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
-
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
Tag Archives: ols()
Mixed-effects modeling — four hour workshop — part III: Regression modeling
We completed a study on the factors that influence visual word recognition performance in lexical decision. We then put together a dataset for analysis here. We examined the distribution of inter-relation of critical variables in that dataset, acting to transform … Continue reading
Posted in 2.3 LME workshop III/IV, Uncategorized
Tagged ggplot2, LME, ols(), plyr, scatterplot
Leave a comment
Modelling – ordinary least squares regression
Let’s work on our understanding of regression while we work through some examples. We have two datasets to work with, one on the attributes of the participants of a lexical decision study (their age, reading skill etc.), and one on … Continue reading
Modelling – ordinary least squares regression in R
We will be looking at how you can do regression in R. More than one function call will do this, lm() and ols() in R. Don’t ask me why, I might find out another time. Ordinary least squares regression: — … Continue reading