similar to: Repeated measures ANOVA

Dear Gideon Unless you are willing to accept uncorrelated measures in time and homogeneity of variance I would go for a linear mixed model instead. You might be surprised on how diffrent can be your results. Try; >?lme I hope that this helps Francisco >From: GIDEON WASSERBERG <wasserberg at wisc.edu> >To: "R-help at lists.R-project.org" <R-help at

I am looking for a manual(s) or any kind of documentation, at the introductory level, regarding matrix algebra (specifically, matrix population models). Any help will be highly appreciated Gideon Gideon Wasserberg (Ph.D.) Wildlife research unit, Department of wildlife ecology, University of Wisconsin 218 Russell labs, 1630 Linden dr., Madison, Wisconsin 53706, USA. Tel.:608 265 2130, Fax: 608

Dear Friends I have a technical question about conducting 2 way repeated measures ANOVA analysis using R. 1. Data set: repeated measurement of activity over night (2 hr. intervals) repeated (within subject)factor: Hours Between subject: Species, Sex Dependent variables: specimens Here is how the data arranged for the analysis: Subject Replicate Hour Sp. Specimens 1 1 1 a 2 1 1 a

hi! I apologize in advance if this is a newbie dumm question, but I really can't figure it ou. I have lists of sumeric and character data on some URLs, which look like this: <photo id="5876248819" owner="13716719 at N04" secret="faf9bb7f52" server="5264" farm="6" title="our rose garden" ispublic="1"

Hi R Users, I do have very big data sets and wanted to run some of the analyses many times with randomization (1000 times). I have done the analysis using an example data but it need to be done with randomized data (1000 times). I am doing manually for 10000 times but taking so much time, I wonder whether it is possible to perform the analysis with creating a loop for many replicated datasets?

Hi all. I have a re-occuring typical problem that I don't know how to solve efficiently. The situation is the following: I have a number of data-sets (A,B,C,...) , consisting of an identifier (e.g. 11,12,13,...,20) and a measurement (e.g. in the range 100-120). I want to compile a large table, with all availabe identifiers in all data-sets in the rows, and a column for every

Hi, R 2.5.0 isn't auto-completing paths properly as it used to. E.g. suppose I have: > dir("CEL/choe") [1] "chipC-rep1.CEL" "chipC-rep2.CEL" "chipC-rep3.CEL" "chipS-rep1.CEL" [5] "chipS-rep2.CEL" "chipS-rep3.CEL" Now if I do: ReadAffy("CEL/choe/ch<tab> # => ReadAffy("CEL/choe/chip

Hi, I have sort of a newbie question. I've seriously put a lot of effort into how to handle simple replicates in a repeated ANOVA design, but haven't had much luck. I really liked reading "Notes on the use of R for psychology experiments and questionnaires", by Jonathan Baron and Yuelin Li ( http://www.psych.upenn.edu/~baron/rpsych/rpsych.html ) but still didn't run across

Dear all, This relatively routine analysis has left me frustrated and in a rut. I have a dataset (data1), which I subset in order to remove rows where HabitatDensity="Med". This dataset looks correct when I call it up, however, when I create a table out of the new subset (data2), my table continues to show the "Med" information as 0. This is a problem because I need a

Hi all, I have a rather peculiar dataset that I'm not sure how to model properly. This is data from an instrument that measures the size of particles but instead of giving a continuous value, it generates a "histogram" of the counts for a particular bin size. So the data looks like this: Condition 1 Condition 2 Dimension Rep1.A Rep1.B

Dear friends, I have a data set with 23 columns and 38000 rows. It is a panel running from the years 1991 through 2005. I want to aggregate the data and get the medians of each of the 23 columns for each of the years. In other words my output should be like this Year Median 1991 123 1992 145 1993 132 etc. The sample lines of code to do this operation is set1 <-

Hey While trying to get some svg files of the CentOS logo I found that [1] can't load the images. The urls are : http://gideon.nyarna.com/artwork/centos-new-2.png http://gideon.nyarna.com/artwork/centos-logo-3.png http://files.squirtgun.ca//CentOS/images/logos/centosLogoRound_v001.jpg Maybe someone can fix this. [1] http://wiki.centos.org/ArtWork/Logo Cheers Didi ---- My www page:

I am trying to merge two data frames, but one of the column headings are different in the two frames. How can I rjoin or rbind the tho frames? Johnny # Generate 2 blocks by confounding on abc d1 <- conf.design(c(1,1,1), p=2, block.name="blk", treatment.names = c("A","B","C")) d2 <- conf.design(c(1,1,1), p=2, block.name="blk",

I'm stopped at a browser in a loop where the following objects look like this: Browse[1]> jk [1] 1 Browse[1]> leg.ab[jk] [1] "Snails Rep1" Browse[1]> top.k [1] "LT95=7.5; LT99=8.8" I can join them and a few other characters together like this easily enough: Browse[1]> paste(jk, ": ", leg.ab[jk], " [", top.k, "]", sep =

Hello, Banging my head against a wall here ... can anyone light the way to a pattern modification that would make the following TRUE? identical( grep( "^Intensity\\s[^HL]", c("Intensity","Intensity L", "Intensity H", "Intensity Rep1")), as.integer(c(1,4))) Thank you for your time. Sincerely, Joh

Hi, Does anyone use spgrass6 with GRASS 7 and R? The documentation for spgrass6 states it is for GRASS6+, and if I recall correctly I saw Dr. Bivand mention that it works well with GRASS7. (There were some threads from 2009 where spgrass6 wasn't working with GRASS7 yet, but I assumed that information was out of date.) So I figured I was doing something wrong with the library and package

Release of revised version of R/GRASS GIS raster and sites data interface. The latest version of the R contributed package "GRASS", release 0.1-6, may be downloaded from CRAN (cran.r-project.org) - contributed packaged section, "Devel" directory, file: GRASS_0.1-6.tar.gz. It may also be downloaded from ftp://reclus.nhh.no/pub/R/GRASS_0.1-6.tar.gz. This version is intended for

Earl F. Glynn asks: > -----Original Message----- > From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Earl F. Glynn > Sent: Tuesday, 15 August 2006 8:44 AM > To: r-help at stat.math.ethz.ch > Subject: [R] Help with workaround for: Function '`[`' is not in thederivatives table > > # This works fine: > > a <- 1

Hi, I'm running R 2.0 installed from the source port on FreeBSd 4.10 and I'm having trouble installing the GRASS package. Following is the procedure plus errors: > options(CRAN="http://cran.us.r-project.org") > install.packages("GRASS") <download snipped> downloaded 186Kb * Installing *source* package 'GRASS' ... ** libs cc

Hello all, I'm having troubles getting R to load data from GRASS 7. I suspect I have installed something wrong, but can't figure out what. Any suggestions for what I could look for or how to trouble shoot this? Thanks in advance for any help! After having other issues last week, we have upgraded Debian to the testing version. The other problems are solved, but now I can't get