Hello, I'm having a problem using the "transform" and "get" functions. I'm
probably making a dumb mistake, and I need help!
I start by making a small simulated dataset. I save the names of the
variables in "var.names." Without getting into the details of it, I have to
create a custom function to p
on factor scores for more
info.
-Roni
On Mon, Jan 17, 2011 at 5:24 PM, Roni Kobrosly wrote:
> I'm working with a data collected through complex survey design. My goal is
> to conduct a factor analysis ti extract two a priori known factors, and to
> get factor scores for these f
I'm working with a data collected through complex survey design. My goal is to
conduct a factor analysis to extract two a priori, known factors, and to get
factor scores for these factors. Unfortunately, the "svyfactanal" procedure
from the Survey package does not allow for the calculation of ei
update() works!
Thank you thomas
On Jun 4, 2010, at 11:47 AM, Thomas Lumley wrote:
>
>
> I think you're looking for the update() function.
>
> -thomas
>
> On Thu, 3 Jun 2010, Roni Kobrosly wrote:
>
>> Hi,
>>
>> I made a small table of s
Hi,
I made a small table of strings that will serve as variable names for lm models
I will run. The table looks like this:
> varnames
numname
11 zCANTAB_log_IED_totaltrials
22 zCANTAB_log_IED_preED
33zCANTAB_logPALerrors
44
Hello,
I'm using a complex survey dataset and my goal is to simply spit out a bunch of
probability-weighted outcome variable means for the different levels of
covariate. So I first define the structure of the study design (I'm using the
CDC's NHANES data):
dhanes <- svydesign(id=~PSU, strat=~S
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