My data looks like this:
Smoker PtNo Day Hour FEV1 timename
1 0 1 1 0 3.26 d1h0
2 0 1 1 2 3.05 d1h2
3 0 1 1 4 3.02 d1h4
4 0 1 1 6 3.27 d1h6
5 0 1 2 0 3.28 d2h0
6 0 1 2 2 3.07 d2h2
7 0 1 2 4 3.35 d2h4
8 0 1 2 6 3.07 d2h6
9 0 1 3 0 3.28 d3h0
10 0 1 3 2 3.44 d3h2
I want to reshape it into wide format like this:
PtNo Smoker FEV1.d1h0 FEV1.d1h2 FEV1d1.h3 etc.
Where PtNo and Smoker and independent variables not varying by time, and FEV1 is the measured time-varying variable. I get various error messages using reshape and the melt/dcast functions in the reshape2 package. Any suggestions? (Please tailor response to novice level.)
Are you looking for this?
reshape(dat,direction='wide',
idvar=c('Smoker','PtNo'),
v.names='FEV1',
timevar='timename',
drop=c('Day','Hour'))
Smoker PtNo FEV1.d1h0 FEV1.d1h2 FEV1.d1h4 FEV1.d1h6 FEV1.d2h0 FEV1.d2h2 FEV1.d2h4 FEV1.d2h6 FEV1.d3h0 FEV1.d3h2
1 0 1 3.26 3.05 3.02 3.27 3.28 3.07 3.35 3.07 3.28 3.44
> dcast(df, PtNo + Smoker ~ timename, value.var="FEV1")
PtNo Smoker d1h0 d1h2 d1h4 d1h6 d2h0 d2h2 d2h4 d2h6 d3h0 d3h2
1 1 0 3.26 3.05 3.02 3.27 3.28 3.07 3.35 3.07 3.28 3.44
If you want the col names to be exactly as you have them, then you can just paste "FEV1" to timename before you dcast. dcast is from package reshape2.
来源：https://stackoverflow.com/questions/20620492/reshape-long-to-wide-with-multiple-groupings