Browse by category
Tags
 2012
 anova()
 arrays
 bluff
 california
 cbind()
 collinearity
 correlation
 correlations
 csv
 dataframe
 dataframes
 distribution
 DMDX
 evernote
 Exploratory data analysis
 facet
 Flickr
 getting started
 ggplot
 ggplot2
 graph
 Graphics
 grid
 GUI
 help
 histogram
 ifelse
 july
 label
 lattice
 learnR
 learn R
 library
 LME
 lmer()
 matrices
 matrix
 merge
 mixed effects
 modes
 multicollinearity
 normative
 objects
 ols()
 package
 plot
 plyr
 productivity
 programming
 RStudio
 rbind()
 regression
 rename
 rstats
 santacruz
 scatterplot
 Scatter plot
 smoother
 social
 statistical concepts
 subset
 summary
 ttest
 title
 utah
 variable
 vector
 vectors
 visualization
 why R?
 workflow
 working directory
 workspace

Join 26 other followers

Recent Posts
 Getting started — loading data, writing and saving scripts January 16, 2014
 Getting started – getting helped January 16, 2014
 Getting started — Installation of RStudio and some packages + using ggplot() to make a simple plot January 16, 2014
 Postgraduate data analysis and interpretation January 16, 2014
 Mixedeffects modeling — four hour workshop — part IV: LMEs November 5, 2013
Tag Archives: lmer()
Mixedeffects modeling — four hour workshop — part IV: LMEs
For an example analysis, we collated a .csv file of data from a repeated measures lexical decision experiment, which can be downloaded here. The code I have used in running the analysis described in this post can be found here. … Continue reading
Modelling – mixed effects – concepts
I am going to take another shot at considering mixed effects modelling. This time from a perspective closer to my starting point. I first learnt about mixedeffects modelling through reading about it in, I think, some paper or chapter by … Continue reading
Posted in 16. Modelling  mixedeffects
Tagged anova(), F', lmer(), minF', mixed effects, mixede, regression
Leave a comment
Mixed effects – continuing the extended example
As noted in a previous post, our mixed effects analysis of the ML lexical decision data suggested that RTs were influenced by significant effects due to: cAge + cART + cTOWRENW + cLength + cOLD + cBG_Mean + cLgSUBTLCD + … Continue reading
Modelling – extended example mixedeffects analysis
In the previous post, we ran through an example of a mixedeffects analysis completed using the lmer() function from the lme4 package (Bates, 2005; Bates, Maelchler & Bolker, 2013). We will not, yet, really fulfill the promise to develop our … Continue reading
Posted in 16. Modelling  mixedeffects
Tagged AIC, anova(), BIC, chisq, fixed effects, lmer(), MCMC, random effects
Leave a comment
Modelling – example mixedeffects analysis
In the last post, I showed how to collate the various data bases we constructed or collated from the data collection achieved in a study of lexical decision. We ended the post by producing a .csv file of the output … Continue reading