[R] permutated p values vs. normal p values

2005-08-16 Thread Steve Adams
Hi, I am performing Cox proportional hazards regression on a microarray dataset with 15000 genes. The p values generated from the Cox regression (based on normal distribution of large sample theory) showed only 2 genes have a p value less than 0.05. However, when I did a permutation on the dataset

[R] error tracing

2005-08-11 Thread Steve Adams
Hi, I am running some Cox modeling on large number of variables (thousands) using apply. For some reasons, some of the variables have problems in Cox regression, so the the run was stopped automatically. Is there a way to keep the running for all the variables to complete and let us, when done, to

[R] parallel computing in R

2005-08-02 Thread Steve Adams
Hi, is there an excellent source of documentation for installation, configuration of R packages (Rmpi,snow,rsprng etc.) for parallel computing on linus system? Thanks __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help

[R] test of hazard ratios

2005-06-27 Thread Steve Adams
Hi, Is there a R test available that tests whether 2 hazard ratios obtained from Cox regressions on the same patient sample by 2 different classifiers are significantly different? Thanks Steve __ R-help@stat.math.ethz.ch mailing list

[R] 2 LDA

2005-06-15 Thread Steve Adams
Hi, I am using Partek for LDA analysis. For a binary response variable, it generates 2 discriminant functions, one for each of the 2 levels of the response variable. And I can simply calculate 2 discriminant scores (say d1 and d2) for each sampples using the 2 discriminant functions, then I can

[R] install package snow

2005-06-08 Thread Steve Adams
Hi, I have difficulty in installing package snow from CRAN. Somehow, this package is not shown up in the available package list when I tried to use the GUI interface. So I have to go to CRAN to download the source file: snow_0.2-1.tar.gz. Then I tried to install it using the following command:

[R] RE: ANOVA with both discreet and continuous variable

2005-04-25 Thread Steve Adams
If the treatment contrast is used, the p value for x1 is testing whether the slope at the reference level of x2 is equal to 0 (think about the model y~x1*x2 as fitting 2 straight lines, one for the reference level of x2, and one for the other level of x2). I am not quite sure about what it tests