Using Multiple scale_fill_manual in ggplot2

Question

Assuming I have a data frame as such:

Date <- seq(as.Date("1990-03-01"), by = 'quarters', length.out=100)
Date<- as.yearqtr(Date, format="%Y-%m-%d")
A <- runif(100, 500, 2000)
B <- runif(100, 200, 1000)
C <- runif(100, 1000, 5000)
df <- data.frame(Date, A, B, C)

I would like to create a heatmap using ggplot2 but apply a different conditional discrete colour scale to each variable A and B based on the percentile of each of its value. i.e. For values below the 25th percentile > red, for values between 25th to 50th percentile > orange, for values between 50th to 75th percentile > yellow, for values between 75th to 100th percentile > green.

I could create a heatmap on ggplot geom_tiles by using the melt function and making x=Date and y=variable, with fill=value. However, they will take the value of all the variables as one vector and give the 25th percentile based on all the combined values. Is there a way to separately condition the scale_fill_manual based on the percentiles of individual variables A, B, C. In that case I would probably need to apply multiple scale_fill_manual functions.

Alternatively is there any way which I can stack the ggplot on top of each other since I have been able to create individual heatmaps for each variable. I have been struggling with this for a while and any help is appreciated, thank you very much.

Community · Accepted Answer · 2017-05-23 10:29:06Z

1

This should help with the color coding:

Date <- seq(as.Date("1990-03-01"), by = 'quarters', length.out=100)
Date<- as.yearqtr(Date, format="%Y-%m-%d")
A <- runif(100, 500, 2000)
B <- runif(100, 200, 1000)
C <- runif(100, 1000, 5000)
df <- data.frame(Date, A, B, C)

df

quantA <- quantile(df$A, c(0.25, 0.75))
quantB <- quantile(df$B, c(0.25, 0.75))
quantC <- quantile(df$C, c(0.25, 0.75))

df$quantA  <- with(df, factor(ifelse(A < quantA[1], 0, 
                                      ifelse(A < quantA[2], 1, 2))))
df$quantB  <- with(df, factor(ifelse(B < quantB[1], 0, 
                                     ifelse(B < quantB[2], 1, 2))))
df$quantC  <- with(df, factor(ifelse(C < quantC[1], 0, 
                                     ifelse(C < quantC[2], 1, 2))))

Please see this post for more details on color coding based on percentiles:

Color code points based on percentile in ggplot

and this one for color coding based on multiple variables:

R ggplot barplot; Fill based on two separate variables

edited May 23, 2017 at 10:29

CommunityBot

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answered Jun 13, 2016 at 2:02

Hack-R

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2 Comments

Binggg Over a year ago

Thank you so much! It was really useful, I forgot I could actually group them and work with the groups. Thanks!

Hack-R Over a year ago

@Binggg Awesome, glad to hear it!

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