On Mon, 29 Dec 2008, Mark Heckmann wrote:
Hi R-experts,
suppose I have a list with containing data frame elements:
[[1]]
(Intercept) y1 y2 y3 y4
-6.64 0.761 0.383 0.775 0.163
[[2]]
(Intercept) y2 y3
-3.858 0.854 0.834
Now I want to put them into ONE dataframe like this:
(Intercept) y1 y2 y3 y4
1 -6.64 0.761 0.383 0.775 0.163
2 -3.858 NA 0.854 0.834 NA
The problem I encounter is that not always all possible columns (Intercept,
y1, y2, y3, y4) exist or at least have NA entries .
I cannot figure out how (e.g. with merge)...
Just use a nested for loop:
my.list <- list(c(a=1,b=2,c=3),c(a=10,b=20),c(g=7,h=8))
dat <- data.frame()
for(i in seq(along=my.list)) for(j in names(my.list[[i]])) dat[i,j] <-
my.list[[i]][j]
If what you actually wanted was a _matrix_, and if it is rather large,
faster solutions might be possible using tapply or sapply.
HTH,
Chuck
TIA, Mark
--
Mark Heckmann (Dipl. Wirt.-Ing.)
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Charles C. Berry (858) 534-2098
Dept of Family/Preventive Medicine
E mailto:cbe...@tajo.ucsd.edu UC San Diego
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