similar to: Source.R file from cmd line

Hallo! I have a vector of ID's like so, id <- c(1,2,2,3,3,3,4,5,5) I would like to create a [start,stop] pair of vectors that index the first and last observation per ID. For the ID list above, it would look like 1 1 2 3 4 6 7 7 8 9 I haven't worked with indexes/data manipulation much in R, so any pointers would be helpful. Many thanks! ~~~~~~~~~~~~~~~~~~~ -Robin Jeffries Dr.P.H.

Is there an obvious reason why this won't loop to i=2 and beyond? There are many combinations of *st* & *vc* that don't exist in svc. For example, when s=1 there's only an entry at v=1. That's fine, the entry can stay 0. lookup.svc <- array(0,dim=c(length(unique(svc$st)),length(unique(svc$vc))), dimnames=list(unique(svc$st), unique(svc$vc))) for (i in

I must be reading the help file for gc() wrong. I thought it said that gc(verbose=FALSE) will run the garbage collection without printing the Ncells/Vcells summary. However, this is what I get: gc(verbose = FALSE) used (Mb) gc trigger (Mb) max used (Mb) Ncells 267097 14.3 531268 28.4 531268 28.4 Vcells 429302 3.3 20829406 159.0 55923977 426.7 I'm embedding this in an

Simply put, I want to subset the data frame 'a' where 'y=0'. > a <- as.data.frame(cbind(x=1:10, y=c(1,0,NA,1,0,NA,NA,1,1,0))) > a x y 1 1 1 2 2 0 3 3 NA 4 4 1 5 5 0 6 6 NA 7 7 NA 8 8 1 9 9 1 10 10 0 > names(a) [1] "x" "y" > table(a$y) 0 1 3 4 > table(a$y, useNA="always") 0 1 <NA> 3 4

I am trying to print a nice looking vector in Sweave. c <- 1:4 I want to see (1, 2, 3, 4) in TeX. . If I use paste(c, ",", sep="") I get "1," "2," "3," "4," If use cat(c, sep=",") I can't seem to assign it to an object, 1,2,3,4> myvec <- cat(c, sep=",") 1,2,3,4> myvec NULL and if I bypass the

I read somewhere (help list, documentation) that the random effects in lme4 uses sparse matrix "technology". I'd like to confirm with others that I can't use a sparse matrix as a fixed effect? I'm getting an "Invalid type (S4) " error. Thanks. ~~~~~~~~~~~~~~~~~~~ -Robin Jeffries Dr.P.H. Candidate in Biostatistics UCLA School of Public Health rjeffries@ucla.edu

Hello there, I'm still struggling with the *apply commands. I have 5 people with id's from 10 to 14. I have varying amounts (nrep) of repeated outcome (value) measured on them. nrep <- 1:5 id <- rep(c("p1", "p2", "p3", "p4", "p5"), nrep) value <- rnorm(length(id)) I want to create a new vector that contains the sum of the

What does missInfo compute and how is it computed? There is only 1 observation missing the ethnic3 variable. There is no other missing data. N=1409 > summary(MIcombine(mod1)) Multiple imputation results: with(rt.imp, glm(G1 ~ stdage + female + as.factor(ethnic3) + u, family = binomial())) MIcombine.default(mod1) results se (lower upper)

Hello, I know of some various methods out there to utilize multiple processors but am not sure what the best solution would be. First some things to note: I'm running dependent simulations, so direct parallel coding is out (multicore, doSnow, etc). I'm on Windows, and don't know C. I don't plan on learning C or any of the *nix languages. My main concern deals with Multiple

I have been through the help file archives a number of times, and still cannot figure out what is wrong. I have a tab-delimited text file. 76Mb, so while it's large.. it's not -that- large. I'm running Win7 x64 w/4G RAM and R 2.10.1 When I open this data in Excel, i have 27 rows and 450932 rows, excluding the first row containing variable names. I am trying to get this into R as a

Hello, I need to plot the means of some outcome for two groups (control vs intervention) over time (discrete) on the same plot, for various subsets such as gender and grade level. What I have been doing is creating all possible subsets first, using the aggregate function to create the means over time, then plotting the means over time (as a simple line plot with both control & intervention

I would like to run a logistic regression on some factor variables (main effects and eventually an interaction) that are very sparse. I have a moderately large dataset, ~100k observations with 1500 factor levels for one variable (x1) and 600 for another (X2), creating ~19000 levels for the interaction (X1:X2). I would like to take advantage of the sparseness in these factors to avoid using GLM.

I know this is a simple question, but I have yet to master the apply statements. Any help would be appreciated. I have a column of probabilities and sample sizes, I would like to create a column of binomial random variables using those corresponding probabilities. Eg. mat = as.matrix(cbind(p=runif(10,0,1), n=rep(1:5))) p n [1,] 0.5093493 1 [2,] 0.4947375 2 [3,]

Hi list! I have prepared a custom function (below) in order to calculate separability indices (Divergence, Bhattacharyya, Jeffries-Matusita, Transformed divergene) between two samples of (spectral land cover) classes. I need help to cross-compare results to verify that it works as expected (since I don't know of any other foss-tool that will give me quickly some results). Does anybody

I can use gdata to successfully read in the example Excel file, but not any other excel files. Why might this be the case? It seems that the problem has something to do with opening the database but no indication as to what the problem is. So i'm at a loss of how to fix it. > library(gdata) gdata: read.xls support for 'XLS' (Excel 97-2004) files ENABLED. gdata: read.xls support

Dear R-helpers, I would like to have my students read into R an online Stata dataset: 'http://www.stat.ucla.edu/projects/datasets/risk_project.dta' I was able to read it into R after downloading it and converting it with StatTransfer (http://www.stattransfer.com/). Here is what happens when I use read.dta() as I would use read.table(): > require(foreign) > risk2 <-

> Dear Sirs , > Today I've downloaded the last release of the R-Program (I an a novel user). I am interested on performing time series analysys (regression,ARIMA,ARCH) to some data-sets, therefore I would like to use some of the packages of R-Contributors (like the tseries one).When I try to install or update packages from CRAN the following text always appear: > > local({a <-

I have build R-1.6.0 on Jaguar (actually on 10.2.2), using gcc 3.1 from Apple, g77 3.1 from fink, ATLAS from fink. It passes all checks OK. I also re-compiled the 233 packages listed below with the same setup. I have NOT tested all these packages in any detail. A tar.gz file with the whole /usr/local/lib/R will be on ftp://gifi.stat.ucla.edu on Tuesday. It will NOT include anything from fink

With the current version from rsync (8/16, 19:00) I get make[3]: *** No rule to make target `helpsearch.c', needed by `Makefile'. Stop. make[2]: *** [R] Error 1 make[1]: *** [R] Error 1 make: *** [R] Error 1 === Jan de Leeuw; Professor and Chair, UCLA Department of Statistics; Editor: Journal of Multivariate Analysis, Journal of Statistical Software US mail: 9432 Boelter Hall, Box

The file ftp://gifi.stat.ucla.edu/pub/R-1.5.1.dmg has grown to 60 MB. It consists of a meta-package and its packages and it will allow you to install binaries for R-1.5.1 and about 300 packages, just by clicking the R-1.5.1.mpkg file. It also install quite a few dylibs in /sw, but not the ones for X11R6 and gnome yet. You can choose which of the packages to install, of course. The same