ggbarplot: Bar plot

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

Bar plot

Description

Create a bar plot.

Usage

ggbarplot(
  data,
  x,
  y,
  combine = FALSE,
  merge = FALSE,
  color = "black",
  fill = "white",
  palette = NULL,
  size = NULL,
  width = NULL,
  title = NULL,
  xlab = NULL,
  ylab = NULL,
  facet.by = NULL,
  panel.labs = NULL,
  short.panel.labs = TRUE,
  select = NULL,
  remove = NULL,
  order = NULL,
  add = "none",
  add.params = list(),
  error.plot = "errorbar",
  label = FALSE,
  lab.col = "black",
  lab.size = 4,
  lab.pos = c("out", "in"),
  lab.vjust = NULL,
  lab.hjust = NULL,
  lab.nb.digits = NULL,
  sort.val = c("none", "desc", "asc"),
  sort.by.groups = TRUE,
  top = Inf,
  position = position_stack(),
  ggtheme = theme_pubr(),
  ...
)

Arguments

data	a data frame
x, y	x and y variables for drawing.
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, fill	outline and fill colors.
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	Numeric value (e.g.: size = 1). change the size of points and outlines.
width	numeric value between 0 and 1 specifying box width.
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.
select	character vector specifying which items to display.
remove	character vector specifying which items to remove from the plot.
order	character vector specifying the order of items.
add	character vector for adding another plot element (e.g.: dot plot or error bars). Allowed values are one or the combination of: "none", "dotplot", "jitter", "boxplot", "point", "mean", "mean_se", "mean_sd", "mean_ci", "mean_range", "median", "median_iqr", "median_hilow", "median_q1q3", "median_mad", "median_range"; see ?desc_statby for more details.
add.params	parameters (color, shape, size, fill, linetype) for the argument 'add'; e.g.: add.params = list(color = "red").
error.plot	plot type used to visualize error. Allowed values are one of c("pointrange", "linerange", "crossbar", "errorbar", "upper_errorbar", "lower_errorbar", "upper_pointrange", "lower_pointrange", "upper_linerange", "lower_linerange"). Default value is "pointrange" or "errorbar". Used only when add != "none" and add contains one "mean_*" or "med_*" where "*" = sd, se, ....
label	specify whether to add labels on the bar plot. Allowed values are: logical value: If TRUE, y values is added as labels on the bar plot character vector: Used as text labels; must be the same length as y.
lab.col, lab.size	text color and size for labels.
lab.pos	character specifying the position for labels. Allowed values are "out" (for outside) or "in" (for inside). Ignored when lab.vjust != NULL.
lab.vjust	numeric, vertical justification of labels. Provide negative value (e.g.: -0.4) to put labels outside the bars or positive value to put labels inside (e.g.: 2).
lab.hjust	numeric, horizontal justification of labels.
lab.nb.digits	integer indicating the number of decimal places (round) to be used.
sort.val	a string specifying whether the value should be sorted. Allowed values are "none" (no sorting), "asc" (for ascending) or "desc" (for descending).
sort.by.groups	logical value. If TRUE the data are sorted by groups. Used only when sort.val != "none".
top	a numeric value specifying the number of top elements to be shown.
position	Position adjustment, either as a string naming the adjustment (e.g. "jitter" to use position_jitter), or the result of a call to a position adjustment function. Use the latter if you need to change the settings of the adjustment.
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 be passed to 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, ggline

Examples

# Data
df <- data.frame(dose=c("D0.5", "D1", "D2"),
   len=c(4.2, 10, 29.5))
print(df)

# Basic plot with label outsite
# +++++++++++++++++++++++++++
ggbarplot(df, x = "dose", y = "len",
  label = TRUE, label.pos = "out")

# Change width
ggbarplot(df, x = "dose", y = "len", width = 0.5)

# Change the plot orientation: horizontal
ggbarplot(df, "dose", "len", orientation = "horiz")

# Change the default order of items
ggbarplot(df, "dose", "len",
   order = c("D2", "D1", "D0.5"))


# Change colors
# +++++++++++++++++++++++++++

# Change fill and outline color
# add labels inside bars
ggbarplot(df, "dose", "len",
 fill = "steelblue", color = "steelblue",
 label = TRUE, lab.pos = "in", lab.col = "white")

# Change colors by groups: dose
# Use custom color palette
 ggbarplot(df, "dose", "len", color = "dose",
   palette = c("#00AFBB", "#E7B800", "#FC4E07"))

# Change fill and outline colors by groups
 ggbarplot(df, "dose", "len",
   fill = "dose", color = "dose",
   palette = c("#00AFBB", "#E7B800", "#FC4E07"))


# Plot with multiple groups
# +++++++++++++++++++++

# Create some data
df2 <- data.frame(supp=rep(c("VC", "OJ"), each=3),
   dose=rep(c("D0.5", "D1", "D2"),2),
   len=c(6.8, 15, 33, 4.2, 10, 29.5))
print(df2)

# Plot "len" by "dose" and change color by a second group: "supp"
# Add labels inside bars
ggbarplot(df2, "dose", "len",
  fill = "supp", color = "supp", palette = "Paired",
  label = TRUE, lab.col = "white", lab.pos = "in")

# Change position: Interleaved (dodged) bar plot
ggbarplot(df2, "dose", "len",
  fill = "supp", color = "supp", palette = "Paired",
  label = TRUE,
  position = position_dodge(0.9))

# Add points and errors
# ++++++++++++++++++++++++++

# Data: ToothGrowth data set we'll be used.
df3 <- ToothGrowth
head(df3, 10)

# It can be seen that for each group we have
# different values
ggbarplot(df3, x = "dose", y = "len")

# Visualize the mean of each group
ggbarplot(df3, x = "dose", y = "len",
 add = "mean")

# Add error bars: mean_se
# (other values include: mean_sd, mean_ci, median_iqr, ....)
# Add labels
ggbarplot(df3, x = "dose", y = "len",
 add = "mean_se", label = TRUE, lab.vjust = -1.6)

# Use only "upper_errorbar"
ggbarplot(df3, x = "dose", y = "len",
 add = "mean_se", error.plot = "upper_errorbar")

# Change error.plot to "pointrange"
ggbarplot(df3, x = "dose", y = "len",
 add = "mean_se", error.plot = "pointrange")

# Add jitter points and errors (mean_se)
ggbarplot(df3, x = "dose", y = "len",
 add = c("mean_se", "jitter"))

# Add dot and errors (mean_se)
ggbarplot(df3, x = "dose", y = "len",
 add = c("mean_se", "dotplot"))

# Multiple groups with error bars and jitter point
ggbarplot(df3, x = "dose", y = "len", color = "supp",
 add = "mean_se", palette = c("#00AFBB", "#E7B800"),
 position = position_dodge())

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