similar to: Installing binaries from R-Forge

Dear R-project members, I'm a newbie in R and I'm trying to install the "splm" package to analyze spatial panel data. I have the R x64 2.12.0 beta version installed in my computer. When I try to install the package from within R typing ">install.packages("splm", repos="http://R-Forge.R-project.org")", I get the error message "Warning:

splm package is a r implemention of spatial panel data models. and the loglik paremeter is most important infomation for splm methods. but i found the loglik always been null ,it's craze to get right estimation in splm with null loglik. Any one knows the splm package and can get the right loglik ? please help me. thanks -- View this message in context:

Hello, I am using {plm} to estimate panel models. I want to estimate a model that includes fixed effects for time and individual, but has a random individual effect for the coefficient on the independent variable. That is, I would like to estimate the model: Y_it = a_i + a_t + B_i * X_it + e_it Where i denotes individuals, t denotes time, X is my independent variable, and B (beta) is the

Hello, Is there a way to get a single TRUE or FALSE statement from comparing two vectors? For example, c(1,2,3) == c(1,2,3) produces TRUE TRUE TRUE where I would like it to produce only TRUE for use in an if statement. Likewise, when two vectors are not exactly identical (in all elements) I would like a single FALSE result, as opposed to c(1,2,3) == c(1,2,5) TRUE TRUE FALSE Any ideas?

Hello, I'm running a very long for loop that usually takes hours. For my own piece of mind, it would be nice if I could check periodically and see which iteration the loop is on. A line of code that told R to print the iteration number every 100 or 200 iterations would be perfect. Does anyone know something like this? I've never known how to print anything within a for loop before the

Hello, I created an array to hold the results of a series of simulations I'm running: d.eta <- array(0,dim=c(3,3,200)) <simulation goes here and populates the array but it's not important> Then I tried to save the results using this: save(d.eta,file="D:/Simulation Results/sim 9-23-11 deta") When I later tried to reload them using this: d.eta <-

Hello, I'd like to plot an empirical cumulative distribution function, except instead of the fraction of values < x, I'd like the fraction of values > x. I think this can be done using the ecdf function in {Hmisc}. I installed the package and loaded it. However, when following the example given in the documentation, I get an error: x <- rnorm(100) ecdf(x,what='1-F')

Good Morning Everyone, I was going through my list of FTBFS packages today and I fixed all my R packages but 2: qvalue and xtable. qvalue requires ggplot2 xtable requires: lsmeans, spdep, splm, sphet, plm I am not doing any R anymore these days and in fact spot has been the one maintaining most of my R packages these days (thanks spot!!), so I am not really interested in maintaining more R

After copy and pasting the code for installation of glmmADMB package suggested at http://glmmadmb.r-forge.r-project.org/, I receive this message. > install.packages("glmmADMB", repos="http://r-forge.r-project.org",type="source") Warning message: In getDependencies(pkgs, dependencies, available, lib) : package 'glmmADMB' is not available I'm not

Hi, I would like to estimate a VAR of the form: Ay_t = By_t-1 + Cy_t-2 + ... + Dx_t + e_t Where A is a non-diagonal matrix of coefficients, B and C are matricies of coefficients and D is a matrix of coefficients for the exogenous variables. I don't think the package {vars} can do this because I want to include contemporaneous cross-variable impacts. So I want y1_t to affect y2_t and I

Hello, I have a longitudinal dataset where each individual has a different number of entries. Thus, it is of the following structure: x <- runif(12) id.var <- factor(c(rep("D1",4),rep("D2",2),rep("D3",3),rep("D4",3))) dat <- as.data.frame(x) dat$id.var <- id.var dat > dat x id.var 1 0.9611269 D1 2 0.6738606 D1 3

Hello, I'm clearly confused about the merge function. In the following r <- merge(x,y,all.x=T,all.y=F) my y vector has only unique values (no duplicates). So I don't understand how this can ever generate an r which is of greater length than x. I thought the default behavior was only matching rows are included, but that using all.x=T included rows with unmatched x's as well. If

Dear all, I am new here ,I attempted to use R to estimate the spatial Durbin (mixed) model,and mydata is a panel data form,and the matrix is generated by geoda software ,here is my Command and error,really hope your help ,thank you! #??gal library(spdep) w<- read.gal("E:/splm/zj.GAL",override.id=TRUE) ww<-nb2listw(w,zero.policy=TRUE) #???? library(foreign)

Hello, I hate to ask a question which is directly addressed in the documentation, but can someone please give me an example of how to change the maximum number of iterations used by lmer. I'm having a hard time understanding this: control a list of control parameters. See below for details. control a named list of control parameters for the estimation algorithm, specifying only

I'm new to making bubble plots with R, so I was going to try the following: https://stat.ethz.ch/pipermail/r-sig-geo/2009-August/006258.html Unfortunately, it looks like rgdal is not part of 2.14.  I'm not sure if it was the mirror I selected or something else is going on. > install.packages("rgdal") --- Please select a CRAN mirror for use in this session --- Warning

Hello, I'm using dmnorm from the package {mnormt} and getting strange results. First, according to the documentation, dmnorm should return a vector of densities, and I'm only getting one value returned (which is what I would expect). I've been interpreting this as the joint density of all values in the x vector (which is what I want). Should a vector of densities be returned, and if

I am working with the splm package. I use the spgm function: general estimation of a panel data model. Based on this approach, I know it is possible to compute a R2, eg the ratio of variation explained by a given model. My model is : bivmod<-spgm(logIKA~NBLITRE0+NBLITRE1,data=mydatap,listw=comsKnn.nbW,spatial.error=TRUE) I know that we can calculate the R^2 as the variance of the fitted

I am trying to install or load pasilla package on R. i am getting the following error. Please let me know how to install pasilla on R. biocLite("pasilla") Using R version 2.13.2, biocinstall version 2.8.4. Installing Bioconductor version 2.8 packages: [1] "pasilla" Please wait... Installing package(s) into ‘C:/Users/Sridhar/Documents/R/win-library/2.13’ (as ‘lib’ is

I am trying to do a tutorial improvement on the wiki but I am having some problems with the auto formatting. Using httdp.conf produces http://httpd.conf when filtered. Using *.so produces .so and bold text there after. Is there any shorthand for the user for making text appear as it should without the linking and re-writes? Or does the admin have to change the filters in Instiki? Tesla

Hello, A colleague is trying to do a fairly complicated power analysis for a project. The project would be evaluating random assignment to one of three conditions within each of 8 sites. The dependent variable would be binary (we do not care at this point whether it would be analyzed with logit or probit). We can simulate the data in a bunch of iterations and do analyses in each iteration, but