Using Loops to create multiple correlation scatterplots

Question

I am looking to generate ggplot2 scatter plots for each variable combination.

We can use the mtcars dataset as an example -- how can I generate the following graph for every possible column combination?

mpg vs. cyl, mpg vs. disp, etc...

cyl vs. disp, cyl vs. hp, etc...

and so on....

ggplot(mtcars, aes(x = mpg, y = cyl)) +
  geom_point(size = 3.5) +
  guides(fill=guide_legend(override.aes=list(shape=21))) +
  stat_cor(method = "pearson") +
  geom_smooth(method = lm, alpha = 0.1, color = "black")

can a loop be generated and column names be recorded and graphs are sequentially generated and saved as a .tif?

Sounds like you want ggpairs. You done any searching?

IRTFM
– IRTFM

2023-04-28 20:25:49 +00:00
Commented Apr 28, 2023 at 20:25 — IRTFM
– IRTFM, Commented Apr 28, 2023 at 20:25

Wael · Accepted Answer · 2023-04-28 21:24:50Z

0

If your aim is to have var to var correlation plots there are some packages for that like GGally

library(GGally)
ggscatmat(mtcars,columns =c(1,3:5) ,  color = "vs", alpha = 0.8)

^{Created on 2023-04-28 with reprex v2.0.2}

but if your aim is to use your customized plot

library(ggplot2)
library(ggpubr)
for (i in names(mtcars)[1:3]) {
  for (j in names(mtcars)[1:3]) {
    g=ggplot(mtcars, aes(x =!!sym(i), y = !!sym(j))) +
      geom_point(size = 3.5) +
      guides(fill=guide_legend(override.aes=list(shape=21))) +
      stat_cor(method = "pearson") +
      geom_smooth(method = lm, alpha = 0.1, color = "black")
    print(g)
  }
}

.... ....

^{Created on 2023-04-28 with reprex v2.0.2}

answered Apr 28, 2023 at 21:24

Wael

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