Assign Color to Every Subject in Group

[thaliagoo]

If I have a dataframe with 100 subjects, and each subject falls within 20 different groups, and each group has between 3-6 subjects.

I have a list of 10 colors (red, green, blue, etc). I want to assign a color to each subject in a group, for example, the first subject in group A is red, second subject in group A is green, third subject in group A is blue, etc. Then first subject in group B is red, second subject in group B is green, third subject in group B is blue, etc.

Can you please help me write a code for this?

Code added:

D<-data.frame(ID = c("01", "03", "04", "07", "08", "05", "10", "09", "12", "11", "16", "17", "15", "19", "26", "25", "20", "32", "28", "29", "31", "34", "35", "36", "37"), Group = c(1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6))
Color<- c("#3366cc","#dc3912", "#ff9900", "#109618", "#990099", "#0099c6", "#dd4477", "#66aa00", "#b82e2e", "#316395",'#994499','#22AA99','#AAAA11','#6633CC','#E67300','#8B0707','#651067','#329262','#5574A6','#3B3EAC')

[FJCC]

I would create a ranking within each group and join a list of colors to that but it is hard to give an example without seeing an example of the data. Could you post a small example of the data? Just a couple of groups would be enough.

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[thaliagoo]

I added an example for the first 25 subjects.

[FJCC]

library(dplyr)

D <- data.frame(ID = c("01", "03", "04", "07", "08", "05", "10", "09", "12", "11", "16", "17", "15", 
                       "19", "26", "25", "20", "32", "28", "29", "31", "34", "35", "36", "37"), 
                Group = c(1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6))
Color <- c("#3366cc","#dc3912", "#ff9900", "#109618", "#990099", "#0099c6", "#dd4477", "#66aa00", 
           "#b82e2e", "#316395",'#994499','#22AA99','#AAAA11','#6633CC','#E67300','#8B0707','#651067',
           '#329262','#5574A6','#3B3EAC')

D <- D %>% group_by(Group) %>% mutate(Rank = row_number(ID)) %>% arrange(Group, Rank)

ColDF <- data.frame(Rank = 1:20, Color = Color)

D <- inner_join(D, ColDF, by = "Rank")

head(D)
#> # A tibble: 6 x 4
#> # Groups:   Group [2]
#>   ID    Group  Rank Color  
#>   <fct> <dbl> <int> <fct>  
#> 1 01        1     1 #3366cc
#> 2 03        1     2 #dc3912
#> 3 04        1     3 #ff9900
#> 4 05        2     1 #3366cc
#> 5 07        2     2 #dc3912
#> 6 08        2     3 #ff9900

^{Created on 2019-08-16 by the reprex package (v0.2.1)}