similar to: Specifying an appropriate error term in a hierarchical regression

This may be an FAQ, but a (perfunctory) search failed to turn it up. Suppose I have a function foo(...){<something>} and I want to obtain, inside foo, the names of items comprising the ``...''. E.g. if I call foo(melvin,clyde,irving) I want to be able to loop through the ``...'' and successively obtain the text strings "melvin", "clyde", and

I have 2 questions on ANOVA with 1 between subjects factor and 2 within factors. 1. I am confused on how to do the analysis with aov because I have seen two examples on the web with different solutions. a) Jon Baron (http://www.psych.upenn.edu/~baron/rpsych/rpsych.html) does 6.8.5 Example 5: Stevens pp. 468 - 474 (one between, two within) between: gp within: drug, dose aov(effect ~ gp * drug *

For those new to this list, I point out that Yuelin Li and I have drafted an introduction to R for psychology, trying to emphasize the things the psychologists usually do. It is at http://www.psych.upenn.edu/~baron/rpsych.pdf and http://www.psych.upenn.edu/~baron/rpsych.htm Because it is a draft, with frequent changes, we have not yet asked for it to be placed in the CRAN page. We welcome

With all the mess that my email has become, it makes sense for me to try to make use of Sieve, but I'm having quite the time finding out how to make it work. I'm running 1.0.13 on a Debian machine. Sieve appears to be compiled with it. I can access managesieve, and I have set up dovecot.conf with lda. I do not get a NO response when I PUTSCRIPI, but LISTSCRIPTS produces no result, so I

> > Of course, to be fair, there may have been a *reason* for not doing it > that way before.... > Between the early 1990's and early 2000's the price of a GB of memory went from ~$100,000 to ~$1000*. I guess a lot of the design decisions made for things like init were focussed on this. In 1995 is was common for server platforms to have 32Mb ram whereas the kernel alone in my

Dear Prof. Baron, thankyou for your pdf paper on using R, at http://www.psych.upenn.edu/~baron/rpsych.pdf I am currently interested in the sphericity notes on pp. 45-47. The equation on p. 46 suggests the following R calculation: D <- k^2 * ( mean(diag(S)) - mean(S) )^2 while the notes in the pdf indicate the following: D <- k^2 * ( mean(S) - mean(diag(S)) )^2 Can you please consider

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

Hi, I'm running a repeated measure ANOVA to test the effects of the within-subjects factors "congr", "isi" and their interaction, on the variable "latencies" aov(latencies ~ congr*isi + Error(subj/(congr*isi)),data=dats) "congr" has 4 levels, while "isi" has "3" levels. I would like to check for possible violations of the

With respect to calculating the epsilon index of sphericity for ANOVA, discussed on pp. 45-47 of: http://www.psych.upenn.edu/~baron/rpsych.pdf It notes that epsilon is not required for a repeated measures design with only k=2 levels, as the minimum value of epsilon (e) is given by: e = 1/(k-1) so for k=2, we have e = 1 (ie, no correction of the F test df; see p. 46). These notes apply to a

A while ago I asked about data management approaches in R. I was asked by several people to post a summary of the responses and alas I am just getting around to doing it. I received several comments, both on and off list. Below is a compilation of these responses. Hope this is as helpful to others as it was to me. Best, Brett 1. Frank Harrell recommended a section, "Operating in

Dear R Masters, I'm an anesthesiology resident trying to make his way through basic statistics. Recently I have been confronted with longitudinal data in a treatment vs. control analysis. My dataframe is in the form of: subj | group | baseline | time | outcome (long) or subj | group | baseline | time1 |...| time6 | (wide) The measured variable is a continuous one. The null hypothesis in

We now have a draft of: Notes on the use of R for psychology experiments and questionnaires by Jonathan Baron and Yuelin Li at http://www.psych.upenn.edu/~baron/rpsych.htm and http://www.psych.upenn.edu/~baron/rpsych.pdf and http://www.psych.upenn.edu/~baron/rpsych.tex It is intended for students and others who are doing research in psychology. What makes it "for psychology" is that

Dear all: I am totally new to R, actually, statistics software.I get two very simple, even stupid question: 1) where I should put the data file in order to use it , I tried to build a work dir in library( package:base) and save the text file (data) there, then, I use read.table(filename), not work; I tried the full path, still not work. I must have done something wrong. 2) is it possible to create

In Baron and Li's "Notes on the use of R for psychology experiments and questionnaires" http://cran.r-project.org/doc/contrib/rpsych.htm they describe a balanced data set for a drug experiment: "... a test of drug treatment effect by one between-subject factor: group (two groups of 8 subjects each) and two within-subject factors: drug (2 levels) and dose (3 levels). "

Hi all, I've been reading about aov() at http://www.psych.upenn.edu/~baron/rpsych/rpsych.html and http://davidmlane.com/hyperstat/intro_ANOVA.html and I try to use this test in experiments with my simulator. What I would like Anova to tell me is whether the differences I see when plotting the means of performance per method are significant. And also, whether this is dependent on the problem

Dear R people: I wish to switch from SPSS to R, but there is one particular type of ANOVA design that cannot be done in R. Or more likely, it can be done, but it is nowhere documented. The problem is typical for psychologists: You have a repeated measures design with different groups of subjects. Now, this can be done with the aov command, but the number of subjects in both groups must be

Hello, I have climatic data of various years with many missing values. I would like to know what tools in R are most suited to estimate this missing values. (New in R and quite new on statistics). Thanks, G

Hi, we are just about to evaluate R as a standard statistics package for our institute. We looked around the help - manual, the FAQ, etc. and did not find anything for the topics of random factors in ANOVA, repeated measures in ANOVA, or within subjects designs in R. Could anyone point us to any information concerning - univariate approach to repeated measures anova - multivariate

On Wed, April 12, 2017 8:07 am, Alice Wonder wrote: > On 04/12/2017 05:59 AM, Leroy Tennison wrote: >> <humor for the day>Why don't we discuss something ***less*** >> controversial, like politics or religion?</humor for the day> >> > > Even when I'm the one complaining (and I don't about systemd), I'm > always reminded of some TV clip I saw

Andrew Holway wrote: >> >> Of course, to be fair, there may have been a *reason* for not doing it >> that way before.... >> > Between the early 1990's and early 2000's the price of a GB of memory went > from ~$100,000 to ~$1000*. I guess a lot of the design decisions made for > things like init were focussed on this. In 1995 is was common for server >