geom_stat_crossbar: ggplot geoms to make it easy to plot the results of...

In hemoshear/assayr2: Tools for analyzing assay data

Description

* 'geom_stat_crossbar()' - Tailored variant of 'ggplot2::geom_crossbar()' * 'geom_stat_text()' - Tailored variant of 'ggplot2::geom_text()' * 'geom_stat_label()' - Tailored variant of 'ggplot2::geom_label()'

'geom_stat_label' and 'geom_stat_text' automatically float value on the top edge of the plot. 'geom_stat_label' is set to 'alpha = .5' by default. 'geom_stat_crossbar' is set to 'width = .5' by default.

These will inherit 'mapping' from the intial 'ggplot(..., mapping = )' layer, so aesthetic mappings can be specified there, e.g. color by donor.

Usage

geom_stat_crossbar(data, width = 0.5, ...)

geom_stat_text(data, label = label, ...)

geom_stat_label(data, label = label, ...)

Arguments

data	'data.frame', the result from 'make_stats()'
width	'double'
...	arguments passed on to underlying geom. Can not be related to 'mapping'. Can be arguments like 'size', 'position', and 'color'.
label	'name', bare column name to be used in 'aes(label = )'

Examples

library(ggplot2)
data(mtcars)
mtcars$cyl <- as.factor(mtcars$cyl)
m <- lm(log10(mpg) ~ 0 + cyl, data = mtcars)
stats <- make_stats(m)

p <- ggplot(mtcars, aes(cyl, mpg)) +
geom_point() +
geom_stat_crossbar(stats)

p

p + geom_stat_text(stats)

p + geom_stat_label(stats)

hemoshear/assayr2 documentation built on Nov. 8, 2019, 6:13 p.m.