| Title: | Themes for Base Graphics Plots |
|---|---|
| Description: | Functions to create and select graphical themes for the base plotting system. Contains: 1) several custom pre-made themes 2) mechanism for creating new themes by making persistent changes to the graphical parameters of base plots. |
| Authors: | Karolis Koncevičius [aut, cre] |
| Maintainer: | Karolis Koncevičius <[email protected]> |
| License: | GPL-2 |
| Version: | 0.1.3 |
| Built: | 2024-12-26 05:12:16 UTC |
| Source: | https://github.com/karoliskoncevicius/basetheme |
Sets and returns base plotting theme parameters.
basetheme(...)basetheme(...)
... |
- a sequence of |
Function dispatches based on the type of first argument:
1. No arguments - returns the list of the current theme settings.
2. NULL - all theme settings are removed.
3. list - assumed that list stores theme settings.
4. character - a theme with that name is used.
5. parameter=value pair - sets the setting for the specified parameter.
Further arguments can be provided as parameter=value pairs.
See examples.
The list of theme parameters is always returned invisibly, except when function is called with no arguments.
The parameters set by this function will take presedence over par() parameters.
a list of all theme settings (invisibly, unless no arguments were provided).
Karolis Koncevičius
# Set theme by parameters basetheme(pch=19, las=1, cex=2) plot(1, 1) # Obtain list of theme parameters # for the current theme basetheme() # for a specific theme theme <- basetheme("brutal") theme # Set theme by name basetheme("dark") plot(1) # Set theme by list theme <- basetheme("clean") theme$rect.col <- "grey90" basetheme(theme) pairs(iris[,1:4], col=iris$Species) # Reset theme basetheme(NULL)# Set theme by parameters basetheme(pch=19, las=1, cex=2) plot(1, 1) # Obtain list of theme parameters # for the current theme basetheme() # for a specific theme theme <- basetheme("brutal") theme # Set theme by name basetheme("dark") plot(1) # Set theme by list theme <- basetheme("clean") theme$rect.col <- "grey90" basetheme(theme) pairs(iris[,1:4], col=iris$Species) # Reset theme basetheme(NULL)
Adds a selected amount of shade or tint to a vector of colors.
colshade(cols, frac = 0)colshade(cols, frac = 0)
cols |
a vector of colors |
frac |
a vector of shade fractions (between -1 and 1, defaults to 0) |
This function adds shades and tints to provided list of colors.
Shade or tint is decided depending on the sign of the frac argument:
positive values make colors darker and negative values lighten them.
a vector of colors with added shades or tints.
Karolis Koncevičius
Assigns colors to the provided vector of labels.
lab2col(x, pal, ref = x, NAcol)lab2col(x, pal, ref = x, NAcol)
x |
vector of labels (always transformed to character) |
pal |
colors used to build the palette (defaults to colors set by theme) |
ref |
reference for assigning colors (defaults to elements of |
NAcol |
color to be used for NA values (defaults to color set by theme) |
This function assigns colors to each unique level of label vector x.
Mainly used for consistently assigning colors to a unique set of labels,
especially when the order of original labels might change (see examples).
Color of NA values and values outside of specified reference can be set using
NAcol argument. Set this to NA to omit the display of such values.
ref parameter can be specified to select the order of color assignment:
first element from ref will be assigned the first color from pal,
second element - second color, and so on.
The list of provided colors is expanded by first adding shades and then adding tints. However if the number of groups exceeds the number of provided colors by more than 3 times the colors will be repeated.
When x is not specified - a function that generates colors based on
pal and ref is returned.
a vector of colors for each element in x or, when x is missing, a function.
Karolis Koncevičius
num2col
# iris example pairs(iris[,1:4], col=lab2col(iris$Species)) # iris example with one group missing from reference pairs(iris[,1:4], col=lab2col(iris$Species, ref=c("setosa", "versicolor"))) # example of using a coloring function # "color" function below will consistently assign colors to values in "ref". color <- lab2col(ref=unique(chickwts$feed)) par(mfrow=c(1,2)) means <- tapply(chickwts$weight, chickwts$feed, mean) barplot(means, col=color(names(means)), las=2) means <- sample(means) barplot(means, col=color(names(means)), las=2)# iris example pairs(iris[,1:4], col=lab2col(iris$Species)) # iris example with one group missing from reference pairs(iris[,1:4], col=lab2col(iris$Species, ref=c("setosa", "versicolor"))) # example of using a coloring function # "color" function below will consistently assign colors to values in "ref". color <- lab2col(ref=unique(chickwts$feed)) par(mfrow=c(1,2)) means <- tapply(chickwts$weight, chickwts$feed, mean) barplot(means, col=color(names(means)), las=2) means <- sample(means) barplot(means, col=color(names(means)), las=2)
Assigns colors to the provided vector of numbers.
num2col(x, pal, ref = range(x, na.rm = TRUE), NAcol)num2col(x, pal, ref = range(x, na.rm = TRUE), NAcol)
x |
numeric vector (factors are transformed to numeric) |
pal |
colors used to build the palette (defaults to colors set by theme) |
ref |
reference for assigning colors (defaults to the range of |
NAcol |
color to be used for NA values (defaults to color set by theme) |
This function interpolates a given set of colors to a numeric vector.
Main use case is in turning numbers into colors for plots,
especially when different ranges of x have to be colored differently.
Color of NA values and values outside of ref range can be set using NAcol argument.
Set this to NA to omit the display of such values.
In case only a single color is provided - it is expanded by using tints and shades.
When x is not specified - a function that generates colors based on
pal and ref is returned.
a vector of colors for each element in x or, when x is missing, a function.
Karolis Koncevičius
lab2col
# color numbers by y-axos plot(mtcars$hp, mtcars$mpg, col=num2col(mtcars$mpg), pch=19) # color only a certain range plot(mtcars$hp, mtcars$mpg, col=num2col(mtcars$mpg, ref=c(20, 35)), pch=19) # hide the out of range values plot(mtcars$hp, mtcars$mpg, col=num2col(mtcars$mpg, ref=c(20,35), NAcol=NA)) # iris example pairs(iris[,-5], col=num2col(iris$Sepal.Length)) # same butusing a prepared coloring function (for values in range 0-10) color <- num2col(ref=c(0,10)) pairs(iris[,-5], col=color(iris$Sepal.Length))# color numbers by y-axos plot(mtcars$hp, mtcars$mpg, col=num2col(mtcars$mpg), pch=19) # color only a certain range plot(mtcars$hp, mtcars$mpg, col=num2col(mtcars$mpg, ref=c(20, 35)), pch=19) # hide the out of range values plot(mtcars$hp, mtcars$mpg, col=num2col(mtcars$mpg, ref=c(20,35), NAcol=NA)) # iris example pairs(iris[,-5], col=num2col(iris$Sepal.Length)) # same butusing a prepared coloring function (for values in range 0-10) color <- num2col(ref=c(0,10)) pairs(iris[,-5], col=color(iris$Sepal.Length))