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: 12. Modelling – scatterplots+
Modelling – examination correlations: advanced scatterplots
This post will focus exclusively on the relationships between pairs of variables. We will be looking at the item norms data, though you might want to practice the R procedures we deploy on the subjects data (see earlier posts here, … Continue reading
Posted in 12. Modelling - scatterplots+, modelling, rstats
Tagged correlation, scatterplot
Leave a comment
ayeimanolr 