CODEWITHSUNDEEP
rggplot2bar-chartstacked
Ruser
Ruser

Reputation: 85

R-stacked-grouped barplot with different fill in R

I have the following code:

library(ggplot2)

K  <- data.frame(KK=c("30", "30", "30", "30","10", "10", "10", "10"),k=c("10", "8", "5", "2","10", "8", "5", "2"), 
               Precision=c(85.2,87.5,100,100,82.5,83.3,85.2,94.4),     
               Recall=c(73.3,80,100,100,51.4,54.8,61.1,87.9) , 
               Fscore=c(70.8,79.4,100,100,49.1,54.2,62.7,90.3),
               Accuracy=c(82.2,86.7,100,100,63.3,66.7,73.3,93.3)) 
  df2 <- reshape2::melt(K, 1:2)

   ggplot(df2, 
   aes(k, value, fill = variable)) + 
  geom_bar(stat = 'identity', position = 'dodge') +
 theme(legend.position = 'top')

This code gives me the following plot. enter image description here

However, I want to get a barplot like this

enter image description here

Each value of k (10,8,5,2) should be a group of bars and each colour of bar a metric. In addition, the bar from the KK value 30 should be solid and with KK of 10 stripped. I don't know if it is clear. In my output appears the values for K30, but missing with K10 merged with K30 stripped.

Upvotes: 3

Views: 6238

Answers (1)

Mike H.
Mike H.

Reputation: 14360

You could simply add the two different layers to your plot one for each KK value. Unfortunately, ggplot does not handle patterns well (or at all really), see this post: How to add texture to fill colors in ggplot2?

The code to add different layers for each KK value is:

ggplot() + 
  geom_bar(data=df2[which(df2$KK==10),], aes(k, value, fill = variable),stat = 'identity',position="dodge") +
  geom_bar(data=df2[which(df2$KK==30),], aes(k, value, fill = variable),stat = 'identity',position="dodge",alpha=0.5) +
  theme(legend.position = 'top')

enter image description here

Upvotes: 5

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