One suggestion you have probably already considered, but: why not R CMD
BATCH the script? You can set up an executable to do that. No need to
compile the actual R code.
If you want to hide the code and/or it has interaction, you can also set it
up on a web or intranet server for them, calling the
Dear Michael
If I understand you correctly, you already have an estimate of the
measurement error? It would seem that if you can estimate the error, then
this estimate comes with a standard error.
For example, suppose that you have a nonlinear model where one of the
predictors is a sum of two
Lumley [EMAIL PROTECTED] wrote:
On Wed, 23 Jan 2008, Daniel Oberski wrote:
Hello
Does anybody happen to know if it is possible to use the survey package
to
estimate a covariance matrix from a complex survey?
Yes. svyvar() in the survey package estimates a population covariance
matrix
Hello
Does anybody happen to know if it is possible to use the survey package to
estimate a covariance matrix from a complex survey?
I have design weights and clusters (no strata), and want to get a covariance
matrix with preferably the effective sample size or else an estimate of the
, 2008 8:45 PM, Patrick Connolly [EMAIL PROTECTED] wrote:
On Wed, 02-Jan-2008 at 10:08PM +0100, Daniel Oberski wrote:
| Dear all,
|
|
| I am trying to install R on a (Linux Debian) machine where I do not
| have root access. So far I succeeded in compiling from source and
| running R.
|
| But I
Dear all,
I am trying to install R on a (Linux Debian) machine where I do not
have root access. So far I succeeded in compiling from source and
running R.
But I would really like to be able to use make install and to be
able to install certain packages such as foreign. Now these actions
require
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