These are public posts tagged with #rstat. You can interact with them if you have an account anywhere in the fediverse.
The truly important reason to try the #positron R/Python editor is that it can work in parallel with another R session open in #RStudio for a different project...
Also amazed by the #Pluto notebook for #Julia scientific work. One of its nice features is that the associated file is in text format and the code can be easily extracted. Not yet ready to switch from #ggplot to #VegaLite though.
https://positron.posit.co/start.html
https://plutojl.org/
#rstat
R-devel NEWS says:
> "The deprecated and seemingly never-used S-compatibility macros ‘F77_COM’ and ‘F77_COMDECL’ have been removed from header ‘R_ext/RS.h’."
does this mean...."because of compatibility with S" is no longer a valid argument?
These are static plots of TSLA coverage by Wall Street Analysts from 2013 through Today. 5 is Buy 1 is Sell Only 1 Analyst was a 5 from 2019 and intermittently through 2023. Most analysts have migrated to the middle of the distribution 3. #TeslaPropaganda won't work here. #TeslaIsBurning #RStat
10 years of writing #RStat code, and I still get bitten by using [ ] instead of [[ ]]
The new #rstat #dispRity pkg v1.9 is now out live!
Major internal overhaul: the functions are now more efficient (and faster), specially when dealing with distance matrices!
You can find the details on the CRAN https://cran.r-project.org/web/packages/dispRity
GitHub: https://github.com/TGuillerme/dispRity
or the old paper in @MethodsEcolEvol https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.13022
A modular package for measuring disparity (multidimensional…
cran.r-project.orgApply functions with purrr :: Cheatsheet #rstat ditch your for loop with purrr https://rstudio.github.io/cheatsheets/purrr.pdf
We're back online!
Many thanks to the CRAN maintainer known as 'k'
https://cran.r-project.org/web/packages/arcpbf/index.html
#rstat
1/I’ve been developing some genotype allele frequency (AF) #imputation #rstat scripts. While my algorithm returns a low raw bias (RB) of 0.05 to 0.1, simply imputing with the meanAF gives slightly worse but largely similar RB values. I’m wanting to quantifying accuracy better because despite the similar RB values, I find meanAF imputation inferior.
#genomics
We are super lucky to have an amazing line up of speakers, from both Japan & GB. Organic #residue #analysis, #computer #modelling, #Bayesian #statistics, #genetics, and much more topics will be covered, so don't miss it! #rstat #archaeofloss
But before sharing the survey, we want to thank all those who participated to the workshops, our sponsors (the British Academy, @ucamarchaeology , MSCA pos) and above all, everyone who helped with the development of the project thank you all so much! 🫶
#archaeoriddle #archaeodon #histodon #rstat #modelling #simulation #floss #ArchaeoFOSS
While we wrap up and get everything ready, we’ll invite all those of you who have been interested in the project to answer a quick survey but before that, we know we owe you one final video! the only one, the final battle
... and this is all coming very soon!
#histodon #Archaeoriddle #rstat #simulation #modeling #archaeodon #ArchaeoFOSS
#TidyTuesday week 22 - Lisa's vegetable garden. Made an interactive table using {reactablefmtr}. #rstat #dataviz
Estou há muito tempo sem usar o #rstats. Eis que surge uma demanda e ao começar a preparar o ambiente de trabalho me lembro que um dia cheguei a preparar um material muito bacana sobre produção de artigos com #rstat
e #markdown ... o Famosos #RMarkdown...
Quem quiser conferir: https://felipesbarros.github.io/Dominando_RMarkdown/
Esse livro é um material didático para você dominar…
felipesbarros.github.ioPara nuestra reunión mensual crearemos mapas usando #R y datos de #OpenStreetMap.
Les esperamos
https://www.youtube.com/watch?v=IyGfwNMu-YU
gulag.org.mx
SEraster uses a rasterization approach to significantly reduce computational requirements without sacrificing analytical performance, thereby making it possible to efficiently handle large-scale datasets. #spatial #rstat #bioinformatics
https://www.biorxiv.org/content/10.1101/2024.02.01.578436v1
Motivation Spatial omics data demand computational…
www.biorxiv.org