So I got this dataframe here:
> head(HR_df)
Var1 Var2 Freq
1 A 2432.41955446887 0.0003224956
2 B 2432.41955446887 0.0004902131
3 C 2432.41955446887 0.0002273111
4 D 2432.41955446887 0.0001346622
5 E 2432.41955446887 0.0003125771
6 F 2432.41955446887 0.0004718690
I was trying to make the Var2 column values become all the column names, the Var1 become the row names and the Freq the value. Something like this:
> head(HR_df)
2432 2501 ....
A 0.0003224956 0.0004956001 ....
B ....... ...... ....
This was supposed to be a simple task, but I'm not very used to R and I can't find an answer anywhere.
Thank you for your time!
Maybe you can try
reshape(df,direction = "wide",idvar = "Var1",timevar = "Var2")
Example
Given dummy data
df <- structure(list(Var1 = c("A", "B", "C"), Var2 = c(0.0286285823676735,
0.720798232126981, 0.206408529775217), Freq = c(0.166666666666667,
0.333333333333333, 0.5)), class = "data.frame", row.names = c(NA,
-3L))
we will get
> reshape(df,direction = "wide",idvar = "Var1",timevar = "Var2")
Var1 Freq.0.0286285823676735 Freq.0.720798232126981 Freq.0.206408529775217
1 A 0.1666667 NA NA
2 B NA 0.3333333 NA
3 C NA NA 0.5 0.5