similar to: 2.6.2 RC

Dear All, I am trying to graph a simple scatter plot where the x axis is year and the y axis is a percentage (percentage of infant death). Instead of plotting the raw data, I want to plot summary statistics such as mean and median. Here is the problem: the value range of y is between 0 and 1, but since infant death is a rare event, the mean and median is very low (something like 5%), which shows

Dear All, When I tried to run the following code (taken from the *spdplyr* package vignettes): library(spdplyr) library(maptools) data(wrld_simpl) worldcorner <- wrld_simpl %>% mutate(lon = coordinates(wrld_simpl)[,1], lat = coordinates(wrld_simpl)[,2]) %>% filter(lat < -20, lon > 60) %>% dplyr::select(NAME) I got the following error messages: Error in (function (cl,

Dear All, I have been using Sweave (mainly via the Sweave.sh script) and really like it. I am working a paper (using Sweave, of course) which includes several time-consuming computations, and it gets tedious to re-compile the whoel thing every time I made changes. Then I discover the "cacheSweave" package, which seems the right solution to my problem. I only have on problem. Here is

Dear All, Can anyone give me some hints about how to set starting values for a lmer model? For complicated models like this, good starting values can help the numerical computation and make the model converge faster. Thanks! Shige [[alternative HTML version deleted]]

Dear Colleagues, In the following simple ggplot2 code: -------------------------------- m <- ggplot(d.fig, aes(time, prob)) m + stat_summary(fun.data = "median_hilow", conf.int = .95, geom = "smooth") + facet_wrap(~ Cohort, nrow=1) + coord_cartesian(ylim = c(0, .03)) -------------------------------- Is there a way to replace the y-axis label from "prob" to

Full_Name: Richard Reed Version: 2.6.2 OS: MS Windows XP Pro Submission from: (NULL) (76.121.170.35) Pressing Alt-M+s doesn't search path. It just generates another ">". It does this in "vanilla" too. However, Alt-M+click "list search path" does work. Note that when I press Alt-M (and the "Misc" menu drops down) the second "s" in

Dear All, I am trying to compile&install the package "RGtk2" on my Ubuntu 10.04 box. I did not have problem with earlier versions, but with the new version, I got the following error message : ------------------------------------------------------------------------------------------------- * installing *source* package ?RGtk2? ... checking for pkg-config... /usr/bin/pkg-config

Dear All, I am trying to compile&install the package "RGtk2" on my Ubuntu 10.04 box. I did not have problem with earlier versions, but with the new version, I got the following error message : ------------------------------------------------------------------------------------------------- * installing *source* package ?RGtk2? ... checking for pkg-config... /usr/bin/pkg-config

Dear All, Are there R packages that can estimate survival model with long-term survivors? This is sometimes known as "cure" model or "split-population" model. Thanks. Shige [[alternative HTML version deleted]]

Dear All, Is there a way to present results from multiple models in one LaTeX table? I did some google search and found out that xtable cannot automate this process (https://stat.ethz.ch/pipermail/r-help/2006-August/111174.html), are there other alternatives? What about Design and Hmisc? Thanks. Best, Shige

Full_Name: Lodewijk Bonebakker Version: v2.6.2 OS: Solaris, x86, snv_80 Submission from: (NULL) (192.18.43.225) when I build R in 32-bit mode on my 64-bit OS, R works as expected: R version 2.6.2 (2008-02-08) ... Type 'q()' to quit R. > m <- matrix(ncol=2,c(1:6)) > > m [,1] [,2] [1,] 1 4 [2,] 2 5 [3,] 3 6 > n <- log10(m) > n [,1]

Dear All, With kind help from several friends on the list, I am getting close. Now here are something interesting I just realized: for random effects, lmer reports standard deviation instead of standard error! Is there a hidden option that tells lmer to report standard error of random effects, like most other multilevel or mixed modeling software, so that we can say something like "randome

Dear All, After playing with lmer for couple of days, I have to say that I am amazed! I've been using quite some multilevel/mixed modeling packages, lme4 is a strong candidate for the overall winner, especially for multilevel generzlized linear models. Now go back to my two-level poisson model with cross-classified model. I've been testing various different model specificatios for the

Dear All, I am fitting a simple GAM model using the "gam" function in the "mgcv" package. The only independent variable is a continuous variable representing the time of the event (in year and month) coded so that "0" represents January 1960, "1" represents February 1960, etc. Now when I try to plot the results, my x-axis ranges from "-200" to

Dear friends, there is a serious problem with RODBC on R from 2.6.2 to 2.8.0 on a postgresql 8.3 database. Let's say we define an empty dsn called "test", with user "postgres" and password "none". We test the connection with another application, and it works properly. When you call the database using RODBC, you get the following: >

Dear friends, there is a serious problem with RODBC on R from 2.6.2 to 2.8.0 on a postgresql 8.3 database. Let's say we define an empty dsn called "test", with user "postgres" and password "none". We test the connection with another application, and it works properly. When you call the database using RODBC, you get the following: >

Hello all: I am interested in computing what the multilevel modeling literature calls a multiple membership model. More specifically, I am working with a data set involving clients and providers. The clients are the lower-level units who are nested within providers (higher-level). However, this is not nesting in the usual sense, as clients can belong to multple providers, which I understand

Not to be impatient, but something seems odd. The CRAN repository has nothing for Fedora 9. The RPM of R that comes with Fedora 9 is version 2.6.2. Someone connected with the Fedora project must have built that. R 2.7 is not in the "updates" for Fedora 9, so nobody connected with Fedora has done that. However - and this is the odd thing - the "development" repository of

Dear All, I am trying to fiugre out how install packages on the base system. The "FAQ" tells me that more details can be obtained by typing "help(install.packages)", but my R system gives me an error message when I did that. I also tried "help(PACKAGES)", "help(install.packages())", but none worked. Anybody can help? I am running R 1.1.1 on WinNT 4.

Dear All, I am doing a growth modeling using NLME. I have three levels in my data: observation, individual, household. About half of my total sample have missing values in my household-level covariates. Under this situation, the best way to go is probably to multiply impute the data (for, say, 5 times), estimate the same model separately on each model using LME function, and merge the results. My