Once again I'm trying to get an answer. I am already stuck for like 5h with that so that's why I keep trying to get an answer.
That's my data:
id Sequence variable value
75 AAAAGAAAVANQGKK BiotinControl1_2 3893050.50
192 AAAAGAAAVANQGKK BiotinControl1_2 900604.61
3770 AAFTKLDQVWGSE BiotinControl1_2 90008.14
The code which I am trying to use to calculate the p-value:
My Code:
tbl_anv <- tbl_all_onlyK[,c("id", "BiotinControl1_2", "BiotinControl2", "BiotinControl3", "BiotinTreatment1_2", "BiotinTreatment2", "BiotinTreatment3", "Sequence")]
tbl_reo <- melt(tbl_anv, measure.vars=2:7)
set.seed(1)
vars <- c("id", "BiotinControl1_2", "BiotinControl2", "BiotinControl3",
"BiotinTreatment1_2", "BiotinTreatment2", "BiotinTreatment3",
"Sequence")
tbl_reo <- as.data.frame(tbl_reo)
by(tbl_reo,tbl_reo$Sequence,function(x){
anova(lm(value ~ variable, data = x))$"Pr(>F)"[1]
})
An error ocurs:
There were 50 or more warnings (use warnings() to see the first 50)
Anyway, how can I do that and export the p-value in the separate column.
That's what I tried to do on my own:
aov_test <- by(tbl_reo,tbl_reo$Sequence,function(x){
anova(lm(value ~ variable, data = x))$"Pr(>F)"[1]
})
tbl_reo[,5] <- aov.test[[1]]$'Pr(>F)'[1]
