The ggthemr package is built for “fire-and-forget” usage: you set the theme at the start of your R session, and all of your plots will look different from there. The package is available on github, and is installed using the Devtools package:ĭevtools :: install_github( 'cttobin/ggthemr' ) The ggthemr R package is an R package to set up a new theme for your ggplot figures, and completely change the look and feel of your figures, from colours to gridlines. Note that the colour palette for your figures is not affected by these theme changes – only the figure parameters such as the grid lines, outlines, and backgrounds etc. theme_void() – empty theme with no elementsĮxamples of these theme’s applied to the figure is shown below.theme_classic() – theme with no grid lines.theme_minimal() – no background annotations, minimal feel.theme_dark() – lines on a dark background instead of light.theme_light() – similar to linedraw() but with grey lines aswell.theme_linedraw() – uses black lines on white backgrounds only.theme_bw() – dark on light ggplot2 theme.The default look and feel can be adjusted by adding an in-build theme from ggplot2. Labs(x="Species", y="Sepal Width (cm)", fill="Species", title="Iris Dataset") Labs(x="Species", y="Mean Sepal Width (cm)", fill="Species", title="Iris Dataset")īox_plot <- ggplot(iris, aes(x=Species, y=Sepal.Width, fill=Species)) + Labs(x="Sepal Width (cm)", y="Sepal Length (cm)", col="Species", title="Iris Dataset")īar_plot <- ggplot(iris, aes(x=Species, y=Sepal.Width, fill=Species)) + Point_plot <- ggplot(iris, aes(x=jitter(Sepal.Width), y=jitter(Sepal.Length), col=Species)) + # Define a set of figures to play with using the Iris dataset
First create a simple figure, based on the massively overused “iris” dataset, since it’s built-in to R. Quickly change the default look of your figures by adding theme_XX() to the end of your plotting commands. There’s 8 built-in theme variations in the latest versions of ggplot2.
0 kommentar(er)
