README.md

In ricoderks/ggCPM: ggplot2 extension for Center for Proteomics and Metabolomics

Introduction

This package was based on a blog post a read on r-bloggers.com see . When I was making this package I also had a look at ggthemes.

I hope that I found now some nice colors and also want to create a nice theme for CPM.

Installation

Install with devtools::install_github("ricoderks/ggCPM").

Use

Colors

There are 5 different palettes:

• mian: blue, green, yellow
• cool: blue, green
• hot: yellow, orange, red
• mixed: blue, green, yellow, orange, red
• grey: light grey, dark greay

Using the CPM colors (discrete values):

ggplot(data = mtcars,
       aes(x = wt,
           y = mpg)) +
geom_point(aes(colour = as.factor(gear))) +
scale_color_cpm(palette = "main")

Using the CPM colors (continuous values):

ggplot(data = mtcars,
       aes(x = wt,
           y = mpg)) +
geom_point(aes(colour = gear)) +
scale_color_cpm(palette = "main",
                discrete = FALSE)

Theme

The CPM theme is based on theme_minimal from ggplot2. For now only the panel background, strip background and strip text are modified.

ggplot(data = mtcars,
       aes(x = wt,
           y = mpg)) +
geom_point(aes(colour = as.factor(gear))) +
scale_color_cpm(palette = "main") +
theme_cpm()

If you need to modify something else in the theme do this after you call theme_cpm()

ggplot(data = mtcars,
       aes(x = wt,
           y = mpg)) +
geom_point(aes(colour = as.factor(gear))) +
scale_color_cpm(palette = "main") +
theme_cpm() +
theme(axis.text.x = element_text(size = 6))

ricoderks/ggCPM documentation built on Feb. 10, 2022, 10:01 a.m.