Thank you for your suggestions. I found, after much experimentation,
that scale_fill_gradientn did indeed provide a good solution, as below.
library(ggplot2)
a <- c(rep(1,6),rep(2,6),rep(3,6),rep(4,6))
b <- c(0.1, 0.5,-0.3, 1.2,-0.4,-1.2,
0.7, 0.8,-1.2,-0.5,10.0, 0.3,
0.2,-0.4,-15.,-0.4,-0.9, NA,
0.1, 1.3,-1.4, 0.5,-0.5, 0.1)
c <- c(rep(c("a","b","c","d","e","f"),4))
df <- data.frame(a,b)
ggplot(df,aes(x=a,y=c,fill=b))+
geom_tile()+
geom_text(label=ifelse(is.na(b),"NA",paste0(round(b,1),"%")),
size=10,colour="black")+
scale_fill_gradientn(colours=c("yellow","green","red","lightblue"),
values=c(0.0,0.5,0.7,1.0),na.value="white")
Philip
On 2021-03-08 23:44, Jeff Newmiller wrote:
Perhaps scale_fill_gradientn() would be useful.
On March 8, 2021 8:05:52 PM PST, p...@philipsmith.ca wrote:
I am having trouble with a gradient fill application in ggplot2,
caused
by outlier values. In my reprex, most of the values are between 2 and
-2, but there are two outliers, 10 and -15. The outliers stand out
well,
which is good, but all the other numbers show almost no colour
variation. I would like to continue with bold colours for the
outliers,
while having a more variable gradient, perhaps but not necessarily in
a
different colour, for the values between 2 nd -2. Any ideas on how
this
can be done?
library(ggplot2)
a <- c(rep(1,6),rep(2,6),rep(3,6),rep(4,6))
b <- c(0.1, 0.5,-0.3, 1.2,-0.4,-1.2,
0.7, 0.8,-1.2,-0.5,10.0, 0.3,
0.2,-0.4,-15.,-0.4,-0.9, NA,
0.1, 1.3,-1.4, 0.5,-0.5, 0.1)
c <- c(rep(c("a","b","c","d","e","f"),4))
df <- data.frame(a,b)
ggplot(df,aes(x=a,y=c,fill=b))+
geom_tile()+
geom_text(label=paste0(round(b,1),"%"),
size=10,colour="gold")+
scale_fill_gradient(low="red",high="blue",na.value="grey50")
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
