Thank you all so much for your help.
I've gone with
repeated_measures_data.csv:
sub,A1B1,A1B2,A2B1,A2B2
s1,400,475,420,510
s2,390,500,470,472
s3,428,512,555,610
s4,703,787,801,822
s5,611,634,721,705
s6,543,522,612,788
s7,411,488,506,623
s8,654,644,711,795
library(reshape)
data<-read.csv("repeated_measures_data.csv")
data.long <- melt(data)
data.long$A <- as.factor(substr(data.long$variable,1,2))
data.long$B <- as.factor(substr(data.long$variable,3,4))
data.long$variable <- NULL
data.long <- rename(data.long, c("value"="RT"))
as it offers the smallest chance of me messing up the factor levels.
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