similar to: data.frame and formula classes of aggregate

Dear listers, I have a piece of code which performs an ANOVA type of analysis on 2D GC data. The code is shown below: # ANOVA 2D GC analysis # maxc <- number of samples # nreps <- number of samples maxc <- 2 nreps <- 4 sscl <- NULL cmean <- NULL # # Initial stat. variable # dftot <- nrow(mat)-1 dfcl <- maxc - 1 dferr <- dftot - dfcl totmean

I know that this is not the appropriate place :). You know someone can alternative to gluserfs ?:) -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://supercolony.gluster.org/pipermail/gluster-users/attachments/20090107/63b68a0d/attachment.html>

Dear Members, Even though Gluster team is growing at a steady phase, our aggressive development schedule out phases our resources. We need to expand and also maintain a 1:1 developer / QA engineer ratio. Our major development focus in the next 8 months will be towards: * Large scale regression tests (24/7/365) * Web based monitoring and management * Hot upgrade/add/remove of storage nodes

I've got a list of 5 matrices that are each 5 x 6. I'd like to end up with a 5 x 6 matrix that contains the mean value of the 5 original matrices. I can do this by brute force, but there must be a better way than making each matrix into a vector and then remaking a matrix thanks very much for any help david freedman ll=list(structure(c(9.7, 17.6, 20.8, 24.1, 33.8, 14.5, 25.7, 29.8,

Hi - I'd like to have the area between 2 lines on a x-y plot be filled with grey, but I haven't had any luck using polygon or rect. (In reality, I'd like to do this for twice - once for a low group and once for a high group - and then I'd like to plot a set of data points for a 'normal' group together with these 2 grey areas.) Here's a simple example of the 2 lines:

Hi all! I am trying to develop a plot a figure in which I would like to show the odds ratios obtained from a logistic model. I have tried with the dotplot option but no success. Could you help me? Is there any option when modelling the logistic model in R? Thank you in advance

Dear R, I've got a data frame with children examined multiple times and at various ages. I'm trying to find the first age at which another variable (LDL-Cholesterol) is >= 130 mg/dL; for some children, this may never happen. I can do this with transformBy and ddply, but with 10,000 different children, these functions take some time on my PCs - is there a faster way to do this in R?

Dear R users, I am not asking questions specifically on R, but I know there are many statistical experts here in the R community, so here it goes my questions: Freedman (1982) propose an approximation of sample size/power calculation based on log-rank test using the formula below (This is what nQuery does): (Z(1-?/side)+Z(power))^2*(hazard.ratio+1)^2 N =

Since installing R 2.14.0 on my Mac (a Mac Pro running 10.6.8) an issue has arisen when using the vi editor in conjunction with the edit() command. More specifically, commented lines disappear from edited functions when using [functionname.R] <- edit(). That is, if you have created a function called “test.func” as such: function () { # This is a test ex _ 4 duh <- seq(1, 10) fuh

Dear all, I would like to know whether it is possible to unlist elements and keep the original format of the data. To make it more clear, let me give an exemple: I have a list l of dataframes that I created with apply but which looks like this: x1=data.frame(Name=LETTERS[1:2],Age=1:2) x2=data.frame(Name=LETTERS[3:4],Age=3:4) l=list(x1,x2) l [[1]] Name Age 1 A 1 2 B 2 [[2]] Name

Dear R-help list, I've got a data set in long format - each subject can have several (varying in number) measurements, with each record representing one measurement. I want to assign a sequence number to each measurement, starting at 1 for a person's first measurement. I can do this with the by function, but there must be an easier way. Here's my code - id is id number, age is

Full_Name: Jeffrey M. Freedman Version: 1.4.1 OS: Mac OSX Submission from: (NULL) (169.226.200.51) I'm running R version 1.4.1 (NOT DARWIN VERSION) and it crashes every time I set a working directory (either from the menu or using setwd) to a path that is longer than a certain number of characters. This was not a problem in version 1.3.1. Thank you.

Hi - I'd like to construct and plot the percents by year in a small data set (d) that has values between 1988 and 2007. I'd like to have a breakpoint (buy no discontinuity) at 1996. Is there a better way to do this than in the code below? > d year percent se 1 1988 30.6 0.32 2 1989 31.5 0.31 3 1990 30.9 0.30 4 1991 30.6 0.28 5 1992 29.3 0.25 6 1994 30.3

Greetings, I'm having a problem with something that I think is very simple - I'd like to be able to use the 'sapply' and 'by' functions in 1 function to be able (for example) to get regression coefficients from multiple models by a grouping variable. I think that I'm missing something that is probably obvious to experienced users. Here's a simple (trivial)

Dear helpers. I often need to make dichotomous variables out of continuous ones (yes, I realize the problems with throwing away much of the information), but I then like to check the min and max of each category. I have the following simple code to do this that cuts each variable (x1,x2,x3) at the 90th percentile, and then prints the min and max of each category:

Does the stable version of GlusterFS, GlusterFS 1.3-SUSKE RELEASE, have the High Availably (HA) Translator or is it just in v1.4? John This email was independently scanned for viruses by McAfee anti-virus software and none were found

A small issue, but missing. Something like this would be helpful: - printf ("celtenc (CELT encoder)\n"); + printf ("celtenc (CELT %s encoder)\n", CELT_VERSION); til

Hi yet again! Thank you for being patient with me. Is there a "how to" for ggplot2, please? I would like to look at it, but have no idea where to start, please. Thanks, Edna Bell

Hej! I have the following problem: I would like to do partial correlations on non-parametric data. I checked "pcor" (Computes the partial correlation between two variables given a set of other variables) but I do not know how to change to a Spearman Rank Correlation method [pcor(c("BCDNA","ImProd","A365"),var(PCor))] Here''s a glimpse of

Faraway's book titled "Practical Regression and Anova using R", with full text available online at: http://cran.r-project.org/doc/contrib/Faraway-PRA.pdf refers to a data set, stat500, which compares midterm and final grades. It can be used to illustrate similar concepts. A google search for faraway.zip will locate the actual data. --- Date: Sun, 15 Feb 2004 10:37:08 -0800