search for: kernstat

Hi All, I am using the allShortestPath function based on Floyd's algorithm in e1071 package. It runs great when I have less than 5000 nodes. But when I tried to work on more than 5000 nodes, I ran into memory problem. The problem I really want to solve has 10000-15000 nodes. Does anybody know how to deal with this problem? Are there any other packages in R that can handle this problem?

Hi! I'm doing Monte Carlo analyses of the distribution of the t-statistics of the parameters of models evaluated with the lm( ) function. Is there an easy way to recover the t-statistics (similarly to using coef to recover the coefficients)? Thanks, joseph --------------------------------- [[alternative HTML version deleted]]

...method = "Shapiro-Wilk normality test", data.name = DNAME) class(RVAL) <- "htest" return(RVAL) } <environment: namespace:ctest> -- Richard E. Remington III Statistician KERN Statistical Services, Inc. PO Box 1046 Boise, ID 83701 Tel: 208.426.0113 KernStat.com

I want to overlay 50 denisty plots on a single plot. For each plot there are 10,000 data points and i want the empirical density of the data. I have not been able to find an easy way to achieve this (I have scoured the manula and website so sorry if I missed it!), does anyone have any suggestions? Thankyou.

I have been lurking in this list a while and searching in the archives to find out how one learns to write fast R code. One solution seems to be to write part of the code not in R but in C. However after finding a benchmark article (http://www.sciviews.org/other/benchmark.htm) I have been more interested in making the R code itself more efficient. I would like to find more info about this. I have