ggstripchart: Stripcharts

Description Usage Arguments Details See Also Examples

View source: R/ggstripchart.R

Description

Create a stripchart, also known as one dimensional scatter plots. These plots are suitable compared to box plots when sample sizes are small.

Usage

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ggstripchart(
  data,
  x,
  y,
  combine = FALSE,
  merge = FALSE,
  color = "black",
  fill = "white",
  palette = NULL,
  title = NULL,
  xlab = NULL,
  ylab = NULL,
  facet.by = NULL,
  panel.labs = NULL,
  short.panel.labs = TRUE,
  shape = 19,
  size = NULL,
  select = NULL,
  remove = NULL,
  order = NULL,
  add = "mean_se",
  add.params = list(),
  error.plot = "pointrange",
  label = NULL,
  font.label = list(size = 11, color = "black"),
  label.select = NULL,
  repel = FALSE,
  label.rectangle = FALSE,
  jitter = 0.2,
  position = position_jitter(jitter),
  ggtheme = theme_pubr(),
  ...
)

Arguments

data

a data frame

x

character string containing the name of x variable.

y

character vector containing one or more variables to plot

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

outline color.

fill

fill 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".

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.

shape

point shape

size

Numeric value (e.g.: size = 1). change the size of points and outlines.

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

the name of the column containing point labels. Can be also a character vector with length = nrow(data).

font.label

a list which can contain the combination of the following elements: the size (e.g.: 14), the style (e.g.: "plain", "bold", "italic", "bold.italic") and the color (e.g.: "red") of labels. For example font.label = list(size = 14, face = "bold", color ="red"). To specify only the size and the style, use font.label = list(size = 14, face = "plain").

label.select

can be of two formats:

  • a character vector specifying some labels to show.

  • a list containing one or the combination of the following components:

    • top.up and top.down: to display the labels of the top up/down points. For example, label.select = list(top.up = 10, top.down = 4).

    • criteria: to filter, for example, by x and y variabes values, use this: label.select = list(criteria = "`y` > 2 & `y` < 5 & `x` %in% c('A', 'B')").

repel

a logical value, whether to use ggrepel to avoid overplotting text labels or not.

label.rectangle

logical value. If TRUE, add rectangle underneath the text, making it easier to read.

jitter

the amount of jitter.

position

position adjustment, either as a string, or the result of a call to a position adjustment function. Used to adjust position for multiple groups.

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 geom_jitter, ggpar and facet.

Details

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

See Also

ggpar, ggviolin, ggdotplot and ggboxplot.

Examples

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# Load data
data("ToothGrowth")
df <- ToothGrowth

# Basic plot with summary statistics: mean_se
# +++++++++++++++++++++++++++
# Change point shapes by groups: "dose"
ggstripchart(df, x = "dose", y = "len",
   shape = "dose", size = 3,
   add = "mean_se")

# Use mean_sd
# Change error.plot to "crossbar"
ggstripchart(df, x = "dose", y = "len",
   shape = "dose", size = 3,
   add = "mean_sd", add.params = list(width = 0.5),
   error.plot = "crossbar")



# Add summary statistics
# ++++++++++++++++++++++++++

# Add box plot
ggstripchart(df, x = "dose", y = "len",
 shape = "dose", add = "boxplot")

# Add violin + mean_sd
ggstripchart(df, x = "dose", y = "len",
 shape = "dose", add = c("violin", "mean_sd"))


# Change colors
# +++++++++++++++++++++++++++
# Change colors by groups: dose
# Use custom color palette
 ggstripchart(df, "dose", "len",  shape = "dose",
   color = "dose", palette = c("#00AFBB", "#E7B800", "#FC4E07"),
   add = "mean_sd")



# Plot with multiple groups
# +++++++++++++++++++++
# Change shape and color by a second group : "supp"
ggstripchart(df, "dose", "len", shape = "supp",
  color = "supp", palette = c("#00AFBB", "#E7B800"))

# Adjust point position
ggstripchart(df, "dose", "len", shape = "supp",
  color = "supp", palette = c("#00AFBB", "#E7B800"),
  position = position_dodge(0.8) )

# You can also use position_jitterdodge()
# but fill aesthetic is required
ggstripchart(df, "dose", "len",  shape = "supp",
   color = "supp", palette = c("#00AFBB", "#E7B800"),
   position = position_jitterdodge() )

# Add boxplot
ggstripchart(df, "dose", "len", shape = "supp",
 color = "supp", palette = c("#00AFBB", "#E7B800"),
 add = "boxplot", add.params = list(color = "black") )

ggpubr documentation built on July 2, 2020, 2:12 a.m.