search for: blockrand

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, id.prefix='M', block.prefix='M',stratum='Male') female <- blockrand(n=100,...

This is to announce an updated version of the blockrand package has been uploaded to CRAN. The blockrand package is used for creating randomizations for clinical trials or other studies where random assignments are made one at a time. It implements the ideas of randomizing within blocks so that the numbers of subjects in each group remain fairly balanc...

This is to announce an updated version of the blockrand package has been uploaded to CRAN. The blockrand package is used for creating randomizations for clinical trials or other studies where random assignments are made one at a time. It implements the ideas of randomizing within blocks so that the numbers of subjects in each group remain fairly balanc...

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

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 bal...

...ral + healthy urban + sick urban + healthy The status of where we are in each block for each study will need to be stored somewhere. Returned value Study Arm: dichotomous Intervention / Control There might be some code that helps do this in R already. http://rss.acs.unt.edu/Rdoc/library/blockrand/html/blockrand.package.html http://docs.google.com/viewer?a=v&q=cache:BnSasjcO0xQJ:personality-project.org/revelle/syllabi/205/block.randomization.pdf+r+block+randomization&hl=en&gl=us&pid=bl&srcid=ADGEESj9HQShWGzlfTJZOQQdCyohIcLV8HptDj8JZqsXbzDIZLUM6J3BDe6dpTsw95JcG6QDeiPn T...

Can anyone recommend a package that can be used to randomize subjects? I am looking for a generalized package, or several packages that can accomplish unrestricted randomization (i.e. simple random assignment) restricted randomization including stratified randomization, blocked randomization, and adaptive randomization. Thanks, John John David Sorkin M.D., Ph.D. Chief, Biostatistics and

Hi, all, (sessionInfo at the end) I've been struggling with the tcltk package and can't seem to get the ttkcombobox to work. Here's an example: library(tcltk) p <- tktoplevel() l <- tclVar() ## I don't know if I'm even calling it correctly cb <- ttkcombobox(p, values = letters[1:4], textvariable = l) tkpack(cb) 1. How do I know when the value of the combobox has

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