search for: ezanova

...ors = TRUE) data$Participant <- as.factor(data$Participant) summary(data) colwise(class)(data) colwise(mode)(data) colwise(mean)(data[3:4]) colwise(sd)(data[3:4]) ops <- options(contrasts = c('contr.sum', 'contr.poly')) ezANOVA(data, dv = .(Measure.2), wid = .(Participant), within = .(Factor), type = 3, detailed = T) ezANOVA(data, dv = .(Measure.1), wid = .(Participant), within = .(Factor), type = 3, detailed = T) options(ops) I get a model from the first call to ezANOVA, but the deficient rank err...

I initially posted this question to one of the StackExchange sites, and they suggested that I repost my problem here. After using ezANOVA as my primary way of specifying mixed ANOVAs, I've hit a stumbling block when it come to adding a covariate to the model. I am using an ANCOVA in order to determine if there is a developmental trajectory in my data; namely, I need to be able to see the F-statistic and p-values for interactions...

...tion, but definitely difficult to solve it by myself. I'd like to see main effect of group(gender: sample size is different(M:F=23:18) and one of condition(cond) and the interaction at each subset from 90 datasets So I perform anova 90 times using a command like below; for(i in 1:90) {results_ezANOVA = ezANOVA(data=subset(ast.ast_coef, ast.ast_coef$coef_thr==i), dv=.(ast.values), between=.(gender), wid=.(subj), within=.(cond))} But I got the last(90th) result, not all. Here are my questions. 1) Is my command correct? 2) If correct, please let me know if I can get all 90 results. 3) What kind...

...) install.packages( 'ez' , type='source' , dependencies=F ) Once installed, running the following commands will load ez and bring up its help page that links to descriptions of all ez's functions: library( ez ) ?ez ****Big changes in version 3.0**** - A big rework of "ezANOVA()" to permit more flexibility, including more nuanced handling of numeric predictor variables, specification of sums-of-squares types when data is imbalanced, and an option to compute/return an aov object representing the requested ANOVA for follow-up contrast analysis. (The latter two feature...

...) install.packages( 'ez' , type='source' , dependencies=F ) Once installed, running the following commands will load ez and bring up its help page that links to descriptions of all ez's functions: library( ez ) ?ez ****Big changes in version 3.0**** - A big rework of "ezANOVA()" to permit more flexibility, including more nuanced handling of numeric predictor variables, specification of sums-of-squares types when data is imbalanced, and an option to compute/return an aov object representing the requested ANOVA for follow-up contrast analysis. (The latter two feature...

...missing data) - ezPrecis(), a function to summarize a data set (inspired by summary(), str(), and YaleToolkit:whatis() ) - ezBoot() and ezPlotBoot(), functions to compute and visualize (respectively) bootstrapped confidence intervals for either cell means or predictions from a mixed effects model - ezANOVA() updated with an improved measure of effect size: generalized eta-square. - ezPlot() updated to permit simultaneous plotting of multiple DV's, with each mapped to a row of the plot facets. - see changelog for further changes Enjoy! Mike -- Mike Lawrence Graduate Student Department of Psych...

...missing data) - ezPrecis(), a function to summarize a data set (inspired by summary(), str(), and YaleToolkit:whatis() ) - ezBoot() and ezPlotBoot(), functions to compute and visualize (respectively) bootstrapped confidence intervals for either cell means or predictions from a mixed effects model - ezANOVA() updated with an improved measure of effect size: generalized eta-square. - ezPlot() updated to permit simultaneous plotting of multiple DV's, with each mapped to a row of the plot facets. - see changelog for further changes Enjoy! Mike -- Mike Lawrence Graduate Student Department of Psych...

Hello everyone, I am trying to do within subjects repeated measures anova followed by the test of sphericity (sample dataset below). I am able to get either mixed model or linear model anova and TukeyHSD, but have no luck with Repeated-Measures Assuming Sphericity or Separate Sphericity Tests. I am trying to follow example from "car" package, but it seems that I am not getting something

I am trying to reshape data that are in the wide format into the long format. The design is a repeated-measures design, which combined 3 levels of shape (circle, square, triangle) with 3 levels of color (Blue, Red, Green), for a total of 9 variables. The wide data look like this (sorry I couldn't get the columns to line up quite right: Subject CircleBlue CircleRed CircleGreen SquareBlue

Dear All I would need to perform a MANOVA with both fixed (group, sex, group*sex) and random (brood) effects. I wonder if this is at all possible and if R does that. At the moment, I only know that I can run a classic MANOVA with R. Thank you David ______________________________________________ David Costantini, PhD http://www.davidcostantini.it NERC Postdoctoral research associate

Thank you for reading. I am trying to get sphericity values, and I understood I need to use mlm, but how do I implement a nested within subject design in mlm? I already read the R newsletter, fox chapter appendix, EZanova, and whatever I could find online. My original ANOVA anova(aov(resp ~ sucrose*citral, random =~1 | subject, data = p12bl, subset = exps==1)) Or anova(aov(resp ~ sucrose*citral, random =~1 | subject/sucrose*citral, data = p12bl, subset = exps==1)) ? Thanks, Adam ------------------------------...