dear s-plus-users,
thanks to david m. smith, renaud lancelot, d. mckenzie, gérald jean, and nick
ellis for their quick answers. they all suggested the same solution:
leidenbeg.omiss <- leidenbeg[!is.na(leidenbeg$the.factor.variable), ]
still, the dimensions of the two datasets are the same:
> dim(leidenbeg)
[1] 686 894
> dim(leidenbeg.omiss)
[1] 686 894
my factor variable is THER (summary see below), so i wonder why the new
dataset doesn't contain 37 rows fewer than the old one. probably obious to
everybody except for me.
thanks, this is a great community.
bernd
*** Summary Statistics for data in: leidenbeg ***
THER
: 37
bt:207
pa:108
pd:334
Bernd Puschner schrieb:
> dear s-plus users,
>
> i have a hudge data set
>
> > dim(leidenbeg)
> [1] 686 889
>
> on part of which i want to perform survival analyses. i want to create a
> data set which omits all cases with missings on the factor variable of
> the survivals. if i compute
>
> leidenbeg.omiss <- na.omit (leidenbeg)
>
> s-splus kicks out cases with missings on any of the variables. there's
> probably a very easy solution to that.
>
> thanks a lot
>
> bernd
>
> ------------------------------------------------------------------------
> ---------------------------------------------------------------------
> This message was distributed by s-news@lists.biostat.wustl.edu. To
> unsubscribe send e-mail to s-news-request@lists.biostat.wustl.edu with
> the BODY of the message: unsubscribe s-news
|