Day 03 – little helper multiplot
This article is originally published at https://www.statworx.com/de/
We at STATWORX work a lot with R and we often use the same little helper functions within our projects. These functions ease our daily work life by reducing repetitive code parts or by creating overviews of our projects. At first, there was no plan to make a package, but soon I realised, that it will be much easier to share and improve those functions, if they are within a package. Up till the 24th December I will present one function each day from helfRlein
. So, on the 3rd day of Christmas my true love gave to me…
What can it do?
This little helper combines multiple ggplots into one plot. This is a function taken from the R cookbook.
An advantage over facets
is, that you don't need all data for all plots within one object. Also you can freely create each single plot – which can sometimes also be a disadvantage.
With the layout
parameter you can arrange multiple plots with different sizes. Let's say you have three plots and want to arrange them like this:
1 2 2
1 2 2
3 3 3
With multiplot
it boils down to
multiplot(plotlist = list(p1, p2, p3),
layout = matrix(c(1,2,2,1,2,2,3,3,3), nrow = 3, byrow = TRUE))
Code for plot example
# star coordinates
c1 = cos((2*pi)/5)
c2 = cos(pi/5)
s1 = sin((2*pi)/5)
s2 = sin((4*pi)/5)
data_star <- data.table(X = c(0, -s2, s1, -s1, s2),
Y = c(1, -c2, c1, c1, -c2))
p1 <- ggplot(data_star, aes(x = X, y = Y)) +
geom_polygon(fill = "gold") +
theme_void()
# tree
set.seed(24122018)
n <- 10000
lambda <- 2
data_tree <- data.table(X = c(rpois(n, lambda), rpois(n, 1.1*lambda)),
TYPE = rep(c("1", "2"), each = n))
data_tree <- data_tree[, list(COUNT = .N), by = c("TYPE", "X")]
data_tree[TYPE == "1", COUNT := -COUNT]
p2 <- ggplot(data_tree, aes(x = X, y = COUNT, fill = TYPE)) +
geom_bar(stat = "identity") +
scale_fill_manual(values = c("green", "darkgreen")) +
coord_flip() +
theme_minimal()
# gifts
data_gifts <- data.table(X = runif(5, min = 0, max = 10),
Y = runif(5, max = 0.5),
Z = sample(letters[1:5], 5, replace = FALSE))
p3 <- ggplot(data_gifts, aes(x = X, y = Y)) +
geom_point(aes(color = Z), pch = 15, size = 10) +
scale_color_brewer(palette = "Reds") +
geom_point(pch = 12, size = 10, color = "gold") +
xlim(0,8) +
ylim(0.1,0.5) +
theme_minimal() +
theme(legend.position="none")
Overview
To see all the other functions you can either check out our GitHub or you can read about them here.
Have a merry advent season!
STATWORX
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Der Beitrag Day 03 – little helper multiplot erschien zuerst auf STATWORX.
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This article is originally published at https://www.statworx.com/de/
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