On Aug 23, 2012, at 2:02 AM, Ingmar Schuster wrote:
Thanks Rui!
Anybody with ideas regarding filling _while_ binding data frames
instead of
afterwards?
Not sure what you mean by " _while_ binding dataframes" but the
original question seems answered by this sentence from the help file
Thanks Rui!
Anybody with ideas regarding filling _while_ binding data frames instead of
afterwards?
Ingmar
2012/8/22 Rui Barradas
> Hello,
>
> Your function doesn't seem to be very difficult to generalize.
>
> d <- read.table(text="
>
>trg_type child_type_1
> 1 Scientists NA
> 2of
Hello,
Your function doesn't seem to be very difficult to generalize.
d <- read.table(text="
trg_type child_type_1
1 Scientists NA
2of used
", header=TRUE)
str(d)
subs_na <- function(tok, na_factor_level = "NOT_REALIZED", na_num = 9) {
ifac <- which(sapply(tok, is.fac
Hi,
I have a data set with variables that are _not_ missing at random. Now I
use a package for learning a Bayesian Network which won't accept NA as a
value. From a database I query data.frames with k,k+n,k+2n, ... variables
(there are always at least k variables as leftmost columns). Using
rbind.f
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