similar to: Package blockrand version 1.1 on CRAN

The package blockrand is now available on CRAN. This package aids in doing block randomizations for clinical trials or other situations where subjects or experimental units arrive over time and need to be randomized one at a time. The block randomization keeps the number of subjects in each arm of the trial fairly balanced. The package also includes a plot function that creates a pdf file of

Hi, I’m new to R (just installed today) and I’m trying to figure out how to do stratified randomisation using it. My google search expedition has lead me to believe that blockrand package will most probably be the answer to it. I’ve played around with blockrand for awhile and tried the sample code: library(blockrand) ##stratified by sex male <- blockrand(n=100,

Hello R people, I am looking to pay someone to help write some R code. Inputs: Study identifier: ID Number for the study, each ID number is for one study only each block set should only be used for that study. This will require that you store the results from the blocks someplace on the file system. Trait #1: dichotomous rural / urban Trait #2: dichotomous sick / healthy Assignment Ratio:

I think SAS Macros has capability to call R, and execute it without it being in the picture anywhere. So you can use SAS Macros in a file called R.sas In this you can create a macro called %Describe that can call R , load Hmisc ,run the describe function Note you will need repeated use of %put in this %describe for the mapping to take place Use %INCLUDE to include that file in all SAS

This is a minor documentation bug. In the document: Writing R Extensions (R-exts) section 1.6.5 (Summary -- converting an existing package) the 3rd bullet is missing the end of the sentence. Thanks, --please do not edit the information below-- Version: platform =3D i386-pc-mingw32 arch =3D i386 os =3D mingw32 system =3D i386, mingw32 status =3D=20 major =3D 2 minor =3D 6.1 year =3D

This is to announce that versio 2.0 of the TeachingDemos package is now on CRAN (and hopefully soon to a mirror near you). This is a major upgrade of the package, some of the improvements include: The package now uses an NAMESPACE so it is easier to load just the parts that you need. Some of the GUI demonstrations now use tkrplot so that the graph is in the same window as the controls (there

This is to announce that versio 2.0 of the TeachingDemos package is now on CRAN (and hopefully soon to a mirror near you). This is a major upgrade of the package, some of the improvements include: The package now uses an NAMESPACE so it is easier to load just the parts that you need. Some of the GUI demonstrations now use tkrplot so that the graph is in the same window as the controls (there

Thank you, Greg, and also to Scott Ellison, who replied privately. I am in the process of trying out both suggestions. After I sent my initial message, I came across the Systemfit package, which allows specification of constraints on parameters. In theory, this should solve my problem perfectly. However, I was not able to get it to work with my data, as every attempt yielded the following

Hi David: If your variables are in a dataframe called DF and the dependent variable is in the first column , you can do below but you probably are well aware of this anyway. lmresults<-lapply(names(DF[,-1],function(.name) { lm(DF[,1] ~ DF[,.name], data=DF) }) This will run through each of the variables in the dataframe and regress the first column on each variable individually. On

Here is a demonstration of behaviour that is probably an optimization by someone far smarter than me that did not anticipate anyone wanting to do this, but for my purposes it looks more like a bug than a feature. I have tested this with R2.6.2 on Windows, no additional packages loaded (beyond the default), I have tested using the default graphics object, pdf, jpeg, and cairoDevice (ok I loaded a

Oh sorry. An example say lots more than words. The data below, when submitted to twoord.plot return the mentioned error. Rain are bars and Salt lines, the bars appear and the error occurs with the salt data. Point Rain Salt Fev/03 365.6 13 Mar/03 235 18 Abr/03 115.1 18 Mai/03 47.4 18.75 Jun/03 112 15 Jul/03 156.8 17 Ago/03 66.1 15 Set/03 149.8 14 Out/03 167,1 11.5 Nov/03 269.3 17.5 Dez/03 283.7

Does anyone know how to change the background color of the script window(s) in Rgui on Windows? I can use the "Gui Preferences" menu item under the Edit menu has an option that lets you change the background color for the console window and any help/info windows that pop up, but the script window(s) still have the white background. Am I missing a setting somewhere? Is this a missing

Hi, I am very new to R. Just started yesterday. I have to generate a sequence of 40 random treatments using permuted block randomization with a block size of 8. Then I have to plot moving averages for the resulting sequence. I have tried the sample function but I dont know if wht i did is right or not > sample(c(1,1,1,1,2,2,2,2),8) Any ideas please? -- Ayesha Khan MS Bioinformatics Dept. of

I have a function in one of my packages that I would like to print using the original source rather than the deparse of the function. The package uses lazy loading and the help page for library (under keep.source) says that keep.source does not apply to packages that use lazy loading and that whether those functions keep the source depends on when they are installed. This package is on R-forge

I have some functions that write an external text file for postprocessing by another program. Some instructions to the other program need to be indicated by null values (\000 or ^@). The function currently uses code like: writeChar(rawToChar(as.raw(0)), con) where con is a connection to the file. Previous to version 2.8.0 this worked fine. With 2.8.0 it still works, but I get a warning

Hi folks, I have a dataset from a trial measuring the subjects' pupils. There are many measurements, all of which must be analysed in a similar fashion; so if I get the analysis right for one of them, I've got them all. For simplicity, let us call any measurement we may be interested as "response". The study design is an unbalanced latin square, with 5 periods, 5 treatments and

I am working with the mcnemar.test function and the help does not show a maintainer/author, but it is part of the stats package. My issue is that I want to use the test on 2 variables with possible values of 0:3, in one of the tests one of the variables does not have any 3's, so to make sure that the matrix is square I do: > x <- factor(x, levels=0:3) > y <- factor(y, levels=0:3)

This problem can be seen by the following commands: > pb <- winProgressBar(max=1000, label='0') > b <- 1 > setWinProgressBar(pb, b, label=b) This set of commands (on windows of course, XP in this case) causes R to crash. This is not strictly a bug since the documentation states that the label argument should be a character string and using as.character(b) does work

I realized earlier this year (2007) that it was in 1987 that I first started using an early version of S (it was ported to VMS and was called success). That means that I have been using some variant of S (to various degrees) for over 20 years now (I don't feel that old). Since things are a bit slow this time of year I thought I would take a few minutes and reminisce on some of the changes

Hi, I have finally installed TeachingDemos trough zip file and installed on lbrary. One new question: I want to draw a line (like abline) on diagonal or the result of running a ols. How can I do it. On the other hand, I want to mark the length on each sub plot y axis. It is possible? My function is sca<-function(){ z2<-read.table("Ase.txt",header=T)