[R] R: Re: R: RE: Syntax error in using Anova (car package)

and maybe others in future) in understanding and solving the problem. Thank you Best regards Angelo >Messaggio originale >Da: bgunter.4...@gmail.com >Data: 26-nov-2015 3.24 >A: "angelo.arc...@virgilio.it" >Cc: , "r-help@r-project.org" >Ogg: Re: [R]

[R] R: RE: Syntax error in using Anova (car package)

lm(cbind(Stimulus_1.Centroid.repetition1, ., Stimulus_12.Peak. repetition2) ~ Subject, data=scrd) av.ok <- Anova(mod.ok, idata=idata, idesign=~stimulus_type*repetitions) Am I correct? Thanks in advance Best regards Angelo >Messaggio originale >Da: j...@mcmaster.ca

[R] Syntax error in using Anova (car package)

Dear list members, I am getting an error while performing a repeated measures MANOVA using the Anova function of the "car" package. I want to apply it on the results of an experiment involving 19 participants, who were subjected to 36 stimuli, each stimulus was repeated twice for a total of 72

[R] Is manova() correct for this analysis?

Dear list members, I have to perform the following analysis but I do not know which function in R must be used. My guess is to use manova(). During an experiment I presented participants with some sound stimuli and I asked them to modify two parameters of the sound (Centroid and Sound_Level_Pea

[R] R: Re: Question about lme syntax

Dear Prof. Andrew Robinson, I am very grateful to you for your enlightening answer All the best Angelo Messaggio originale Da: a.robin...@ms.unimelb.edu.au Data: 23-nov-2015 20.50 A: "angelo.arc...@virgilio.it" Cc: "R help (r-help@r-project.org)" Ogg: Re: [R

[R] R: RE: How to plot results from lme in presence of a significant interaction

Dear prof. Fox, thank you very much Best regards Angelo >Messaggio originale >Da: j...@mcmaster.ca >Data: 23-nov-2015 12.50 >A: "angelo.arc...@virgilio.it" >Cc: "r-help@r-project.org" >Ogg: RE: [R] How to plot results from lme in presence of a s

[R] Question about lme syntax

Dear list, I need an help to understand the syntax of lme to fit my model according to the analysis I want to perform. My dependent variable resulted from a perceptual experiment in which responses of participants were measured twice for each provided stimulus. My goal is to verify whether the

[R] R: Re: How to plot results from lme in presence of a significant interaction

participants. How this is done in R? Thank you Best regards Angelo >Messaggio originale >Da: bgunter.4...@gmail.com >Data: 22-nov-2015 23.45 >A: "angelo.arc...@virgilio.it" >Cc: "r-help" >Ogg: Re: [R] How to plot results from lme in presence of

[R] How to plot results from lme in presence of a significant interaction

Dear list members, I wonder which is the best way to plot in r the results from the lme function, in presence of a significant interaction. My model has two interacting fixed effects and a random effect. The analysis is from an experiment where 19 participants had to adjust the Centroid paramet

[R] Which is the best way of reporting results of lme() in two different possible cases?

Dear List Memebers, I need some advise about how to report the output of lme(). When searching for correlations between between a dependent variable and a factor or a combination of factors in a repeated measure design with lme() I noticed that I can encounter two types of results, and I am w

[R] R: Re: Differences in output of lme() when introducing interactions

Dear Terry, I am very grateful to you for such a detailed and helpful answer. Following your recommendation then I will skip the method presented at http://www.ats.ucla.edu/stat/r/faq/type3.htm So far, based on my understanding of R I arrived to the conclusion that the correct way to see if ther

[R] R: Re: R: Re: R: Re: Differences in output of lme() when introducing interactions

with R? My department does not have a statician, so I have to find a solution with my own capacities. Thanks in advance Angelo Messaggio originale Da: li...@dewey.myzen.co.uk Data: 21-lug-2015 11.58 A: "angelo.arc...@virgilio.it", Cc: Ogg: Re: R: Re: [R] R: Re: Diff

[R] R: Re: R: Re: Differences in output of lme() when introducing interactions

l.com Data: 21-lug-2015 3.45 A: "angelo.arc...@virgilio.it" Cc: , Ogg: Re: [R] R: Re: Differences in output of lme() when introducing interactions I believe Michael's point is that you need to STOP asking such questions and START either learning some statistics or work with someone who alr

[R] R: Re: Differences in output of lme() when introducing interactions

? Thanks in advance Angelo Messaggio originale Da: li...@dewey.myzen.co.uk Data: 20-lug-2015 17.56 A: "angelo.arc...@virgilio.it", Ogg: Re: [R] Differences in output of lme() when introducing interactions In-line On 20/07/2015 15:10, angelo.arc...@virgilio.it wrote: > Dear

[R] Differences in output of lme() when introducing interactions

Dear List Members, I am searching for correlations between a dependent variable and a factor or a combination of factors in a repeated measure design. So I use lme() function in R. However, I am getting very different results depending on whether I add on the lme formula various factors comp

[R] R: RE: R: RE: Bonferroni post hoc test in R for repeated measure ANOVA with mixed within and between subjects design

Dear Michael, I am very grateful to you for the detailed explanation, now everything is clear. In the end I will opt for the Tuckey method then. Thanks Best A. Messaggio originale Da: meyner...@pg.com Data: 7-lug-2015 8.58 A: "angelo.arc...@virgilio.it" Cc: "r-hel

[R] R: Re: R: RE: Bonferroni post hoc test in R for repeated measure ANOVA with mixed within and between subjects design

-Messaggio originale Da: j...@mcmaster.ca Data: 7-lug-2015 3.23 A: "angelo.arc...@virgilio.it" Cc: , "r-help@r-project.org" Ogg: Re: [R] R: RE: Bonferroni post hoc test in R for repeated measure ANOVA with mixed within and between subjects design Dear Angelo, The Bonferroni

[R] R: Re: Sphericity for a repeated measure ANOVA with whithin and between subjects design, using R

2013-1_fox-friendly-we > isberg.pdf} > > I hope this helps, > John > > > --- > John Fox, Professor > McMaster University > Hamilton, Ontario, Canada > http://socserv.socsci.mcmaster.ca/jfox/ > > > >> -Original Message- >> From: R-help [ma

[R] R: RE: Bonferroni post hoc test in R for repeated measure ANOVA with mixed within and between subjects design

Angelo Messaggio originale Da: meyner...@pg.com Data: 6-lug-2015 17.52 A: "angelo.arc...@virgilio.it", "r-help@r-project.org" Ogg: RE: [R] Bonferroni post hoc test in R for repeated measure ANOVA with mixed within and between subjects design Untested, but if anythi

[R] Sphericity for a repeated measure ANOVA with whithin and between subjects design, using R

Dear List Members, I need to perform a four-way ANOVA with repeated measures and to calculate the sphericity for eventual correction of the degree of freedom of the F ratio. I have three within subjects factors (Emotion, having 5 levels, Material, having 4 levels, Shoes, having 2 levels) and

[R] Bonferroni post hoc test in R for repeated measure ANOVA with mixed within and between subjects design

Dear List Members, I need to perform a Bonferroni post hoc test in R on a table with three within subjects factors (Emotion, having 5 levels, Material, having 4 levels, Shoes, having 2 levels) and one between subject factor (Musician, having 2 levels). I normally use the Tukey method with

[R] MANOVA with repeated measures in R

Dear list member, I deperately need an help in performing a MANOVA in R, but I encountered some problems both in the design and in the synthax with R. I conducted a listening experiment in which 16 participants had to rate the audio stimuli along 5 scales representing an emotion (sad, te

[R] R: Error with glht function: Error in mcp2matrix(model, linfct = linfct) : Variable(s) 'Type' have been specified in 'linfct' but cannot be found in 'model'!

Hello everybody, problem solved, there was a typo. I wrote Type instead of Material Best Messaggio originale Da: angelo.arc...@virgilio.it Data: 22-giu-2012 11.05 A: Ogg: Error with glht function: Error in mcp2matrix(model, linfct = linfct) : Variable(s) 'Type'

[R] 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 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, lin

[R] R: prop.test() and the simultaneous confidence interval for multiple proportions in R

Hello, is there anyone who has some ideas about the problem I posted? Help! [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-

[R] prop.test() and the simultaneous confidence interval for multiple proportions in R

Dear list members, I want to perform in R the analysis "simultaneous confidence interval for multiple proportions", as illustrated in the article of Agresti et al. (2008) "Simultaneous confidence intervals for comparing binomial parameter", Biometrics 64, 1270-1275. If I am not wrong the R func

[R] Problem with ANOVA repeated measures: "Error() model is singular"

Hello everybody, I need an help because I don´t know if the command for the ANOVA analysis I am performing in R is correct. Indeed using the function aov I get the following error:"In aov (..) Error() model is singular" The structure of my table is the following: subject, stimulus, conditio