Publications by Thom Baguley
R resources for psychologists
As a quick follow-up to my previous post, I’ll quickly note some R links specifically aimed at psychologists. Jonathan Baron and Yuelin Li have a excellent set of notes that cover ground from R basics to ANOVA (including repeated measures ANOVA) and beyond. Jonathan Baron also maintains a general set of R links. William Revelle’...
1008 sym 2 img
R functions for Dienes (2008) Understanding Psychology as a Science
I recently wrote a review of Understanding psychology as a science: an introduction to scientific and statistical inference by Zoltan Dienes (2008). Dienes‘ book covers Neyman-Pearson null hypothesis significance testing, Bayesian inference and the likelihood method of inference (inspired by Fisher and associated with A. W. F. Edwards and more ...
3478 sym
Interaction plot from cell means
I needed to produce a few a interaction plots for my book in R and, while the interaction.plot() function is useful it has a couple of drawbacks. First, the default output isn’t very pretty. Second, it works from the raw data, whereas I often need plots from cell means. For teaching purposes it is quite common to produce plots witho...
3322 sym 6 img
Example of plotting a serial position curve in R
A while ago I wrote a co-wrote chapter for an introductory psychology text book Essential Psychology: A Concise Introduction. This is a book edited and written by members of the department where I work. My contribution was the chapter on human memory (cunningly titled Memory).I produced several plots for the chapter (some of which got cut due t...
4132 sym 8 img
Introduction to using R in research
I was recently asked to give a talk to our graduate school annual conference. I offered several titles and the one they picked was Using R in research. I’m not sure if this was a good idea or not. The graduate school covers PhD students across three areas of the university: social sciences (including psychology), law and business. I...
2687 sym
R: An introduction for psychologists
Here are the slides from the Introduction to R session Danny Kaye and I ran at the BPS Mathematics, Statistics & Computing section CPS Workshop (13 December 2010, Nottingham Trent University). Related To leave a comment for the author, please follow the link and comment on their blog: Psychological Statistics. R-bloggers.com offers daily e-ma...
599 sym
Calculating and graphing within-subject confidence intervals for ANOVA
Psychologists are gradually coming round to the view that it is a good idea to present interval estimates alongside point estimates of statistics. The most common statistic reported in psychology research is almost certainly the mean (strictly the arithmetic mean). Presenting an interval estimate for the mean of a single sample is usually quite ...
6684 sym 4 img
Serious Stats book and blog update
This is a quick update to announce my new blog Serious Stats. This is a companion to my forthcoming book of the same name:Baguley, T. (2012, in press). Serious stats: A guide to advanced statistics for the behavioral sciences. Basingstoke: Palgrave.I think is better to separate book specific content out from my regular posts (though in some case...
892 sym
Comparing correlations update
I have just published R code for calculating CIs for differences between correlations on the Serious stats book blog. This covers independent correlations (taken from chapter 6 of the book) and dependent correlations (new R code written as a supplement to chapter 6).UPDATE on the update …I have also added an Excel spreadsheet that ...
839 sym
Simulating p curves and detecting dodgy stats
Psych your mind has an interesting blog post on using p curves to detect dodgy stats in a a volume of published work (e.g., for a researcher or journal). The idea apparently comes from Uri Simonsohn (one of the authors of a recent paper on dodgy stats). The author (Michael W. Kraus) bravely plotted and published his own p curve – which looks r...
2873 sym 6 img