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
- R-Studio
- rbind()
- regression
- rename
- rstats
- santacruz
- scatterplot
- Scatter plot
- smoother
- social
- statistical concepts
- subset
- summary
- t-test
- title
- utah
- variable
- vector
- vectors
- visualization
- why R?
- workflow
- working directory
- workspace
-
Join 26 other subscribers
-
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
- Mixed-effects modeling — four hour workshop — part IV: LMEs November 5, 2013
Category Archives: 14. Modelling – collinearity
Modelling – examining correlations among predictors
In a previous post, we used merge() to create a joint database holding a large set of data on the attributes of the 160 words presented in a lexical decision experiment whose completion I supervised a while ago. I would … Continue reading
ayeimanolr 