R - corrplot correlation matrix division
Like this? par(mfrow = c(2,2)) corrplot(cormatx[1:6,1:6], method="color") corrplot(cormatx[1:6,7:12], method="color") corrplot(cormatx[7:12,1:6], method="color") corrplot(cormatx[7:12,7:12], method="color") ...
corrplot causing weird error
Okay, I've worked it out. There weren't any p-values greater than that required by sig.level all of them were less than 0.05. As soon as I edited one value to be greater than 0.05 it made it work eg. weird[1,1] <- 0.1 corrplot(weird) works...
Customizing what variables are shown on the sides and on the top of the outputs `corrplot` or `corrgram` in R
r,data-visualization,heatmap,correlation,r-corrplot
You can try the heatmap.2 function from the gplots package which I like for heatmaps and it will give something very similar to the graph you are after (I rounded to second digit for the example below. Use as many digits as you want): Some data manipulation initially: mycor <-...
R return corrplot as object
There's the old standby par(mfrow=c(x, y)) where x is the number of rows you wish to plot and y the numberof columns. It then posts across and then down as you call the plots. par(mfrow = c(2, 2)) corrplot(cor(mat1)) corrplot(cor(mat2)) corrplot(cor(mat3)) corrplot(cor(mat4)) par(mfrow = c(1, 1)) #To clear layout Will...
Manipulating axis titles in ggpairs (GGally)
r,scatter-plot,ggally,r-corrplot
Short answer: There doesn't seem to be an elegant or easy way to do it, but here's a workaround. I dug into the ggpairs source code (in the GGally package source available from CRAN) to see how the variable labels are actually drawn. The relevant function in ggpairs.R is print.ggpairs....