Dear all,
I'm learning R, with a "classical" programming background. Some hours were
necessary for me to programm the "vector" way.
Here is my dataset :
ds <- data.frame( st=runif(100), st=runif(100),s1=runif(100),mp=runif(100))
I need to generate 2 new variables. First was easy :
ds$n1 <- (ds$st>0.38)*1
Second involve a "if" statement.
Here is the "python way" of expressing what I need :
nash <- function(st,s0,s1,mp){
if (is.na(st) | (st<=0.38)){
return(0.25)
}
if (s0 == mp){
return(0.25)
}
if (s1 == mp){
return(0.5)
}
if (mp == 1){
return(0.75)
}
}
I would like to do something like :
ds$n2 <- nash(ds)
I mean I would like to add a new variable "n2", whose value depends on the
value of other variables - row per row.
I played with a for loop (don't flame :p), with apply functions and
derivatives, with a logical set, etc....
Can you help me find the "R" way, please ?
Cheers,
--
Olivier Deckmyn | [email protected] | 06 73 40 89 88
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