similar to: novice question regarding R archives

Hi everyone, I'm fairly new to R, and I don't have a background in statistics, so please bear with me. ;-) I'm dealing with 2^k factorial designs, and I was just wondering if there's any way to analyze more than two factors of a gage R&R study in R. For example, Minitab has an "expanded gage R&R" function that lets you include up to eight additional factors

Dear all, I would like to help translate the CentOS 5.3 Release Notes into Chinese. Can you create the Manuals/ReleaseNotes/CentOS5.3/Chinese page? My user name is TimothyLee on the wiki. Regards, Timothy Lee

[I do think this discussion belongs to R-devel rather than anywhere else .. MM] >>>>> "Kurt" == Kurt Hornik <Kurt.Hornik@ci.tuwien.ac.at> writes: >>>>> Peter Dalgaard BSA writes: >> Kurt Hornik <Kurt.Hornik@ci.tuwien.ac.at> writes: KH>>> While trying to write documentation for data.class(), I came

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

Hi all, I suspect the answer to this query will be the tongue-in-cheek "use a quantum computer", but I thought my understanding might be sufficiently limited that I'm missing a simpler option. I'm looking for a way to cycle through all possible combinations of 2 groups of data. For 10 data points, that's 2^10 combinations, for 20 data points it's 2^20, etc. combn() from

The ez package was developed to aid those that are new to statistical programming. Over the course of several years of helping colleagues and students learn R, I observed that folks are often initially turned off R because they have difficulty obtaining SPSS-like results quickly (SPSS is the dominant environment in my field, psychology). ez attempts to fill this gap, providing quick and easy

The ez package was developed to aid those that are new to statistical programming. Over the course of several years of helping colleagues and students learn R, I observed that folks are often initially turned off R because they have difficulty obtaining SPSS-like results quickly (SPSS is the dominant environment in my field, psychology). ez attempts to fill this gap, providing quick and easy

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

How do you fit a Weibull distribution in R?

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 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

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

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

Dear R users, Can anyone please tell me how to generate a large number of samples in R, given certain distribution and size. For example, if I want to generate 1000 samples of size n=100, with a N(0,1) distribution, how should I proceed? (Since I dont want to do "rnorm(100,0,1)" in R for 1000 times) Thanks for help Debbie