Måns Thulin

Data Visualisation Gallery Gallery of data visualisations created by Nicola Rennie.

One of the things that has been on my to do list for a very long time, is building a gallery of all of the charts I've made across #TidyTuesday, #30DayChartChallenge, #30DayMapChallenge, and other miscellaneous projects 📊

And it's finally here!

Link: nrennie.rbind.io/viz-gallery/

#DataViz #RStats

"The difference between the groups is 1.1-2.6 measured using something that is a bit like the median but not quite the median" 😉

They test different hypotheses though, so the Wilcoxon test isn't a like-for-like replacement for the t-test. A bootstrap t-test is my go-to method for tests about means (using {boot.pval}). It has the added benefit of providing confidence intervals, unlike the Wilcoxon test.

Students often ask: “Is this model good enough?”
My reply: “For what?” AUC, precision, F1—none of them matter unless you know what decision you're informing. Always tie metrics to action.

#DataScience #MachineLearning #AI #RStats

It's great to use with pipes! Then everything goes from left to right.

Very interesting - thanks for sharing!

I remember seeing a github repo for this a while ago. Might have been this one, but I'm not sure: github.com/AllanCameron...

If you use git a lot, use Python, or need AI assistants: yes. Otherwise: no, stick with RStudio - it's still great at what it does and keeps getting better.

Looks really interesting! I might use this as a case study when I teach statistics for biologist next year.

Thanks Daniel! Very happy to hear it!

It's the variance of the _estimator_ that matters. This is still true if you estimate higher moments like skewness and kurtosis. The variance of those estimators will be related to the sixth and eight moments of the measurements, but it's still a variance.

strsplit("this/is/my/path", "/")[[1]]

If your random seed is 42 I will come to your office and set your computer on fire🔥 Figuratively. More likely you'll get a stern talking to.

We need to have a conversation about random seeds. Don't use 42.
blog.genesmindsmachines.com/p/if-your-ra...

Not until all countries adopt the YYYY-MM-DD date standard!

It should still be using right censoring I think! The survival package is extremely powerful, but the documentation isn't always easy to follow. I've sometimes compared the results to manual calculations in toy examples just to make sure that it was using the model I thought it was.

The issue could be that for data with consecutive time periods, Surv expects three variables: start time, stop time, event indicator. So Surv(Days_Lag, Days, SurvivalDepressionTotal_Diff) in your case. You may need to remove the rows where Days_Lag is NA as well.

Depends on what your data looks like. Do you have consecutive time periods for each individual?

The number of records is much larger than the number of individuals (n), which seems to indicate that you have multiple rows per individual in your dataset. But it's not because of time-varying covariates or multiple events? You're doing something beyond a standard Cox regression, surely? :)

What model are you using? This looks like the output from a Cox regression with time-varying covariates. Correct? Can patients have more than one event?

Chernoff faces for penguins. 🐧 This made my day.

A short tutorial on how to create gt cross-tables in one line of code using the #Rstats package ivo.table:
mansthulin.se/posts/ivotab...

Happy to hear this. Positron certainly has its merits, but I think RStudio is a much better choice for the quiet majority who use #Rstats for statistical analyses rather than software engineering.

Yes! Right assignment with pipes *chef's kiss*

This is a great update! I really like how colour palettes are now part of themes and the ink and paper feature in themes.

{tinytable} 0.13.0 for #RStats can now draw interactive tables with sorting, filtering & pages!

And the 📦 is still an ultra-simple, powerful, and 0-dep way to create beautiful tables in basically any format: tex, typ, docx, pdf, png, md, etc

Gallery & Docs: vincentarelbundock.github.io/tinytable/

#rstats #statistics

I've released my new open source book, "Powered by Linear Algebra: the role of matrices and vector space in data science," at matloff.github.io/WackyLinearA....

Turns the classic LA course on its head! Still proves the theorems, but with a deep emphasis on applications.

Highly recommended! It solves the problems you're having and speeds up the installation of new packages.

GitHub - eddelbuettel/r2u: CRAN as Ubuntu Binaries CRAN as Ubuntu Binaries. Contribute to eddelbuettel/r2u development by creating an account on GitHub.

Have you tried R2U? github.com/eddelbuettel...

Wow ... I'd never come across this use of with(), which allows combining the pipe and computing a correlation coefficient. Thanks to @mansthulin.bsky.social for explaining this in his fantastic book www.modernstatisticswithr.com!
#Rstats #code #neverknew

I'm extremely biased, but I think Modern Statistics with R is a great choice 😁
www.modernstatisticswithr.com