each element - style, a vector is either the style the enture vector to be styled with or each element - background, a vector that is either the background color the entire vector to be colored or for each element.
Additionally, there is a few helper functions
- set_styling()
uses a boolean argument to apply the styling
- color_scale()
is to be used for setting colors, accepting a pallette
A note, html styling does not apply in a github readme
library(colortable) color_vctr(c(1,2,3,4), text_color = c("blue","green", "yellow",NA), style = c("underline","italic",NA,"bold"), background = c(NA,NA,"blue",NA)) color_vctr(LETTERS, text_color = color_scale(colorRamp(c("red","yellow")))) color_vctr(LETTERS, text_color = color_scale("Blues"))
A common case I have seen for coloring values is from analysis coloring p-values. Normally, when I have seen this the color is hard-coded in an ifelse statement with a paste0. However, this liits the output to a single type.
The benefit of {{colortable}} is that the same code can be used across outputs and even in the console!
library(tidyverse) library(knitr) ## Super Great analysis of mtcars! lm_fit <- lm(mpg ~ ., mtcars) a_lm_fit <- anova(lm_fit) tbl_anova <- a_lm_fit %>% as_tibble()%>% mutate( Coef = rownames(a_lm_fit), `Pr(>F)` = set_styling(`Pr(>F)`, `Pr(>F)` < 0.05, background = "green", style = "underline"), `Pr(>F)` = set_styling(`Pr(>F)`, is.na(`Pr(>F)`), style = "strikethrough", text_color = "silver"), `F value` = set_styling(`F value`, is.na(`F value`), style = "strikethrough", text_color = "silver") ) %>% select(Coef, everything()) kable(tbl_anova, escape = FALSE)
In order to simply generate a color_vctr, use the color_vctr
function.
It can convert any atomic (numeric, integer, complex, character, logical, raw) into a color_vctr where text and background colors, and styles can be set.
To see the available styles and colors, use the valid_*
family of functions: valid_colors()
or valid_style()
.
To check whether the styling is a valid type for the output, set the method to be "latex" for pdf outputs, or "html" for html outputs.
Below is a random sampling of output types to the console:
data.frame( text_color = sample(c(NA, valid_text_color()),10, replace = TRUE), background = sample(c(NA, valid_background()),10, replace = TRUE), style = sample(c(NA, valid_style()),10, replace = TRUE), stringsAsFactors = FALSE ) %>% mutate( background = ifelse(text_color == background, sample(c(NA, valid_background()),10, replace = TRUE), background) ) %>% mutate( example = color_vctr(runif(10), text_color = text_color, background = background, style = style) )
This idea was inspired by crayon
, and has some elements based on it. I thank all the developers of that project!
Since then, I have been insprired by 'flextable' for word development.
Current styling technologies such as {kableExtra} and {formattable} also inspired the development of this project.
Please note that the 'colortable' project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
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