similar to: All possible linear models given multiple explaining variables

I have spent a fair amount of time looking for a package that is automated to run glm (binomial) regression models with all possible subsets of my independent variables. Something akin to Lumley's "leaps" package, but can be applied to glms, not just lms; or something similar to Stata's brute force "tryem" function? If anyone can point me in the right direction I

Hello - I need to do simple linear autoregressive model with R software for my thesis. I looked into all your documentation and I am not able to find anything too helpful. Can someone help me with the codes? Thanks Emil [[alternative HTML version deleted]]

Hello, I have a difficulty with the option 'hide unreadable' in the smb.conf regarding to it's effect on my Vista machines. In the smb.conf I have declared the following share: [userdata] path = /data/userdata admin users = domain+adminuser browseable = yes writeable = yes hide unreadable = yes csc policy = disable The

Hi! I've been browsing through the last months' archive and I can't find an answer to my question, so here it is (let's hope it's not too obvious): I'm working on extensions of an R library, and I would be very surprised if everyone developing R packages is doing the following, as I do: 1.- Write down a modification of an R file 2.- Exit the current R

Hi, I have an excel sheet (already imported to R) with multiple columns and I am looking for a way in R that will allow me to generate a plot for every possible pair and its linear regression line/data. Any tip/idea/script how do to so. Thanks, As hz -- View this message in context: http://r.789695.n4.nabble.com/Automated-plot-and-linear-regression-line-data-tp2328027p2328027.html Sent from

Hi I implemented the age-structure model in Gove et al (2002) in R, which is a nonlinear statistical model. However running the model in R was very slow. So Dave Fournier suggested to use the AD Model Builder Software package and helped me implement the model there. ADMB was incredibly fast in running the model: While running the model in R took 5-10 minutes, depending on the

Dear all, After a thorough research, I still find myself unable to find a function that does linear regression of 2 vectors of data using the "total least squares", also called "orthogonal regression" (see : http://en.wikipedia.org/wiki/Total_least_squares) instead of the "ordinary least squares" method. Indeed, the "lm" function has a

hi I've used R for many years on windows machines, but have now acquired an Asus eee 1000 linux machine. In order to get the best out of the machine, I used the 'pimpmyeee.sh' script, to get the full KDE desktop. The version of Linux is Xandros, which I believe is a close relative of Debian, but sadly I have only a nodding acquaintance with Linux at present. Naturally I want to

Dear All, the lm() function has the possibility to create a subset of the possible explaining variables that you have. However, in the help there is no example how to use this subset option. I tried the following: model<-lm(dependent.data$MPFD~.,data=explaining.data,subset=c(1,0,0,0,0,0,0,0,1,1,0,0)) MPFD is the dependent variable stored in the data frame dependent.data, and all 12

Hi there, I've got a question which is really trivial for sure but still I have to ask as I'm not making any progress solving it by myself (please be patient with an undergraduate student): I've got a linear model (lm and lmer fitted with method="ML"). Now I want to compare the coefficients (slope, intercept, not the random effects) of both models with a given value (e.g.

Hi, Fitting all possible models (GLM) with 10 predictors will result in loads of (2^10 - 1) models. I want to do that in order to get the importance of variables (having an unbalanced variable design) by summing the up the AIC-weights of models including the same variable, for every variable separately. It's time consuming and annoying to define all possible models by hand. Is there a

Dear All, Does anybody know if there is a functionality in R to break histograms that show a clear bi-modal (or multi-modal) distribution into a series of unimodal histograms that added up result in the original histogram? I was thinking of using QQ-plots (for which tools are available in R), and then observing the number of times the observed quantiles cross the 1:1 line, but this only gives an

>>> What were your biggest misconceptions or >>> stumbling blocks to getting up and running >>> with R? Easy. I terms of materials I have been unable to find good books that introduce users to R from the perspective of someone familiar only with packages like SPSS or STATA, or not familiar with statistics packages at all. Even introduction texts use jargon

I have a data.frame, data, with 30 factor variables. I would like to tabulate the frequencies of each variable and output to a tex file using Sweave. Here is my code chunk: <<label=tab, echo=FALSE, results=tex>>= library(xtable) for(j in 1:30){   cap <- paste("Frequency counts for Q",j,".", sep="")   xtable(t(table(data[,j])),caption=cap) } @

Hi! Can anyone please let me know what numerical integration procedure does the integrate function in package stats follow? Thank you in advance Shant [[alternative HTML version deleted]]

Dear list, making mathematical expressions in plots is not difficult: expression(phi[1]) for example. At this moment I am stuck in creating a vector of expressions: pos <- 1:10 lab <- letters[pos] Now, I would like to create a vector of expressions which I could use for labeling the x-axis of a lattice plot. ll <- as.expression(paste(pos," phi[",lab,"]",sep =

Hi all, I'd appreciate your help with this problem. I need to plot a barplot with the categories in a specific order. My data might be: hours Freq AN 10 MO 14 LU 30 I need the categories to be in the order: MO LU AN Is there some way to pass sort the dataset into this order so that it plots correctly when passed to barplot()? Thanks very much, Richie [[alternative HTML

To whom it may concern We are currently trying to utilize your software on windows. We have downloaded all necessary packages and followed instructions as to how to perform the model. Thus the installation has worked perfectly, however when trying to run the program an error message appears "Converting xls file to csv file... Error in system(cmd, intern = !verbose) : perl not found Error in

I've gotten to the point wih an R script where I would like to encapsulate several blocks of codes in R functions. In order to keep the top level script simple I would like to put them in a separate file. This should help the readability of the top level main script. Is source(...) the best way to load those functions in the top level script? For example, in the top level script Line# 01

Hello, I'm rather new to R and I want to do some image analysis. Is there a way to read jpeg files into a matrix like matlab's imread? -- View this message in context: http://www.nabble.com/Reading-Image-Files-tp24619129p24619129.html Sent from the R help mailing list archive at Nabble.com.