plyr - Normalize data by use of ratios based on a changing dataset in R -


i trying normalize y scale converting values percentages. therefore, need divide every number in column first number in column. in excel, equivalent locking cell a1/$a1, b1/$a1, c1/$a1 d1/$d1, e1/$d1...

the data needs first meet 4 criteria (time, treatment, concentration , type) , reference value changes @ every new treatment. each treatment has 4 concentrations (0, 0.1, 2 , 50). values associated each concentration divided reference value (when concentration equal 0).

the tricky part reference value changes every 4 rows.

i have tried doing using ddply:

`mastertable <- read.csv("~/dropbox/master-table.csv")`   mastertable <- ddply(mastertable, .(time, type, treatment), transform, pc=(value/value$concentration==0))

but not working @ all. appreciated!

my data file can found here: master-table

thank you!

dplyr efficient here:

library(dplyr) result <- group_by(mastertable, time, type, treatment) %>%   mutate(pc = value / value[1])

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