In ggplot2 you can create a named vector of colors and use
scale_fill_manual, like this:
TestData <- data.frame(rep(c("A","B","C","D","E","F"), each=10),
rep(1:10, 6), rnorm(6, 60, 10)*rep(1:10, 6))
names(TestData) <- c("category", "timeline", "rollup")
library(ggplot2)
catlevels <- levels(TestData$category)
plotcolors <- rainbow(length(catlevels))
names(plotcolors) <- catlevels
ggplot(TestData,
aes(as.factor(timeline), rollup)) +
geom_bar(stat="identity", aes(fill=category)) +
scale_fill_manual(values = plotcolors)
dev.new()
ggplot(subset(TestData, category %in% c("D", "E", "F")),
aes(as.factor(timeline), rollup)) +
geom_bar(stat="identity", aes(fill=category)) +
scale_fill_manual(values = plotcolors)
Best,
Ista
On Fri, Jun 27, 2014 at 8:07 PM, Jim Lemon <j...@bitwrit.com.au> wrote:
> On Thu, 26 Jun 2014 07:34:15 PM Kellyn Wolff wrote:
>> Hi all,
>>
>> I'm creating a set of stacked bar charts, where each bar is colored
> by
>> a category. The problem I'm having is that a given category is being
>> represented by different colors across plots (category A might be
> red
>> in one plot and blue in another). This is because the number of
>> categories in a given plot may change, thus getting a different color
>> assignment from R.
>>
>> My thought was that I could create a column with the hexadecimal
> value
>> for the color I want in each category, and then somehow specify in
> the
>> plot that I want it to choose the color specified in that column.
>> There may be a better way.
>>
>> I am using RStudio 0.98.945 on Windows 7 64 bit. I've pasted some
>> example code below to illustrate the issue I'm having. You will
>> notice that categories D, E and F in "plottest2" have different colors
>> than they do in "plottest". I want colors for a given category to
>> persist across plots.
>>
>> TestData <- data.frame(rep(c("A","B","C","D","E","F"), each=10),
>> rep(1:10, 6), rnorm(6, 60, 10)*rep(1:10, 6))
>> names(TestData) <- c("category", "timeline", "rollup")
>>
>> library(ggplot2)
>> plottest <- ggplot(TestData, aes(as.factor(timeline), rollup,
> category))
>> plottest + geom_bar(stat="identity", aes(fill=category)) +
>> labs(title="Test rollup data over time") +
>> labs(x = "Time measure") + labs(y = "Frequency Totals") +
>> theme(axis.text.x = element_text(angle = 45, hjust = 1))
>>
>>
>> plottest2 <- ggplot(subset(TestData, category == "D" | category
> == "E"
>>
>> | category == "F"), aes(as.factor(timeline), rollup, category))
>>
>> plottest2 + geom_bar(stat="identity", aes(fill=category)) +
>> labs(title="Test rollup data over time subsetted") +
>> labs(x = "Time measure") + labs(y = "Frequency Totals") +
>> theme(axis.text.x = element_text(angle = 45, hjust = 1))
>>
> Hi Kellyn,
> A useful strategy is to generate a set of colors for all categories, and
> then apply the same subsetting criterion to both categories and colors
> for each plot:
>
> testmat<-matrix(TestData$rollup,nrow=6,byrow=TRUE)
> rownames(testmat)<-levels(TestData$category)
> barplot(testmat,col=testcol)
> rowsDE<-rownames(testmat) %in% c("D","E")
> barplot(testmat[rowsDE,],col=testcol[rowsDE])
>
> My apologies, but I couldn't quite work out where to put the color
> argument in ggplot2. However, this trick should work in ggplot2.
>
> Jim
>
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