ggstripchart function - RDocumentation (2024)

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 vectorcontaining multiple variables to plot. If TRUE, create a multi-panel plot bycombining the plot of y variables.

merge

logical or character value. Default is FALSE. Used only when y isa vector containing multiple variables to plot. If TRUE, merge multiple yvariables in the same plotting area. Allowed values include also "asis"(TRUE) and "flip". If merge = "flip", then y variables are used as x ticklabels 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"); andscientific journal palettes from ggsci R package, e.g.: "npg", "aaas","lancet", "jco", "ucscgb", "uchicago", "simpsons" and "rickandmorty".

title

plot main title.

See Also

Analyzing shape and center of one quantitative variableggplot2 - Essentials - Easy Guides - Wiki

xlab

character vector specifying x axis labels. Use xlab = FALSE tohide xlab.

ylab

character vector specifying y axis labels. Use ylab = FALSE tohide ylab.

facet.by

character vector, of length 1 or 2, specifying groupingvariables 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 panellabels. For example, panel.labs = list(sex = c("Male", "Female")) specifiesthe labels for the "sex" variable. For two grouping variables, you can usefor example panel.labs = list(sex = c("Male", "Female"), rx = c("Obs","Lev", "Lev2") ).

short.panel.labs

logical value. Default is TRUE. If TRUE, create shortlabels for panels by omitting variable names; in other words panels will belabelled only by variable grouping levels.

shape

point shape

size

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

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 orerror 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 moredetails.

add.params

parameters (color, shape, size, fill, linetype) for theargument 'add'; e.g.: add.params = list(color = "red").

error.plot

plot type used to visualize error. Allowed values are one ofc("pointrange", "linerange", "crossbar", "errorbar", "upper_errorbar","lower_errorbar", "upper_pointrange", "lower_pointrange", "upper_linerange","lower_linerange"). Default value is "pointrange" or "errorbar". Used onlywhen add != "none" and add contains one "mean_*" or "med_*" where "*" = sd,se, ....

label

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

font.label

a list which can contain the combination of the followingelements: 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 andthe style, use font.label = list(size = 14, face = "plain").

label.select

can be of two formats:

• a character vectorspecifying some labels to show.

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

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

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

repel

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

label.rectangle

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

jitter

the amount of jitter.

position

position adjustment, either as a string, or the result of acall to a position adjustment function. Used to adjust position formultiple 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 togeom_jitter, ggpar andfacet.

Examples

Run this code

# Load datadata("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 plotggstripchart(df, x = "dose", y = "len", shape = "dose", add = "boxplot")# Add violin + mean_sdggstripchart(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 positionggstripchart(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 requiredggstripchart(df, "dose", "len", shape = "supp", color = "supp", palette = c("#00AFBB", "#E7B800"), position = position_jitterdodge() )# Add boxplotggstripchart(df, "dose", "len", shape = "supp", color = "supp", palette = c("#00AFBB", "#E7B800"), add = "boxplot", add.params = list(color = "black") )

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