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...uble check with the list to see if there's a computationally efficient solution to the "test all combinations" scheme. Cheers, Mike -- Mike Lawrence Graduate Student Department of Psychology Dalhousie University Looking to arrange a meeting? Check my public calendar: http://tr.im/mikes_public_calendar ~ Certainty is folly... I think. ~

...permit simultaneous plotting of multiple DV's, with each mapped to a row of the plot facets. - see changelog for further changes Enjoy! Mike -- Mike Lawrence Graduate Student Department of Psychology Dalhousie University Looking to arrange a meeting? Check my public calendar: http://tr.im/mikes_public_calendar ~ Certainty is folly... I think. ~ _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages

...permit simultaneous plotting of multiple DV's, with each mapped to a row of the plot facets. - see changelog for further changes Enjoy! Mike -- Mike Lawrence Graduate Student Department of Psychology Dalhousie University Looking to arrange a meeting? Check my public calendar: http://tr.im/mikes_public_calendar ~ Certainty is folly... I think. ~ _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages

Hi all, I wondered whether anyone has some advice on a stats-related 'sanity check', as I ran a nonparametric multivariate test (mulrank function as decribed by R. Wilcox, 2005) on both systems, but got different results (please see below for the system-specific outputs)! The functions I used are attached as well. Any advice would be much appreciated! Thanks in advance for getting back to

Dear R user, I am trying to understand this following code. Basically it's using a permutation method to calculate p value. But I would like to know exactly how the permutation works. #calculates null statistics tt0 <- 0 set.seed(123) B <- 100 for(i in 1:B) { v <- sample(y) tt0 <- c(tt0,ttest(dat,v)$tt) } tt0 <- tt0[-1] #form p-values att <- abs(tt) att0 <- abs(tt0) v

How do you fit a Weibull distribution in R?

Hi all, I'm a newbie R developer, am trying to dotplot a few graphs using a for loop. The following code works fine but once I wanna plot inside a loop, nothing happens. > for(i in 1:1){dotplot(y~x)} > y <- c(1,2,3) > x <- c('a','b','c') > dotplot(y~x) > for (i in 1:3) {dotplot(y~x)} (y and x depends on I in actual case) Nothing happens. I

...be a lot simpler), but having never heard of anything like this before I thought I'd see what others on this list think of the approach. Mike -- Mike Lawrence Graduate Student Department of Psychology Dalhousie University Looking to arrange a meeting? Check my public calendar: http://tr.im/mikes_public_calendar ~ Certainty is folly... I think. ~

Hello ! I have a dataframe with 6 variables (A1,A2,B1,B2,C1,C2) and 1 factor (F). I would like to produce a graph consisting of 3 boxplots sets, one for every two variables (i.e A1 &A2) by the factor (F). I was looking around and I cannot figure it out, any suggestions? Best Regards, Gabriel [[alternative HTML version deleted]]

Hi, there: I have a dataset with 50 states and for each state, I have its associated mean estimate (for some parameters) and the lower and upper bound of the 95% CI. The data look like below: state ami_mean ami_low ami_up 1 MS -0.58630 -0.90720 -0.29580 2 KY -0.48100 -0.75990 -0.19470 3 FL -0.47900 -0.62930 -0.32130 I would like to have a plot the 95% CI (characterized by

Dear All: I am new here. Please, advise how can I reach the R-archives to look through the libraries available for download.   Thanks   Xao Ping R&R Pharmakinetics Taiwan [[alternative HTML version deleted]]

Dear R users, Does anyone know how to write function for Kumaraswamy distribution in R? Since I cannot write dkumar, pkumar, etc. in R. Please help. Thanks a lot, Debbie _________________________________________________________________ [[elided Hotmail spam]] [[alternative HTML version deleted]]

Hello, I'm trying to do a comparsion on a large scale say 10L bottle of liquid and a small scale bottle of liquid 0.5L, I have 5 different samples from each and they are measured over the space of 8 days as % viability and the % viability decreases over time. However not all 10 samples got measured every day. How would I do a two-way anova on this in R? Thanks for any help. Regards, Al

...random effects), but I'm having trouble tacking down instructions on how to do this. Any pointers would be greatly appreciated! Cheers, Mike -- Mike Lawrence Graduate Student Department of Psychology Dalhousie University Looking to arrange a meeting? Check my public calendar: http://tr.im/mikes_public_calendar ~ Certainty is folly... I think. ~

...couldn't find anything in the contributed packages that seemed to suit this purpose. Any pointers would be greatly appreciated! Cheers, Mike -- Mike Lawrence Graduate Student Department of Psychology Dalhousie University Looking to arrange a meeting? Check my public calendar: http://tr.im/mikes_public_calendar ~ Certainty is folly... I think. ~

I have a list of numbers with NAs as below: > A[,1] [1] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA [19] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA [37] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA [55] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA [73] NA NA NA 62 78 98

Hi, In the example dataset below - how can I cahnge "gray20", to "blue" # data black <- rep(c("black","red"),10) gray <- rep(c("gray10","gray20"),10) black_gray <- data.frame(black,gray) # none of this desperate things works # replace(black_gray$gray, gray=="gray20","red") #

All, Can someone help me create a skewed distribution, mean = 30, with probability of selecting a random number from the distribution greater than or equal 60 equal to 10%? I need the probability density function to equal zero at zero, and have a maximum height at or near 30. Is this possible? And if it is possible, how can I adjust the distribution so that the probability of selecting a

Hi, I have: i = c(1,2,3) j = c(4,5,6) How do I create a matrix of all pairs? i.e. 1,4 1,5 1,6 2,4 : Thanks! -- View this message in context: http://www.nabble.com/How-to-create-all-pairs-tp23714659p23714659.html Sent from the R help mailing list archive at Nabble.com.

Hello everyone, I am trying to do within subjects repeated measures anova followed by the test of sphericity (sample dataset below). I am able to get either mixed model or linear model anova and TukeyHSD, but have no luck with Repeated-Measures Assuming Sphericity or Separate Sphericity Tests. I am trying to follow example from "car" package, but it seems that I am not getting something