Mark Na wrote:
Dear R-helpers,
I am helping a SAS user run some analyses in R that she cannot do in
SAS and she is complaining about R's peculiar (to her!) way of
recoding variables. In particular, she is wondering if there is an R
package that allows this kind of SAS recoding:
IF TYPE='TRUCK' and count=12 THEN VEHICLES=TRUCK+((CAR+BIKE)/2.2);
vehicles <- ifelse(TYPE=='TRUCK' & count=12, TRUCK+((CAR+BIKE)/2.2), NA)
or maybe
newdata <- within(mydata,
vehicles <- ifelse(TYPE=='TRUCK' & count=12,
TRUCK+((CAR+BIKE)/2.2), NA)
)
or transform(mydata, vehicles=....)
or, if you insist on only having the calculation done for the subgroup,
sub <- with(mydata, TYPE=='TRUCK' & count=12)
sub <- sub && !is.na(sub)
mydata$vehicles <- NA
mydata$vehicles[sub] <- with(mydata[sub,], TRUCK+((CAR+BIKE)/2.2) )
(all assuming that there's no "vehicles" in the data to begin with).
--
O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B
c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
(*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
~~~~~~~~~~ - (p.dalga...@biostat.ku.dk) FAX: (+45) 35327907
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