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
Category Archives: plotting data
Modelling – examining correlations: first, look at predictor distributions
This post will take a more indepth look at the relationships between variables. A key property of experimental data is that we measure attributes – characteristics of people, stimuli, and behaviour – and that those measurements (the numbers) vary. Numbers … Continue reading
Posted in 11. Modelling  distributions, modelling, plotting data, rstats
Tagged density, distribution, grid, histogram, pdf, ttest
Leave a comment
Getting started – positioning and getting multiple plots on one page, output as a pdf
This post assumes you know how to set a working directory, load a data file, and run a ggplot() function call to create a histogram using geom_histogram, as discussed here. What are going to do in this post is expand … Continue reading
Posted in 6. Getting started  grid plots, plotting data, rstats
Tagged distribution, facet, ggplot2, grid, histogram, label, lattice, pdf, title
1 Comment
Getting started – a quick word on destinations – plotting
A critical reason for learning to use R is the superior capacity that affords to visualize data. If you learn to plot data with R you are learning to plot data using the best tools now available. There are four … Continue reading
Posted in .Interim directions, plotting data, rstats
Tagged base, ggplot2, Graphics, grid, lattice, plot, visualization
Leave a comment
Plot your data
I would start plotting my data almost from the beginning. You can get an impression of how powerful the visualization capacity of R is from this gallery. There are multiple systems for doing graphics in R (cf. in SPSS where you … Continue reading
Posted in .Interim directions, plotting data, rstats
Tagged graph, plot, rstats, visualization
Leave a comment