similar to: Re: [R-SIG-Mac] morley object?

<URL: http://finzi.psych.upenn.edu/R/library/datasets/html/morley.html > "The classical data of Michaelson and Morley on the speed of light" Can you provide more information about the data? How were they obtained, etc.? I do not have the book "Genstat Primer" and the nearest location where it is available is University of York which is rather far from my location.

Hi, I am sorry to say, I do not know where the 'morley.dat' is that is mentioned as the sample data for the sample session on page 80 of Appendix A in the Introduction to R book. If you could get back to me soon about that would be great! Then I can prepare my next question, steve __________________________________________________ Do You Yahoo!? Send online invitations with Yahoo!

I am having what I think is a strange problem with applying TukeyHSD to an aov fit with error strata. TukeyHSD is supposed to take "A fitted model object, usually an 'aov' fit." aov (with error strata) is supposed to generate an object of type aovlist, which is a list of objects of type aov. But I can't seem to feed components of my aovlist to TukeyHSD. I guess I

"An Introduction to R", Venables and Smith, Version 1.6.2 (2003-01-10) http://cran.r-project.org/doc/manuals/R-intro.pdf has in its "Appendix A: A sample session", page 81, file.show("morley.tab") I get the response NO FILE morley.tab The following "Introduction to the R Project for Statistical Computing" www.itc.nl/~rossiter/teach/sstat14/

"An Introduction to R" has a sample session in the appendix. One of the examples looks at the Michaelson and Morley experiment to measure the speed of light and starts with "file.show("morley.data")". Where does one find this data table? Hans Peter -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hello All, I have a question regarding how glmmPQL should be specified. Which of these two is correct? summary(fm.3 <- glmmPQL(cbind(response, 100 - response) ~ expt, data = data.1, random = ~ 1 | subject, family = binomial)) summary(fm.4 <- glmmPQL(response ~ expt, data = data.2, random = ~ 1 | subject, family =

I have a data set with the following structure (with many more obs.): var1 expt day diameter 1 1 2 0.5 1 1 3 0.9 1 1 4 1.3 1 1 5 1.7 1 2 2 0.3 1 2 3 0.5 1 2 4 0.9 1 2 5 1.6 2 1 2 0.7 2 1 3 1.2 2 1 4 1.6 2 1 5 2.3 2 2 2 0.4 2 2 3 0.8 2 2 4 1.6 2 2 5 3.2 I can get separate regression analysis for each level of var1 and expt with the command: by(data3, data3$var1:data3$expt, function(x)

Hi, I'd like to normalize a dataset by dividing each row by the first row. Very simple, right? I tried this: > expt.fluor X1 X2 X3 1 124 120 134 2 165 163 174 3 52 51 43 4 179 171 166 5 239 238 235 >first.row <- expt.fluor[1,] > normed <- apply(expt.fluor, 1, function(r) {r / first.row}) >normed [[1]] X1 X2 X3 1 1 1 1 [[2]] X1 X2 X3 1

Hello! I was reading R-intro and I have some suggestions: R-intro.html#A-sample-session rm(fm, fm1, lrf, x, dummy) suggestion rm(fm, fm1, lrf, x, y, w, dummy) The next section will look at data from the classical experiment of Michaelson and Morley to measure the speed of light. file.show("morley.tab") mm <- read.table("morley.tab") suggestion mm <- data(morley)

Full_Name: Chris Yager Version: rm162 OS: Mac OS 9.2.2 Submission from: (NULL) (67.117.145.197) As a new user I was running A sample session from Appendix A of An Introduction to R. 'mm<-read.table("morley.tab")' failed. Note that the prior command, 'file.show("morley.tab")', succeeded. Problem does NOT occur in version rm161. NO other bug

I have written some programs in Common Lisp and I have been using SAS to pipe those programs to my lisp compiler in batch mode by using the %xlog and %xlst SAS commands. I wonder if there is in R a similar way to pipe commands to LISP so that all my work would be concentrated in R even when I have to call a LISP program? I have looked at the foreign library but this seems to adjust data types not

G'day, My problem is I'm not sure how to extract effect sizes from a nonlinear regression model with a significant interaction term. My data sets are multiple measurements of force response to an agonist with two superimposed treatments each having two levels. This is very similar to the Ludbrook example in Venables and Ripley. The experiment is that a muscle is exposed to an agonist

The Asterisk Development Team has announced the release of Asterisk 13.6.0. This release is available for immediate download at http://downloads.asterisk.org/pub/telephony/asterisk The release of Asterisk 13.6.0 resolves several issues reported by the community and would have not been possible without your participation. Thank you! The following are the issues resolved in this release: New

I will be out of the office starting 10/15/2010 and will not return until 11/01/2010. for urgent matter, please contact: Scott Morley (scott.morley at agfa.com) or Don Dennison (don.dennison at agfa.com) I will not be replying to any messages until I return. Have a great day! -------------- next part -------------- An HTML attachment was scrubbed... URL:

Full_Name: Steffen Version: 2-5-0 OS: Windows Submission from: (NULL) (192.124.243.162) Hi, the R CMD build script is using if($WINDOWS) { ## workaround for paths in Cygwin tar $filepath =~ s+^([A-Za-z]):+/cygdrive/\1+; } which does not work if the build environment is a MINGW. I have added the patch below, Yours, Steffen $ diff -u build build.orig --- build

Hi: I'm trying to do the sample session listed in Appendix A of the "Introduction to R" manual from: http://cran.R-project.org/manuals.html I've already downloaded R-1.5.1.tgz from: http://cran.r-project.org/ The problem is I can't find the file "morley.tab" which I need to start the sample session (as stated in the manual). Do you know where I can find it?

Gday, This is a repost since I only had one direct reply and I remain mystified- This may be stupidity on my part but it may not be so simple. In brief, my problem is I'm not sure how to extract parameter values/effect sizes from a nonlinear regression model with a significant interaction term. My data sets are dose response curves (force and dose) for muscle that also have two

I am trying to do Tukey HSD comparisons on a repeated measures expt. I found the following example on r-help and quoted approvingly elsewhere. It is broken. Can anyone please tell me how to get it to work? I am using R 2.4.1. > require(MASS) ## for oats data set > require(nlme) ## for lme() > require(multcomp) ## for multiple comparison stuff > Aov.mod <- aov(Y ~ N + V +

The Asterisk Development Team has announced the release of Certified Asterisk 13.8-cert1. This release is available for immediate download at http://downloads.asterisk.org/pub/telephony/certified-asterisk The release of Certified Asterisk 13.8-cert1 resolves several issues reported by the community and would have not been possible without your participation. Thank you! The following are the

The following is a patch (svn diff) for the R CMD build script that calculates exclude patterns after the tar/untar step rather than before. The perl find() function, used in the calculation of the exclude patterns, ignores symlinks, which meant that directory symlinks were not considered for exclusion. Since the tar/untar step resolves (copies) symlinks, this works around that limitation.