I am new to coding and R. I was trying to visualize a correlation matrix using corrplot
, but don't want to show all the correlation values. I wish to hide/cancel a chunk of selected columns and rows correlation values, so only an inverted 'L' of values are shown.
As an example, see edited image of an example corrplot
here:
将图中您想要空白的条目设置为相关矩阵(或其副本)中的NA
,然后在调用na.label=" "
设置参数na.label=" "
。
exclude these columns by using indexes, for example
M <- cor( mtcars[ , -c(1, 3, 6)] )
corrplot(M, method = "ellipse")
where we exclude columns 1, 3, 6 (variables mpg, disp, cyl). Other way would be specifying which columns should be evaluated
mtcars[ , c(2:4, 7) ]
takes into account columns 2, 3, 4 and 7. Go through some R tutorial for beginners to familiarize yourself with coding conventions.
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