stat_median_iqr_text | R Documentation |
For a strip plot or scatterplot produced using the package ggplot2
(e.g., with geom_point
),
for each value on the x
-axis, add text indicating the median and
interquartile range (IQR) of the y
-values for that particular x
-value.
stat_median_iqr_text(mapping = NULL, data = NULL,
geom = ifelse(text.box, "label", "text"),
position = "identity", na.rm = FALSE, show.legend = NA,
inherit.aes = TRUE, y.pos = NULL, y.expand.factor = 0.2,
digits = 1, digit.type = "round",
nsmall = ifelse(digit.type == "round", digits, 0), text.box = FALSE,
alpha = 1, angle = 0, color = "black", family = "", fontface = "plain",
hjust = 0.5, label.padding = ggplot2::unit(0.25, "lines"),
label.r = ggplot2::unit(0.15, "lines"), label.size = 0.25,
lineheight = 1.2, size = 4, vjust = 0.5, ...)
mapping , data , position , na.rm , show.legend , inherit.aes |
See the help file for |
geom |
Character string indicating which |
y.pos |
Numeric scalar indicating the |
y.expand.factor |
For the case when |
digits |
Integer indicating the number of digits to use for displaying the
median and interquartile range. When |
digit.type |
Character string indicating whether the |
nsmall |
Integer passed to the function |
text.box |
Logical scalar indicating whether to surround the text with a text box (i.e.,
whether to use |
alpha , angle , color , family , fontface , hjust , vjust , lineheight , size |
See the help file for |
label.padding , label.r , label.size |
See the help file for |
... |
Other arguments passed on to |
See the help file for geom_text
for details about how
geom_text
and geom_label
work.
See the vignette Extending ggplot2 at https://cran.r-project.org/package=ggplot2/vignettes/extending-ggplot2.html for information on how to create a new stat.
The function stat_median_iqr_text
is called by the function geom_stripchart
.
Steven P. Millard (EnvStats@ProbStatInfo.com)
Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis (Use R!). Second Edition. Springer.
geom_stripchart
, stat_mean_sd_text
,
stat_n_text
, stat_test_text
,
geom_text
, geom_label
,
median
, iqr
.
# First, load and attach the ggplot2 package.
#--------------------------------------------
library(ggplot2)
#====================
# Example 1:
# Using the built-in data frame mtcars,
# plot miles per gallon vs. number of cylinders
# using different colors for each level of the number of cylinders.
#------------------------------------------------------------------
p <- ggplot(mtcars, aes(x = factor(cyl), y = mpg, color = factor(cyl))) +
theme(legend.position = "none")
p + geom_point() +
labs(x = "Number of Cylinders", y = "Miles per Gallon")
# Now add text indicating the median and interquartile range
# for each level of cylinder.
#-----------------------------------------------------------
dev.new()
p + geom_point() +
stat_median_iqr_text() +
labs(x = "Number of Cylinders", y = "Miles per Gallon")
#====================
# Example 2:
# Repeat Example 1, but:
# 1) facet by transmission type,
# 2) make the size of the text smaller.
#--------------------------------------
dev.new()
p + geom_point() +
stat_median_iqr_text(size = 2.75) +
facet_wrap(~ am, labeller = label_both) +
labs(x = "Number of Cylinders", y = "Miles per Gallon")
#====================
# Example 3:
# Repeat Example 1, but specify the y-position for the text.
#-----------------------------------------------------------
dev.new()
p + geom_point() +
stat_median_iqr_text(y.pos = 36) +
labs(x = "Number of Cylinders", y = "Miles per Gallon")
#====================
# Example 4:
# Repeat Example 1, but show the
# median and interquartile range in a text box.
#----------------------------------------------
dev.new()
p + geom_point() +
stat_median_iqr_text(text.box = TRUE) +
labs(x = "Number of Cylinders", y = "Miles per Gallon")
#====================
# Example 5:
# Repeat Example 1, but use the color brown for the text.
#--------------------------------------------------------
dev.new()
p + geom_point() +
stat_median_iqr_text(color = "brown") +
labs(x = "Number of Cylinders", y = "Miles per Gallon")
#====================
# Example 6:
# Repeat Example 1, but:
# 1) use the same colors for the text that are used for each group,
# 2) use the bold monospaced font.
#------------------------------------------------------------------
mat <- ggplot_build(p)$data[[1]]
group <- mat[, "group"]
colors <- mat[match(1:max(group), group), "colour"]
dev.new()
p + geom_point() +
stat_median_iqr_text(color = colors,
family = "mono", fontface = "bold") +
labs(x = "Number of Cylinders", y = "Miles per Gallon")
#====================
# Clean up
#---------
graphics.off()
rm(p, mat, group, colors)
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