Day 03 – little helper multiplot

[This article was first published on r-bloggers – STATWORX, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

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…

door-03-multiplot

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))

day-03-multiplot

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!

Über den Autor
Jakob Gepp

Jakob Gepp

Numbers were always my passion and as a data scientist and statistician at STATWORX I can fullfill my nerdy needs. Also I am responsable for our blog. So if you have any questions or suggestions, just send me an email!

ABOUT US


STATWORX
is a consulting company for data science, statistics, machine learning and artificial intelligence located in Frankfurt, Zurich and Vienna. Sign up for our NEWSLETTER and receive reads and treats from the world of data science and AI. 

Der Beitrag Day 03 – little helper multiplot erschien zuerst auf STATWORX.

To leave a comment for the author, please follow the link and comment on their blog: r-bloggers – STATWORX.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)