Hello, I am working in a longitudinal study, with a categorical variable as a dependent variable (alcohol consumption: no use, use, abuse and dependence) with repeated measures (baseline, 1 year, 2 years). Besides I have another variable with two groups: control and experimental. I would like to analyze the evolution in each group, I have though in lme, but I am not sure if I can do an lme with a categorical vble as dependent vble, or it must be continuous. If so, which model could I do? I have read something about lmer, but doesn`t give p-values.. Thanks in advance! -- View this message in context: http://r.789695.n4.nabble.com/Repeated-measures-with-categorical-data-tp4680733.html Sent from the R help mailing list archive at Nabble.com.
Repeated measures with categorical data
3 messages · sualme, Ben Bolker, Duncan Mackay
sualme <susana.alberichmesa <at> osakidetza.net> writes:
Hello, I am working in a longitudinal study, with a categorical variable as a dependent variable (alcohol consumption: no use, use, abuse and dependence) with repeated measures (baseline, 1 year, 2 years). Besides I have another variable with two groups: control and experimental. I would like to analyze the evolution in each group, I have though in lme, but I am not sure if I can do an lme with a categorical vble as dependent vble, or it must be continuous. If so, which model could I do? I have read something about lmer, but doesn`t give p-values.. Thanks in advance!
I'd take a look at the clmm function in the 'ordinal' package, or possibly the MCMCglmm package, and consider posting future questions to r-sig-mixed-models at r-project.org . (Your response variable is probably considered 'ordinal', i.e. ordered categorical, which may be helpful terminology in searching for solutions.) Ben Bolker
Also take a look at packages multgee repolr and VGAM, particularly repolr if your data does not fit the PO model Regards Duncan Duncan Mackay Department of Agronomy and Soil Science University of New England Armidale NSW 2351 Email: home: mackay at northnet.com.au -----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Ben Bolker Sent: Tuesday, 19 November 2013 23:51 To: r-help at stat.math.ethz.ch Subject: Re: [R] Repeated measures with categorical data sualme <susana.alberichmesa <at> osakidetza.net> writes:
Hello, I am working in a longitudinal study, with a categorical variable as a dependent variable (alcohol consumption: no use, use, abuse and dependence) with repeated measures (baseline, 1 year, 2 years). Besides I have another variable with two groups: control and experimental. I would like to analyze the evolution in each group, I have though in lme, but I am not sure if I can do an lme with a categorical vble as dependent vble, or it must be continuous. If so, which model could I do? I have read something about lmer, but doesn`t give p-values.. Thanks in advance!
I'd take a look at the clmm function in the 'ordinal' package, or possibly the MCMCglmm package, and consider posting future questions to r-sig-mixed-models at r-project.org . (Your response variable is probably considered 'ordinal', i.e. ordered categorical, which may be helpful terminology in searching for solutions.) Ben Bolker ______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.