An R SAFAQ
Confidence interval around Spearman correlation coefficient
Explores four methods of estimating a CI around an observed Spearman correlation.
Explore distributions with plots
Graphical exploration of fit between distributions and against theoretical distributions.
Tests of fit to Gaussian distribution
Introduction to four tests of fit to Gaussian distribution available in R
Kolmogorov-Smirnov test
First post about using R to test fit to univariate Gaussian (a.k.a. 'Normal') distribution: Kolmogorov-Test
Using tryCatch() (within simulations)
I had previously found the structure of tryCatch() difficult: cracked it!
Background on plotJacobson() function
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.
Confidence intervals for quantiles
A general coverage of quantiles, the ECDF (Empirical Cumulative Distribution Function) and confidence intervals (CIs) around quantiles
Mapping individual scores to referential data using quantiles
Exploring the use of quantiles and their confidence intervals, and ECDFs to map individuals' scores to referential data.
Making a working shiny server
This is very much work in progress and will probably always be that way.
What is an empirical cumulative distribution function?
A general introductioni to the ECDF and quantiles and why they're useful.
Wisdom of years!
I've learned a lot about data analysis from my errors, here's what I wish I'd known earlier!
R things I, and perhaps others, forget
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"!
Jacobson #1
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.
Drawing a PSYCTC.org logo (and other circular things)
As title says: very simple stuff about circles in ggplot, does open up somne ideas about drawing therapy groups.
Derangements #2
Follows on from 'Scores from matching things'
Scores from matching things
Mostly about the method of derangements but some huxtable!
Reading data into R from M$oft Access mdb
Work in progress about reading data from M$ mdb file into R
Exact confidence intervals for difference between proportions
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.
Pre/post analyses
Teaching myself about pre/post therapy change analyses using R. Probably the first of a series of posts.
Chance corrected agreement
Simple plotting of raw agreement and Cohen's kappa for various prevalences of the rated quality and only chance agreement
Data ellipses and confidence ellipses
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
Compiling packages reporting missing headers in windows
For anyone else who hits this and doesn't want to wait for someone to put the compiled package into CRAN
For OMbook glossary
Code used for entries in the glossary for the OMbook
Subscale/total correlations
A look at subscale/total correlations in the null model
Spearman-Brown formula
How does internal reliability relate to number of items?
Compiling R on a Raspberry Pi 4
I thought I should document this process as it turned out to be fairly easy
Where to store different settings in Rmarkdown files
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!
Making the CECPfuns package: my own usable package
This is very much work in progress so look for later posts about CECPfuns as well as this.
More piping, and rowwise()
This extends https://www.psyctc.org/Rblog/posts/2021-02-07-why-pipe-why-the-tidyverse/ and introduces rowwise()
Why pipe? Why the tidyverse?
A short description of the post.
How I have done this
Just documenting how I have created these pages with the Distill package.
Bootstrap_Spearman
A quick exploration of bootstrapping a Spearman and why you might, or might not, want it.
Handling overprinting
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.
Nudging groupings on plot axes
How to nudge categories on an axis of a ggplot plot.