Dear subscribers,
I've found that if there is a variable in the dataframe with a name very
similar to a new variable, R does not give the correct values to this latter
variable based on the values of a third value:
> M <- structure(list(V1 = c(67, 62, 74, 61, 60, 55, 60, 59, 58)),.Names =
> c("age"), row.names = c(NA, -9L),
+ class = "data.frame")
> M$sample[M$age >= 65] <- 1
> M
age sample
1 67 1
2 62 NA
3 74 1
4 61 NA
5 60 NA
6 55 NA
7 60 NA
8 59 NA
9 58 NA
> N <- structure(list(V1 = c(67, 62, 74, 61, 60, 55, 60, 59, 58), V2 = c(NA, 1,
> 1, 1, 1,1,1,1,NA)),
+ .Names = c("age","samplem"), row.names = c(NA, -9L),
class = "data.frame")
> N$sample[N$age >= 65] <- 1
> N
age samplem sample
1 67 NA 1
2 62 1 1
3 74 1 1
4 61 1 1
5 60 1 1
6 55 1 1
7 60 1 1
8 59 1 1
9 58 NA NA
Any clue for this behavior?
My specifications:
R version 3.1.1 (2014-07-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=Spanish_Spain.1252 LC_CTYPE=Spanish_Spain.1252
LC_MONETARY=Spanish_Spain.1252
[4] LC_NUMERIC=C LC_TIME=Spanish_Spain.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] foreign_0.8-61
loaded via a namespace (and not attached):
[1] tools_3.1.1
Thank you very much.
Angel Rodriguez-Laso
Research project manager
Matia Instituto Gerontologico
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