ggpubr (version 0.1.1)

ggecdf: Empirical cumulative density function

Description

Empirical Cumulative Density Function (ECDF).

Usage

ggecdf(data, x, color = "black", palette = NULL, size = NULL, linetype = "solid", ggtheme = theme_classic2(), ...)

Arguments

data

a data frame

x

variable to be drawn.

color

line and point color.

palette

the color palette to be used for coloring or filling by groups. Allowed values include "grey" for grey color palettes; brewer palettes e.g. "RdBu", "Blues", ...; or custom color palette e.g. c("blue", "red"); and scientific journal palettes from ggsci R package, e.g.: "npg", "aaas", "lancet", "jco", "ucscgb", "uchicago", "simpsons" and "rickandmorty".

size

line and point size.

linetype

line type. See show_line_types.

ggtheme

function, ggplot2 theme name. Default value is theme_pubr(). Allowed values include ggplot2 official themes: theme_gray(), theme_bw(), theme_minimal(), theme_classic(), theme_void(), ....

...

other arguments to be passed to stat_ecdf and ggpar.

Details

The plot can be easily customized using the function ggpar(). Read ?ggpar for changing:

• main title and axis labels: main, xlab, ylab
• axis limits: xlim, ylim (e.g.: ylim = c(0, 30))
• axis scales: xscale, yscale (e.g.: yscale = "log2")
• color palettes: palette = "Dark2" or palette = c("gray", "blue", "red")
• legend title, labels and position: legend = "right"
• plot orientation : orientation = c("vertical", "horizontal", "reverse")

See Also

ggpar

Examples

# Create some data format
set.seed(1234)
wdata = data.frame(
   sex = factor(rep(c("F", "M"), each=200)),
   weight = c(rnorm(200, 55), rnorm(200, 58)))

head(wdata, 4)

# Basic ECDF plot
ggecdf(wdata, x = "weight")

# Change colors and linetype by groups ("sex")
# Use custom palette
ggecdf(wdata, x = "weight",
   color = "sex", linetype = "sex",
   palette = c("#00AFBB", "#E7B800"))