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Create Facetted Plot in Horizontal Direction Using ggplot2 in R
To create facetted plot with facets in horizontal direction using ggplot2 in R, we can follow the below steps −
- First of all, create a data frame.
- Then, create the facetted plot using facet_grid function of ggplot2 package.
- Use facet_grid function with reversed value of categorical column to create the facetted plot with facets in horizontal direction.
Create the data frame
Let's create a data frame as shown below −
x<-rnorm(25) y<-rnorm(25) Grp<-sample(LETTERS[1:3],25,replace=TRUE) df<-data.frame(x,y,Grp) df
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
x y Grp 1 0.04783437 -1.15182325 C 2 0.56696771 0.12167256 A 3 -1.19615960 -1.16038178 B 4 0.95960082 1.00415819 C 5 0.50725210 0.54469494 C 6 -0.37411224 1.60231699 B 7 1.42044733 -0.11057038 B 8 1.69437460 0.01264523 C 9 0.51677914 0.57436245 A 10 -0.04810441 0.54283138 C 11 -1.28024577 -0.53045053 A 12 -0.48968148 0.18115294 B 13 1.28769546 1.16062792 B 14 0.93050145 0.63649217 B 15 0.72614070 0.59524893 A 16 -0.19306114 -0.52972220 A 17 -0.56122938 0.45013366 C 18 0.77504861 0.31892391 C 19 -0.26756380 -0.32371074 C 20 -1.11077206 0.89716628 A 21 -0.60040090 -0.15187155 C 22 -0.31920172 0.25808226 A 23 1.16802977 1.73149549 B 24 1.69736349 1.36917698 C 25 0.93134640 -0.05803692 A
Create the facetted plot
Use facet_grid function to create point chart between x and y based on Grp column −
x<-rnorm(25) y<-rnorm(25) Grp<-sample(LETTERS[1:3],25,replace=TRUE) df<-data.frame(x,y,Grp) library(ggplot2) ggplot(df,aes(x,y,col=Grp))+geom_point()+facet_grid(~Grp)
Output
Create the facetted plot with facets in horizontal direction
Use facet_grid function to create point chart between x and y based on Grp column by providing Grp column name before tilde as shown below −
x<-rnorm(25) y<-rnorm(25) Grp<-sample(LETTERS[1:3],25,replace=TRUE) df<-data.frame(x,y,Grp) library(ggplot2) ggplot(df,aes(x,y,col=Grp))+geom_point()+facet_grid(Grp~.)
Output
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