Create Correlation Matrix Plot Without Variable Labels in R

To create correlation matrix plot without variables labels in R, we can use tl.pos argument set to n.

For Example, if we have a correlation matrix say M then we can create the correlation matrix plot without variables labels by using the below command −

corrplot(M,tl.pos='n')

Example

Following snippet creates a sample data frame −

x<-sample(0:9,20,replace=TRUE)
y<-sample(1:100,20)
z<-sample(101:1001,20)
df<-data.frame(x,y,z)
df

The following dataframe is created

   x  y   z
 1 6 36 895
 2 4 61 342
 3 0 51 222
 4 4 23 934
 5 0 18 744
 6 7 88 888
 7 0 27 999
 8 3 89 153
 9 8 32 452
10 7 80 237
11 6 82 877
12 5 14 980
13 5 76 630
14 4 39 345
15 8 12 229
16 4 31 817
17 1 57 375
18 5 7  531
19 6 84 343
20 0  9 968

To find the correlation matrix for data in df on the above created data frame, add the following code to the above snippet −

x<-sample(0:9,20,replace=TRUE)
y<-sample(1:100,20)
z<-sample(101:1001,20)
df<-data.frame(x,y,z)
M<-cor(df)
M

Output

If you execute all the above given snippets as a single program, it generates the following Output −

   x          y                 z
x  1.0000000  0.2435002 -0.1497751
y  0.2435002  1.0000000 -0.3495930
z -0.1497751 -0.3495930  1.0000000

To load corrplot package and creating correlation matrix plot on the above created data frame, add the following code to the above snippet −

x<-sample(0:9,20,replace=TRUE)
y<-sample(1:100,20)
z<-sample(101:1001,20)
df<-data.frame(x,y,z)
M<-cor(df)
library(corrplot)
corrplot(M)

Output

If you execute all the above given snippets as a single program, it generates the following Output −

To create correlation matrix plot without variables labels on the above created data frame, add the following code to the above snippet −

x<-sample(0:9,20,replace=TRUE)
y<-sample(1:100,20)
z<-sample(101:1001,20)
df<-data.frame(x,y,z)
M<-cor(df)
library(corrplot)
corrplot(M,tl.pos='n')

Output

If you execute all the above given snippets as a single program, it generates the following Output −