ggecdf: Empirical cumulative density function

In kassambara/ggpubr: 'ggplot2' Based Publication Ready Plots

Empirical cumulative density function

Description

Empirical Cumulative Density Function (ECDF).

Usage

ggecdf(
  data,
  x,
  combine = FALSE,
  merge = FALSE,
  color = "black",
  palette = NULL,
  size = NULL,
  linetype = "solid",
  title = NULL,
  xlab = NULL,
  ylab = NULL,
  facet.by = NULL,
  panel.labs = NULL,
  short.panel.labs = TRUE,
  ggtheme = theme_pubr(),
  ...
)

Arguments

data	a data frame
x	variable to be drawn.
combine	logical value. Default is FALSE. Used only when y is a vector containing multiple variables to plot. If TRUE, create a multi-panel plot by combining the plot of y variables.
merge	logical or character value. Default is FALSE. Used only when y is a vector containing multiple variables to plot. If TRUE, merge multiple y variables in the same plotting area. Allowed values include also "asis" (TRUE) and "flip". If merge = "flip", then y variables are used as x tick labels and the x variable is used as grouping variable.
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.
title	plot main title.
xlab	character vector specifying x axis labels. Use xlab = FALSE to hide xlab.
ylab	character vector specifying y axis labels. Use ylab = FALSE to hide ylab.
facet.by	character vector, of length 1 or 2, specifying grouping variables for faceting the plot into multiple panels. Should be in the data.
panel.labs	a list of one or two character vectors to modify facet panel labels. For example, panel.labs = list(sex = c("Male", "Female")) specifies the labels for the "sex" variable. For two grouping variables, you can use for example panel.labs = list(sex = c("Male", "Female"), rx = c("Obs", "Lev", "Lev2") ).
short.panel.labs	logical value. Default is TRUE. If TRUE, create short labels for panels by omitting variable names; in other words panels will be labelled only by variable grouping levels.
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"))

kassambara/ggpubr documentation built on Feb. 15, 2023, 4:09 a.m.