Hello all. I have the following model, me.model = lmer(Score ~ Closure*ExpertiseType + (Closure|Participant) + (1|Item), datasheet.complete) in which Closure and ExpertiseType are ordinal data (so I use the function factor()). This does not provide me anymore with an output Closure (estimate) (error) (t) (p_value) ExpertiseTye ... ... ... ... Closure*ExpertiseType ... ... ... ... I would need to know the p_value of the interaction, I could I do it? Best Luca
show p_value for the interaction between two main effects
3 messages · Luca Danieli, Ben Bolker
Hello everybody, sorry to disturb you again. Is it possible to obtain only the p_value of an interaction for a lmer() model that uses the function factor()? Best Luca
From: Luca Danieli
Sent: 17 January 2018 18:26
To: r-sig-mixed-models at r-project.org
Subject: show p_value for the interaction between two main effects
Sent: 17 January 2018 18:26
To: r-sig-mixed-models at r-project.org
Subject: show p_value for the interaction between two main effects
Hello all. I have the following model, me.model = lmer(Score ~ Closure*ExpertiseType + (Closure|Participant) + (1|Item), datasheet.complete) in which Closure and ExpertiseType are ordinal data (so I use the function factor()). This does not provide me anymore with an output Closure (estimate) (error) (t) (p_value) ExpertiseTye ... ... ... ... Closure*ExpertiseType ... ... ... ... I would need to know the p_value of the interaction, I could I do it? Best Luca
To get the p-value of terms with more than one parameter (like factors) you typically need to use anova(...,test="Chisq") to compare a full and a reduced model. drop1(test="Chisq") might work too.
On 18-01-18 12:21 PM, Luca Danieli wrote:
Hello everybody, sorry to disturb you again. Is it possible to obtain only the p_value of an interaction for a lmer() model that uses the function factor()? Best Luca
________________________________ From: Luca Danieli Sent: 17 January 2018 18:26 To: r-sig-mixed-models at r-project.org Subject: show p_value for the interaction between two main effects Hello all. I have the following model, me.model = lmer(Score ~ Closure*ExpertiseType + (Closure|Participant) + (1|Item), datasheet.complete) in which Closure and ExpertiseType are ordinal data (so I use the function factor()). This does not provide me anymore with an output Closure (estimate) (error) (t) (p_value) ExpertiseTye ... ... ... ... Closure*ExpertiseType ... ... ... ... I would need to know the p_value of the interaction, I could I do it? Best Luca [[alternative HTML version deleted]] _______________________________________________ R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models