Displaying 8 results from an estimated 8 matches for "linearregression".
2007 Dec 05
1
confidence intervals for y predicted in non linearregression
.... Also tried in MacOSX, and no success too.
_____
De: Ndoye Souleymane [mailto:ndoye_p@hotmail.com]
Enviado el: miércoles, 05 de diciembre de 2007 13:38
Para: bady@univ-lyon1.fr; Florencio González
CC: r-help@stat.math.ethz.ch
Asunto: RE: [R] confidence intervals for y predicted in non linearregression
Hi, Salut,
You should use the package nsl2 (only for Linux distribution)
Vous pouvez utiliser le package nls2 (Linux seulement)
Regards,
Souleymane
> Date: Tue, 4 Dec 2007 16:07:57 +0100
> From: bady@univ-lyon1.fr
> To: florencio.gonzalez@GI.IEO.ES
> CC: r-help@stat.math.ethz...
2011 Oct 31
1
Error in dim(data) <- dim : attempt to set an attribute on NULL.
...ion.
some time i'm getting the error
Error in dim(data) <- dim : attempt to set an attribute on NULL.
But when i restart my R studio, then it runs.
Please help to resolve this problem.
My code looks like
dataset <- read.csv("C:/data/data1.csv")
formula12= "Y~X1+X2"
LinearRegression <- lm(formula=formula12,data=dataset, singular.ok=TRUE)
vif(LinearRegression)
Please help me to solve this issue
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2003 Dec 23
3
question: DLL or EXE from R procedures
Hi,
I wonder if it is possible to create an DLL or EXE file performing R procedures. Instead of running R, reading data and calling some procedures, I would like to use R functions in the following way: "C:\linearRegression.exe data.txt" which would produce let's say file "output.txt" with the results. Is there some way how to do it?
Thanks a lot. Pavel Vanecek
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2008 Feb 05
2
Maximum number of variables allowed in a multiple linear regression model
Hi,
I appreciate it if someone can confirm the maximum number of variables
allowed in a multiple linear regression model. Currently, I am looking for
a software with the capacity of handling approximately 3,000 variables. I
am using Excel to process the results. Any information for processing a
matrix from Excel with hundreds to thousands of variables will helpful.
Best Regards,
Michelle
2009 Nov 25
0
predict(): NoSuchMethodError
...for almost all cases, but then errors out on a case that
seems like it should work the same.
This is the line of code that is giving me the problem:
NewClusterData[j,att] <- predict(cl,newdata = ClusterData[j,],type="class")
Here is the code for the arguments:
algName <- "LinearRegression"
Formula <- as.formula(paste(as.name(att), " ~ ", paste(otherAtts, collapse=
"+")))
myAlg <- get(algName)
cl <- myAlg(Formula, data = Data)
And this is the error I'm getting:
Error in .jnew("weka/core/Attribute", attname[i]) :
java.lang.NoSuchMetho...
2023 Jan 10
1
rhub vs. CRAN fedora-*-devel, using armadillo & slapack
...9;) call in the tests/testthat.R, which isn't
precise enough.)
These lines look a bit scary:
tests/testthat/bench-KrigingFit.R:
pack=list.files(file.path("bindings","R"),pattern = ".tar.gz",full.names = T) install.packages(pack,repos=NULL)
tests/testthat/notest-LinearRegression.R:
install.packages(pkgs="rlibkriging_0.7-2.tgz", type="source", repos=NULL)
library(rlibkriging)
I don't think that install.packages does anything besides raising a
warning and letting the test continue (there doesn't seem to be any
.tar.gz files inside the package on...
2023 Jan 10
2
rhub vs. CRAN fedora-*-devel, using armadillo & slapack
Thank you for your answer.
In facts, 10 threads are asked by armadillo for some LinAlg, which backs to two threads as warned. But I cannot imagine this costs so much time just for that...
A deeper analysis of time spent seems to point that a large time was mainly spent on testthat and Rcpp dependencies compilation... But other recent packages depending on these also are not spending so much time.
2011 Jan 22
0
how to call BayesX in R to see the graph
...f what is causing the
> Heteroskedasticity?
Yes. But with only a single variable that shouldn't be too hard to do.
Also in the Breusch-Pagan test you specify a hypothesized functional form
for the variance.
> I'm not familiar with FGLS.
There is a worked example in
demo("Ch-LinearRegression", package = "AER")
The corresponding book has some more details.
hth,
Z
> I plan on adding additional
> independent variables as I get more comfortable with everything.
>
>>
>>> From my reading on this list, it seems like I need to vcovHC.
>>
>>...