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 to do it...
For creating heatmaps, follow these steps:
- First, reorder the correlation matrix and melt it:
> cormat <- reorder_cormat(mtcars_cor)> upper_tri <- get_upper_triangle(cormat)> melted_cormat <- melt(upper_tri, na.rm = TRUE)
- Next, use the reordered correlation data and plot for the visualization of a heatmap plot:
> ggplot(melted_cormat, aes(Var2, Var1, fill = value))+geom_tile(color = "white")+scale_fill_gradient2(low = "blue", high = "red", mid = "white",midpoint = 0, limit = c(-1,1), space = "Lab", ="Pearson\nCorrelation") +theme_minimal()+theme(axis.text.x = element_text(angle = 45, vjust = 1, size = 12, hjust = 1))+coord_fixed()
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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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