Reputation: 65
I have a dataframe that looks like this:
Dose Treatment PE
0 Gy RT .75
2 Gy RT .60
4 Gy RT .30
0 Gy P1 .52
2 Gy P1 .21
4 Gy P1 .15
I want to create a new column(SF) calculated by dividing the all values in the PE column by the dose "0 Gy" respective to their treatment
Ending up with something like:
Dose Treatment PE SF
0 Gy RT .75 1
2 Gy RT .60 .8
4 Gy RT .30 .4
0 Gy P1 .52 1
2 Gy P1 .21 .40
4 Gy P1 .15 .29
How can I accomplish this? Is it possible to get this using dpylr?
Upvotes: 1
Views: 32
Reputation: 886948
After grouping by 'Treatment', subset the 'PE' value where 'Dose' is '0 Gy' and use that to divide the whole 'PE' column
library(tidyverse)
df %>%
group_by(Treatment) %>%
mutate(SF = PE/PE[Dose == '0 Gy'])
Upvotes: 1