Dear Dorian,
This is the first thing I download from GitHub!
I'm amazed at how many of the problems you found / create a solution, which I thought that just bothers only me. Until now deleted the coefficients with MS Paint one by one / or set the color to white or ... BRRR ....and this is now finally over. My friend, this package is simply fantastic. 👍
Ionly have a small problem: for some reason coefficient numbers are shifting / disappairing
(and the heatmap shows 100 instead of 1.0 , but this has less priority)
And the important(?) part from the code:
(...) corrplot2(M, method="color", col=col2(100), addCoef.col = "black", addCoefasPercent=T, addCoef.font = 1, addCoef.labels = "significant", addCoef.cex = 0.6, tl.cex = 0.8, tl.col="black", tl.offset = 0.4, mar=c(1,0,1,0), diag=FALSE, p.mat = res1[[1]],insig = "blank", sig.level=0.05)
Dear Dorian,
This is the first thing I download from GitHub!
I'm amazed at how many of the problems you found / create a solution, which I thought that just bothers only me. Until now deleted the coefficients with MS Paint one by one / or set the color to white or ... BRRR ....and this is now finally over. My friend, this package is simply fantastic. 👍
Ionly have a small problem: for some reason coefficient numbers are shifting / disappairing
(and the heatmap shows 100 instead of 1.0 , but this has less priority)
And the important(?) part from the code:
(...) corrplot2(M, method="color", col=col2(100), addCoef.col = "black", addCoefasPercent=T, addCoef.font = 1, addCoef.labels = "significant", addCoef.cex = 0.6, tl.cex = 0.8, tl.col="black", tl.offset = 0.4, mar=c(1,0,1,0), diag=FALSE, p.mat = res1[[1]],insig = "blank", sig.level=0.05)