This solution such as data-na.omit(original database) before you
run step() or stepAIC() has some limitations, I think. I reduced the
number of data lines, and it enhance R square value.
If you have some tips or advices for another solution, I welcome.
Kum
Urban and Regional Planning, GRI
On
Have you considered the implications of that solution?
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
project.org] On Behalf Of Kum-Hoe
I thank those who helped to solve a error in stepwise regression with
missing values.
Kum
*
*
A good solution that I have tried was Andreas's advice.
=
Try
data-na.omit(original database) before you run step() or stepAIC()
Sorry for my faulty email and another correct email
I thank those who helped to solve a error in stepwise regression with
missing values.
A good solution that I have tried was Andreas's advice.
=
Try
data-na.omit(original
Howdy, R Grues
I have enjoyed R, but I cannot solve one problem easily. Please help my problem.
When I tried the R script, I got the following Error. This error
results from input data file exported through a Excel spreadsheet
software.
Error in step(lm(pop.rate ~ as.numeric(year) +
Hi Kum,
If you look at the code step function ( by typing step in the R
console), the condition (if (length(fit$residuals) != n) ) is not
fulfilled, this explains the error!
i hope this can help
Regards
M
Kum-Hoe Hwang a écrit :
Howdy, R Grues
I have enjoyed R, but I cannot solve one
On 2010-02-16 1:24, Kum-Hoe Hwang wrote:
Howdy, R Grues
I have enjoyed R, but I cannot solve one problem easily. Please help my problem.
When I tried the R script, I got the following Error. This error
results from input data file exported through a Excel spreadsheet
software.
Error in
7 matches
Mail list logo
