search for: nonparameteric

Dear All, I have an issue on memory use in R programming. Here is the brief story: I want to simulate the power of a nonparameteric test and compare it with the existing tests. The basic steps are 1. I need to use Newton method to obtain the nonparametric MLE that involves the inversion of a large matrix (n-by-n matrix, it takes about less than 3 seconds in average to get the MLE. n = sample size) 2. Since the test statistic...

...t code to see how I could make kernel changes, and was sort of daunted by the layers of switch statements and largely undocumented code. I am still rather perplexed by the role of 'degree' as a locfit argument. It makes sense in a local regression, but doesn't seem to make sense in a nonparameteric density estimation (only bandwith and kernel seem approriate). However, degree seems to be related to the smoothness of the fit, just as in regression. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/...

Hi folks, Where can I find document re "how to read anova output"? Google found many of them. But seemingly non of them can explain to me following output:- > tabA = c(5.67, 5.67, 5.55, 5.57) > tabB = c(5.75, 5.47, 5.43, 5.45) > tabC = c(4.74, 4.45, 4.65, 4.94) > tabs = data.frame(tabA, tabB, tabC) > tablets = stack(tabs) > anova(lm(values ~ ind, data =

Thanks to David and Jorge - both of your helpful suggestions got me to the desired endpoint. In case anyone else has this question: I boxplotted my y variable data, but did the "cut" operation on the x variable in order to conserve the order of the y data. I see another suggestion coming in from another user that basically says this. So, my working line of code was: boxplot(count$RPKM

...nuova Alice mail --Forwarded Message Attachment-- From: cuckovic.paik at gmail.com To: r-help at r-project.org Date: Mon, 23 Aug 2010 14:44:56 -0700 Subject: [R] Memory Issue Dear All, I have an issue on memory use in R programming. Here is the brief story: I want to simulate the power of a nonparameteric test and compare it with the existing tests. The basic steps are 1. I need to use Newton method to obtain the nonparametric MLE that involves the inversion of a large matrix (n-by-n matrix, it takes about less than 3 seconds in average to get the MLE. n = sample size) 2. Since the test statistic...