Hi David, Phil,
Phil Spector wrote:
David -
Here's the easiest way I've been able to come up with.
Easiest? You are making unnecessary work for yourselves and seem not to
understand the purpose of ?naresid (i.e. na.action = na.exclude). Why not
take the simple route that I gave, which really
Thanks, Prof Spector. Your first solution works well for me.
Phil Spector wrote:
David -
Here's the easiest way I've been able to come up with. I'll provide
some sample data to make things clearer (hint, hint):
dat = data.frame(matrix(rnorm(100),20,5))
dat[3,4] = NA
dat[12,3] = NA
scrs =
I am sure there is a simple way to do the following, but i haven't been
able to find it. I am hoping a merciful soul on R-help could point me in
the right direction.
I am doing a factor analysis on survey data with missing values. to do
this, I run:
FA1-factanal(na.omit(DATA), factors = X,
On Aug 25, 2009, at 3:45 PM, David G. Tully wrote:
I am sure there is a simple way to do the following, but i haven't
been able to find it. I am hoping a merciful soul on R-help could
point me in the right direction.
I am doing a factor analysis on survey data with missing values. to
do
Hi David,
I am doing a factor analysis on survey data with missing values. ... Is
there a way to subset
from my original data set that will work with factanal() and preserve the
original rows or that
will allow me to append the factor scores back onto the original dataset
with the proper
David -
Here's the easiest way I've been able to come up with.
I'll provide some sample data to make things clearer (hint, hint):
dat = data.frame(matrix(rnorm(100),20,5))
dat[3,4] = NA
dat[12,3] = NA
scrs = factanal(na.omit(dat),factors=2,scores='regression')$scores
rownames(scrs) =
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