search for: cuttoff

...class relatively low, 28 in class 1 and 9 in class 2. I'd really like to use R environment to analyze this data, however I'm finding it difficult to put much trust in the results of my analysis. As you've stated, the classwt variables do not do much, and I've tried working with the cuttoff and sampsize variables as well, with limited success in balancing error rates between the two classes. It was unclear to me how to use the cuttoff parameter correctly. If you have any recommendations here, it would be appreciated. Additionally with the sampsize variable, I have tried a few value...

Hi, I used GOstats to perform enrichment test on a set of genes (20). There are 7 GO terms with pvalue less than cuttoff and therefore shown in the result table. How can I get the information that which gene in the input gene set belong to which GO term of these enriched GO terms? Thanks for any comments. best, Tim [[alternative HTML version deleted]]

...utside of Oggenc. Well, I got it, and am totally lost (It's way more complicated than SOX) so now can anyone briefly describe what type of filter I should set up (FIR, IIR, all-pole), why one is better than the other, and if you have filter coefficient files lying around (lowpass, 19 or 20 kHz cuttoff) PLS forward them. I'd like a 19kHz 'brick wall' cuttoff with no ripple in the passband. : ) >From my undergrad engineering work I vaguely remember about 'too steep a cutoff gives you a lot of ripple in the passband', and other such design homilies about RC filters. What I...

Hi, I have a data.frame with 294 columns and 211 rows. I am calculating correlations between all pairs of columns (excluding column 1) and based on these correlation values I delete one column from any pair that shows a R^2 greater than a cuttoff value. (Rather than directly delete the column all I do is store the column number, and do the deletion later) The code I am using is: ndesc <- length(names(data)); for (i in 2:(ndesc-1)) { for (j in (i+1):ndesc) { if (i %in% drop || j %in% drop) next;...

Hi, List, I used the following codes to generate ps plots but foo.ps contains nothing. Would someone please point out what is wrong with my codes? Thanks a million! postscript('foo.ps') par(mfrow=c(2,1)) par(mfg=c(1,1)) hist(rnorm(100),col='blue') par(mfrow=c(2,2)) par(mfg=c(2,1)) hist(rnorm(50),col='blue') par(mfg=c(2,2)) hist(rnorm(60),col='blue') dev.off()