Already answered many thanks Frank.
Best Regards
SV
Envoyé de mon iPhone
Le 18 juil. 2015 à 20:39, varin sacha varinsa...@yahoo.fr a écrit :
Thanks Frank for your response.
I have used the rms package.
Reproducible example here below :
install.packages(rms)
library(rms)
a=c(tres
Hello everyone, My question is about the rptR package. I am using the
rpt.adj function (for adjusted repeatability).
My model is as follows:
rpt.adj(brifield ~ 1 +
(1|ring)+(1|year),ring,data=bellyfield,datatype=Gaussian)
where brifield is the measurement for which I want to
I tried in vain to execute
R CMD install /Users/hoffmann/R/cwhmisc ('cwhmisc' is the package name)
* installing to library
‘/Library/Frameworks/R.framework/Versions/3.2/Resources/library’
* installing *source* package ‘cwhmisc’ ...
** R
Error : '\' ist eine unbekannte Escape-Sequenz in der
Hi,
If i have a quadratic objective function with a system of linear constraints
for multiple variables, is there any inbuilt function that i can use?
Regards,
Preetam
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On 19/07/2015 6:03 PM, Christian Hoffmann wrote:
I tried in vain to execute
R CMD install /Users/hoffmann/R/cwhmisc ('cwhmisc' is the package name)
* installing to library
‘/Library/Frameworks/R.framework/Versions/3.2/Resources/library’
* installing *source* package ‘cwhmisc’ ...
** R
On 19/07/2015 4:58 PM, Preetam Pal wrote:
Hi,
If i have a quadratic objective function with a system of linear constraints
for multiple variables, is there any inbuilt function that i can use?
Google says the quadprog package should help.
Duncan Murdoch
Dear Arne,
The elements of the theta vector are indeed strictly positive. I've just
tried to use instead : lamda = log (theta), which means that theta = exp
(lamda), so as to get rid of the log() function that appears in the
log-likelihood and is causing the 50 warnings, but still the estimates
Hi R-Help!
I am a newbie in R and computer science in general. I have done the basic
readings of introduction to R and TM packages. I am using R Foundation on a
windows 7 system.
I have been given a project which requires me to search annual reports of 76
companies for multiple key phrases
Dear list,
I have run two ancova models with the same data, one where the covariate Length
was centered by Site (group mean centered), the other with Length not centered.
The package car was used. The models are:
ancova1a - lm(log10(Weight) ~ LenCtd2 + Site, data = Data2); Length centered
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