September 2017
Beginner to intermediate
560 pages
25h 18m
English
book
R Data Analysis Cookbook, Second Edition - Second Edition
by Kuntal Ganguly, Davor Lozić, Mzabalazo Z. Ngwenya, Andrew Bauman, Shanthi Viswanathan, Viswa Viswanathan
Content preview from R Data Analysis Cookbook, Second Edition - Second Edition
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How it works...
The corrplot() function has lots of options. You can create a lighter palette so that the text is readable by removing the color legend and ordering the correlated items closer together, using the order="AOE" option:
> col <- colorRampPalette(c("#BB4444", "#EE9988", "#FFFFFF", "#77AADD", "#4477AA"))> corrplot(mtcars_cor, method="shade", shade.col=NA, tl.col="black", tl.srt=45, col=col(200), addCoef.col="black", addcolorlabel="no", order="AOE")
To deal with NA values present in the correlation matrix, you can probably use the use="complete.obs" or use="pairwise.complete.obs option before plotting. Like many other standalone ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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