similar to: Problem with ANOVA repeated measures: "Error() model is singular"

Full_Name: Joerg Rauh Version: 2.5.0 OS: Windows 2000 Submission from: (NULL) (84.168.226.163) Following Michael J. Crawley "Statistical Computing" on page 9 the worms.txt is required. After downloading it from the book's supporting website, which is http://www.bio.ic.ac.uk/research/mjcraw/statcomp/data/ I visually check the data against the book and they look identical. Then I do

hi folks, in my (unlucky) first test of ogg vs other encoders, i found a case where wma and mp3pro sound much better than ogg at 64k. can anyone suggest a setting that i haven't tried yet that can rival the wma and mp3pro samples at 64k? it's the "gravel effect" that is troublesome. the part in question is the first 15 seconds of this wave file:

Hello, I have somewhat of a weird data set and am attempting to create a barplot with it. I have 8 columns with different variables and their percentages. I have 1 column with representations of 4 different treatments the variables undergo. I also have 1 column with year the data was recorded. I want to create a bar plot that plots all 8 variables grouped by treatment and year. I've tried

o <- (structure(list(sand.silt = structure(list(statistic = structure(185, .Names = "W"), parameter = NULL, p.value = 0.0478835773838087, null.value = structure(0, .Names = "location shift"), alternative = "two.sided", method = "Wilcoxon rank sum test with continuity correction", data.name = ".column by site"), .Names =

Hi I am having difficulty interpretive the multiple regression output. I would like to know what it means when one of the factors is assigned as the intercept? In my data I am looking at the relationship between environmental parameters and biological production. One of my variables in the analysis is substratum type and gravel is identified as the intercept and the P-value is significant,...

I would like to preform a t.test to each of the measured variables (sand.silt etc.) with a mean and sd for each of the treatments (up or down), and out put this as a table.... I am having a hard time starting- maybe it is to close to lunch. Any suggestions would be greatly appreciated. Stephen Sefick x <- (structure(list(sample. = structure(c(1L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 2L, 3L,

Dear list members, I get the following error when using the glht function to perform a post hoc analysis for an ANOVA with repeated measures: require(nlme) lme_H2H_musicians = lme(H2H ~ Emotion*Material, data=musicians, random = ~1|Subject) require(multcomp) summary(glht(lme_H2H_musicians, linfct=mcp(Type = "Tukey")), test = adjusted(type = "bonferroni")) Error in

Hello everybody, problem solved, there was a typo. I wrote Type instead of Material Best ----Messaggio originale---- Da: angelo.arcadi@virgilio.it Data: 22-giu-2012 11.05 A: <r-help@r-project.org> Ogg: Error with glht function: Error in mcp2matrix(model, linfct = linfct) : Variable(s) 'Type' have been specified in 'linfct' but cannot be found in 'model'!

Dear R-list members, I need an help with the Multidimensional Scaling analysis (MDS). So far I used the cmdscale() command in R, but I did not get the perceptual map I would love to see, and I would like to know if it is possible to get it using R, and if yes how. I also had a look to the functions isoMDS() and sammoc() but with no luck. I summarize the experiment I performed, and I would ask you

Hi, I have a somewhat complicated relationship question. I''ve been banging my head about this for some time and have given in and decided to ask the list :) Here''s what I''m trying to achieve: Products can have variants. For example, a t-shirt could come in small, medium and large, but also black, green and blue in the first two sizes, but only blue in large.

Using icecast 1.3.10 and ices 0.1.0. Read in the archives about adding sleep_ratio 0 to the conf, which I did, with no success. I'm streaming and listening on the same system. However every few seconds there are two quick breaks in the stream, at a very consistent pace. I'm streaming MP3's with this result. No re-encoding done, just straight streaming. I set my bitrate to 160. I think