Illustrates the impact of dichotomising a continuous variable on correlations with other variables.
Illustrates using simulation to check my function based on a 1969 paper.
I think this is a bug, others disagree!
This explains why this transform can be misleading.
This expands the glossary entry about convergent validity
Post that will link closely to glossary entries and shiny apps all about dispersion, scatter, variance
Anonymising Libre/OpenOffice ODT and M$oft Wurd DOCX documents
CSC matching lookup with lookupCSCgenderAndAge()
A bit about Hedges's g!
Significance testing and confidence intervals for correlation coefficients ... and back to why!
Exploration of the differences between different correlation coefficients.
A simple explanation of the Bonferroni correction for the multiple tests problem.
Explores four methods of estimating a CI around an observed Spearman correlation.
Graphical exploration of fit between distributions and against theoretical distributions.
Introduction to four tests of fit to Gaussian distribution available in R
First post about using R to test fit to univariate Gaussian (a.k.a. 'Normal') distribution: Kolmogorov-Test
I had previously found the structure of tryCatch() difficult: cracked it!
1.xi.23 This is very early work in progress and will evolve a lot over the next week and then get into CECPfuns R package on github.
A general coverage of quantiles, the ECDF (Empirical Cumulative Distribution Function) and confidence intervals (CIs) around quantiles
Exploring the use of quantiles and their confidence intervals, and ECDFs to map individuals' scores to referential data.
This is very much work in progress and will probably always be that way.
A general introduction to the ECDF and quantiles and why they're useful.
I've learned a lot about data analysis from my errors, here's what I wish I'd known earlier!
This is a developing miscellany of the things that I seem to keep forgetting about R. What I used to call in my student days "teflon coated facts"!
The Jacobson plot and RCSC (Reliable and Clinical Change) methods for those who have never met them before or don't feel confident they understand them.
As title says: very simple stuff about circles in ggplot, does open up somne ideas about drawing therapy groups.
Follows on from 'Scores from matching things'
Mostly about the method of derangements but some huxtable!
Work in progress about reading data from M$ mdb file into R
This describes the ExactCIdiff package, unpacks the arguments to the functions, looks at timings and notes an oddity, a typo I think, in the original paper about the package.
Teaching myself about pre/post therapy change analyses using R. Probably the first of a series of posts.
Simple plotting of raw agreement and Cohen's kappa for various prevalences of the rated quality and only chance agreement
This just clarifies the distinction between a data ellipse and a confidence ellipse, i.e. an ellipse describing the joint confidence intervals on two parameters of a model
For anyone else who hits this and doesn't want to wait for someone to put the compiled package into CRAN
Code used for entries in the glossary for the OMbook
A look at subscale/total correlations in the null model
How does internal reliability relate to number of items?
I thought I should document this process as it turned out to be fairly easy
This may be of use to others but it's partly for me as I keep forgetting these and searching around for the .Rmd files in which I used the one I want!
This is very much work in progress so look for later posts about CECPfuns as well as this.
This extends https://www.psyctc.org/Rblog/posts/2021-02-07-why-pipe-why-the-tidyverse/ and introduces rowwise()
A short description of the post.
Just documenting how I have created these pages with the Distill package.
A quick exploration of bootstrapping a Spearman and why you might, or might not, want it.
This is the first of my blog posts here, about the issue of overprinting and some ways to handle it using R and ggplot(). There's a small spin off topic on the impact on bivariate correlations and on linear regression of discretising continuous variables.
How to nudge categories on an axis of a ggplot plot.
At the top you should find a search box and a menu. Probably the best way to find if I have something you want here is to use that search. However, you may also find things using the “CATEGORIES” menu on the right of this main page.
Going back to the top right of the menu bar “Welcome” gives you a bit more than this introduction, “About” gives you some geeky background and you can guess what “Copyright/permissions” gives you. I hope it’s all useful, do please contact me if you have suggestions, comments, corrections or requests. What follows below is the full list of posts in reverse chronological order of creation. Code used in the posts is in them and revealed by hitting the “Show code”, buttons. Inside code blocks there is a “copy to clipboard” button if you hover your cursor inside the block.