Yes, consider:
df=data.frame(Clinic=rep(c(A, B, C), 2),
Rep=c(1, 1, 1, 2, 2, 2),
colM1=c(1, 0, 0, 1, -1, 1),
ColM2=c(0, -1, -1, 1, 0, 0),
ColM3=c(0, 0, 1, -1, 0, 1),
ColM40=c(1, 0, -1, 0, 1, -1)
)
Clinic=1; Rep=2
ff=function(x, v) sum(x == v)
Dataframe1=aggregate(df[, -c(Clinic, Rep)], df[Clinic], ff, 1)
names(Dataframe1)[1]=Clinic
Dataframe2=aggregate(df[, -c(Clinic, Rep)], df[Clinic], ff, -1)
names(Dataframe2)[1]=Clinic
Dataframe1
Dataframe2
Heikki Kaskelma
--
Bert Jacobs kirjoitti jokin aikaa sitten:
I would like to make a conditional sum for certain columns in
a dataframe.
This is how my dataframe looks like:
Clinic Rep ColM1 ColM2 ColM3 ... ColM40
A 1 10 01
B 1 0-1 00
C 1 0-1 1-1
A 2 11 -1 0
B 2 -1 0 01
C 2 10 1 -1
I would like to have two new dataframes so that
Dataframe1: with the count of all 1
Clinic ColM1 ColM2 ColM3 .. ColM40
A2 10 1
B0 00 1
C1 02 0
Dataframe2: with the count of all -1
Clinic ColM1 ColM2 ColM3 .. ColM40
A0 01 0
B1 10 0
C0 10 2
Is there an easy way to achieve this.
Thx,
Bert
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