improving a bar graph
Ugly brute-force approach: col=1:16 . Jim Lemon's approach with Plotrix is much nicer. You might also want to have a look at RColorBrewer though I am not sure how easily it can handle 16 different colours. barplot(dft, beside = TRUE, main= "Risk score by assessment", xlab = " Score", ylab = "frequency", col=1:16)
--- Bob Green <bgreen at dyson.brisnet.org.au> wrote:
Hello, Below is the code for a basic bar graph. I was seeking advice regarding the following: (a) For each time period there are values from 16 people. How I can change the colour value so that each person has a different colour, which recurs across each of the three graphs/tie epriods? (b) I have seen much more sophisticated examples using lattice (e.g each person has a separate panel/plot). I am open to alternative code as to how I could present this data. Time1 <-
c(9.0,6.0,1.0,5.0,7.0,9.0,5.0,7.5,6.0,8.0,5.0,5.0,9.0,4.0,5.0,5.0)
Time2 <- c (10,5,3,3,3,6,7,8,5,8,7,7,9,8,5,3) Time3 <- c (10,0,3,0,0,6,0,0,0,0,0,0,0,0,0,0) df <- rbind (Time1, Time2, Time3) dft <- (t(df)) dft barplot(dft, beside = TRUE, main= "Risk score by assessment", xlab = " Score", ylab = "frequency", col="blue") Any assistance is much appreciated, regards Bob Green
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