Cleveland's Dot Plots — ggdotchart (2024)

Source: R/ggdotchart.R

ggdotchart.Rd

Draw a Cleveland dot plot.

ggdotchart( data, x, y, group = NULL, combine = FALSE, color = "black", palette = NULL, shape = 19, size = NULL, dot.size = size, sorting = c("ascending", "descending", "none"), add = c("none", "segment"), add.params = list(), x.text.col = TRUE, rotate = FALSE, title = NULL, xlab = NULL, ylab = NULL, facet.by = NULL, panel.labs = NULL, short.panel.labs = TRUE, select = NULL, remove = NULL, order = NULL, label = NULL, font.label = list(size = 11, color = "black"), label.select = NULL, repel = FALSE, label.rectangle = FALSE, position = "identity", ggtheme = theme_pubr(), ...)theme_cleveland(rotate = TRUE)

Arguments

data

a data frame

x, y

x and y variables for drawing.

group

an optional column name indicating how the elements of x aregrouped.

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.

color, size

points color and size.

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".

shape

point shape. See show_point_shapes.

dot.size

numeric value specifying the dot size.

sorting

a character vector for sorting into ascending or descendingorder. Allowed values are one of "descending", "ascending" and "none". Partialmatch are allowed (e.g. sorting = "desc" or "asc"). Default is"descending".

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").

x.text.col

logical. If TRUE (default), x axis texts are colored bygroups.

rotate

logical value. If TRUE, rotate the graph by setting the plotorientation to horizontal.

title

plot main title.

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.

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.

label

the name of the column containing point labels.

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.

position

Position adjustment, either as a string, or the result of acall to a position adjustment function.

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_pointand 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

# Load datadata("mtcars")df <- mtcarsdf$cyl <- as.factor(df$cyl)df$name <- rownames(df)head(df[, c("wt", "mpg", "cyl")], 3)#> wt mpg cyl#> Mazda RX4 2.620 21.0 6#> Mazda RX4 Wag 2.875 21.0 6#> Datsun 710 2.320 22.8 4# Basic plotggdotchart(df, x = "name", y ="mpg", ggtheme = theme_bw())Cleveland's Dot Plots — ggdotchart (1)# Change colors by group cylggdotchart(df, x = "name", y = "mpg", group = "cyl", color = "cyl", palette = c('#999999','#E69F00','#56B4E9'), rotate = TRUE, sorting = "descending", ggtheme = theme_bw(), y.text.col = TRUE )#> Warning: Vectorized input to `element_text()` is not officially supported.#>  Results may be unexpected or may change in future versions of ggplot2.Cleveland's Dot Plots — ggdotchart (2)# Plot with multiple groups# +++++++++++++++++++++# Create some datadf2 <- 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)#> supp dose len#> 1 VC D0.5 6.8#> 2 VC D1 15.0#> 3 VC D2 33.0#> 4 OJ D0.5 4.2#> 5 OJ D1 10.0#> 6 OJ D2 29.5ggdotchart(df2, x = "dose", y = "len", color = "supp", size = 3, add = "segment", add.params = list(color = "lightgray", size = 1.5), position = position_dodge(0.3), palette = "jco", ggtheme = theme_pubclean())Cleveland's Dot Plots — ggdotchart (3)
Cleveland's Dot Plots — ggdotchart (2024)

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