[R] MANCOVA in R

2014-11-19 Thread Michael
Hi, I have two groups of persons, GRP0 and GRP1, on which I measured three continuous variables: VAR1, VAR2 and VAR3. I would like to use Mancova in R with: - VAR1, VAR2 and VAR3 as outcome variables - GRP={0,1} as predictor variable - age and gender = {F,M} as covariates What would be the corre

Re: [R] Mancova with R

2013-04-17 Thread peter dalgaard
On Apr 17, 2013, at 16:47 , Rémi Lesmerises wrote: > Dear all, > > I'm trying to compare two sets of variables, the first set is composed > exclusively of numerical variables and the second regroups factors and > numerical variables. I can't use a Manova because of this inclusion of > numeric

Re: [R] Mancova with R

2013-04-17 Thread John Fox
ook with which the car package is associated. Best, John > > Rémi Lesmerises, biol. M.Sc., > Candidat Ph.D. en Biologie > Université du Québec à Rimouski > 300, allée des Ursulines > remilesmeri...@yahoo.ca > > > > > De : John F

Re: [R] Mancova with R

2013-04-17 Thread Rémi Lesmerises
esmeri...@yahoo.ca De : John Fox À : Rémi Lesmerises Cc : "r-help@r-project.org" Envoyé le : mercredi 17 avril 2013 10h54 Objet : Re: [R] Mancova with R Dear Remi, Take a look at the Anova() function in the car package. In your case, you could use Anova(lm(as.matrix(Y) ~ 

Re: [R] Mancova with R

2013-04-17 Thread John Fox
Dear Remi, Take a look at the Anova() function in the car package. In your case, you could use Anova(lm(as.matrix(Y) ~ x + z)) or, for more detail, summary(Anova(lm(as.matrix(Y) ~ x + z))) I hope this helps, John John Fox Sen. William McMas

[R] Mancova with R

2013-04-17 Thread Rémi Lesmerises
Dear all, I'm trying to compare two sets of variables, the first set is composed exclusively of numerical variables and the second regroups factors and numerical variables. I can't use a Manova because of this inclusion of numerical variables in the second set. The solution should be to perform

Re: [R] MANCOVA

2012-10-29 Thread Jorge I Velez
Check this out:http://en.wikipedia.org/wiki/Web_search_engine --JIV On Mon, Oct 29, 2012 at 7:03 PM, paola wrote: > What is this?? > > paola > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/MANCOVA-tp4647735p4647737.html > Sent from the R help mailing list archiv

Re: [R] MANCOVA

2012-10-29 Thread Pascal Oettli
Hello, Google, Yahoo!, Baidu, Bing, Yandex, Ask, AOL... Regards, Pascal Le 29/10/2012 17:03, paola a écrit : What is this?? paola -- View this message in context: http://r.789695.n4.nabble.com/MANCOVA-tp4647735p4647737.html Sent from the R help mailing list archive at Nabble.com. __

Re: [R] MANCOVA

2012-10-29 Thread Pascal Oettli
Hi ! Why don't you use web search engine? Regards, Pascal Le 29/10/12 16:03, paola a écrit : Hi everybidy Does anybody knows the code in R relate to MANCOVA???I saw somewhere lm(Y`...) but ma not so sure.. Thanks in advance!! Paola -- View this message in context: http://r.789695.n4.na

Re: [R] MANCOVA

2010-10-08 Thread Jonathan DuBois
Thanks so much Peter, If doing linear regression with a similar goal - to determine a relationship corrected for age, is there a similar procedure? I have been using: >lm(Y~X+age) However, I am guessing from the previous response that this was simply including both X and age as independent varia

Re: [R] MANCOVA

2010-10-07 Thread Peter Dalgaard
On 10/08/2010 06:55 AM, Jonathan DuBois wrote: > Hi, > > I have been using R to do multiple analyses of variance with two > covariates, but recently found that the results in SPSS were very > different. I have check several books and web resources and I think > that both methods are correct, but I

[R] MANCOVA

2010-10-07 Thread Jonathan DuBois
Hi, I have been using R to do multiple analyses of variance with two covariates, but recently found that the results in SPSS were very different. I have check several books and web resources and I think that both methods are correct, but I am less familiar with R, so I was hoping someone could off

[R] MANCOVA in R

2008-05-08 Thread Bruno Estigarribia
Hello, I have subjects in 4 groups: X1, X2, X3, X4. There are 33 subjects in group X1, 35 in X2, 31 in X3, and 46 in group X4. I have 7 continuous response variables (actually integers, approximately normal) measured for each subject: Y1 to Y7, and two continuous covariates C1, C2 (they are b