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Daniel 🕹️This is how table printing in <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23easystats" target="_blank">#easystats</a> look like - nice tables out-of-the-box thanks to <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23rstats" target="_blank">#rstats</a> packages like {gt} or {tinytable}, which is now fully supported across easystats📦 RE: <a href="https://bsky.app/profile/did:plc:5kx3l44skokbyab6ycny437w/post/3lxqwmgrdz22c" rel="nofollow noopener" target="_blank">https://bsky.app/profile/did:plc:5kx3l44skokbyab6ycny437w/post/3lxqwmgrdz22c</a>

Daniel 🕹️Nice thread that gives examples how many research questions can be answered by some kind of estimated marginal means, contrasts/comparisons or marginal effects. Check out the recent release from the <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23rstats" target="_blank">#rstats</a> {modelbased} 📦 and the cool examples shown in the <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23easystats" target="_blank">#easystats</a> thread! RE: <a href="https://bsky.app/profile/did:plc:5kx3l44skokbyab6ycny437w/post/3lxoo64zum22h" rel="nofollow noopener" target="_blank">https://bsky.app/profile/did:plc:5kx3l44skokbyab6ycny437w/post/3lxoo64zum22h</a>

Daniel 🕹️That's pretty cool seeing the <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23easystats" target="_blank">#easystats</a> 📦 in teaching and daily work beyond your own little cosmos <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23rstats" target="_blank">#rstats</a> RE: <a href="https://bsky.app/profile/did:plc:dxctz57ynxa6c26zzvtejlz3/post/3lwuhjg4tps2g" rel="nofollow noopener" target="_blank">https://bsky.app/profile/did:plc:dxctz57ynxa6c26zzvtejlz3/post/3lwuhjg4tps2g</a>

Dr Mircea Zloteanu ☀️ 🌊🌴<a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#statstab</a> #390 modelbased: An R package to make the most out of your statistical models through marginal means, marginal effects, and model predictionsThoughts: Great package for getting predicted probabilities for your models.<a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://mastodon.social/tags/r" class="mention hashtag" rel="nofollow noopener" target="_blank">#r</a> <a href="https://mastodon.social/tags/easystats" class="mention hashtag" rel="nofollow noopener" target="_blank">#easystats</a><a href="https://doi.org/10.21105/joss.07969" rel="nofollow noopener" translate="no" target="_blank">https://doi.org/10.21105/joss.07969</a>

Dr Mircea Zloteanu ☀️ 🌊🌴<a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#statstab</a> #386 {bayestestR} Evaluating Evidence and Making Decisions using Bayesian Statistics by <a href="https://scicomm.xyz/@mattansb" class="u-url mention" rel="nofollow noopener" target="_blank">@mattansb</a> Thoughts: Want to start using Bayesian stats? Here is a quick but comprehensive guide in <a href="https://mastodon.social/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#R</a><a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#bayesian</a> <a href="https://mastodon.social/tags/bayes" class="mention hashtag" rel="nofollow noopener" target="_blank">#bayes</a> <a href="https://mastodon.social/tags/mcmc" class="mention hashtag" rel="nofollow noopener" target="_blank">#mcmc</a> <a href="https://mastodon.social/tags/easystats" class="mention hashtag" rel="nofollow noopener" target="_blank">#easystats</a> <a href="https://mastodon.social/tags/guide" class="mention hashtag" rel="nofollow noopener" target="_blank">#guide</a><a href="https://mattansb.github.io/bayesian-evidence/" rel="nofollow noopener" translate="no" target="_blank">https://mattansb.github.io/bayesian-evidence/</a>

Daniel 🕹️If our packages were stocks, all our users would be rich now. But even so, you gain a lot when you use <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23rstats" target="_blank">#rstats</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23easystats" target="_blank">#easystats</a> packages 😎 RE: <a href="https://bsky.app/profile/did:plc:5kx3l44skokbyab6ycny437w/post/3lt7vegtzls2f" rel="nofollow noopener" target="_blank">https://bsky.app/profile/did:plc:5kx3l44skokbyab6ycny437w/post/3lt7vegtzls2f</a>

Daniel 🕹️Time for a new wallpaper... <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23easystats" target="_blank">#easystats</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23insight" target="_blank">#insight</a>

Daniel 🕹️<a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23easystats" target="_blank">#easystats</a> makes <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23rstats" target="_blank">#rstats</a> easy RE: <a href="https://bsky.app/profile/did:plc:kwjddjickma3syepdsfufyvi/post/3lqskdxzgic2g" rel="nofollow noopener" target="_blank">https://bsky.app/profile/did:plc:kwjddjickma3syepdsfufyvi/post/3lqskdxzgic2g</a>

Daniel 🕹️A cool feature is that `demean()` also works for nested or cross-classified data structures (when you work with mixed models), i.e. person-mean centering takes your model/data structure into account. Details in `?demean`. <a class="hashtag" href="https://bsky.app/search?q=%23easystats" rel="nofollow noopener" target="_blank">#easystats</a> <a class="hashtag" href="https://bsky.app/search?q=%23rstats" rel="nofollow noopener" target="_blank">#rstats</a> RE: <a href="https://bsky.app/profile/did:plc:5kx3l44skokbyab6ycny437w/post/3ljzceojun22n" rel="nofollow noopener" target="_blank">https://bsky.app/profile/did:plc:5kx3l44skokbyab6ycny437w/post/3ljzceojun22n</a>

Daniel 🕹️Also interesting: the analytic workflow vignettes: <a href="https://easystats.github.io/easystats/articles/index.html" rel="nofollow noopener" target="_blank">easystats.github.io/easystats/ar...</a> These are short summaries of common workflows when doing data analysis/research... <a class="hashtag" href="https://bsky.app/search?q=%23easystats" rel="nofollow noopener" target="_blank">#easystats</a> <a class="hashtag" href="https://bsky.app/search?q=%23rstats" rel="nofollow noopener" target="_blank">#rstats</a> RE: <a href="https://bsky.app/profile/did:plc:5kx3l44skokbyab6ycny437w/post/3li2aorawc22f" rel="nofollow noopener" target="_blank">https://bsky.app/profile/did:plc:5kx3l44skokbyab6ycny437w/post/3li2aorawc22f</a> <a href="https://easystats.github.io/easystats/articles/index.html" rel="nofollow noopener" target="_blank">Articles</a>

Daniel 🕹️We put a lot of work into this update, making <a class="mention" href="https://bsky.app/profile/vincentab.bsky.social" rel="nofollow noopener" target="_blank">@vincentab.bsky.social</a> {marginaleffects} the default backend for estimating marginal means, contrasts and slopes. This was the "missing puzzle part" in our <a href="https://bsky.app/search?q=%23easystats" rel="nofollow noopener" target="_blank">#easystats</a> ecosystem, and it's great! Understand your regression models, made easy! <a href="https://bsky.app/search?q=%23rstats" rel="nofollow noopener" target="_blank">#rstats</a> RE: <a href="https://bsky.app/profile/did:plc:5kx3l44skokbyab6ycny437w/post/3lhhrtikwmc2q" rel="nofollow noopener" target="_blank">https://bsky.app/profile/did:plc:5kx3l44skokbyab6ycny437w/post/3lhhrtikwmc2q</a>

Daniel 🕹️Oh yes, next {modelbased} version will be great! <a href="https://bsky.app/search?q=%23rstats" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://bsky.app/search?q=%23easystats" rel="nofollow noopener" target="_blank">#easystats</a> RE: <a href="https://bsky.app/profile/did:plc:5kx3l44skokbyab6ycny437w/post/3lgr3qf4wmc2z" rel="nofollow noopener" target="_blank">https://bsky.app/profile/did:plc:5kx3l44skokbyab6ycny437w/post/3lgr3qf4wmc2z</a>

Rémi ThériaultThe <a href="https://mastodon.world/tags/easystats" class="mention hashtag" rel="tag">#easystats</a> team rarely meets in person but the best ideas always come out of it to expand and develop our collection of <a href="https://mastodon.world/tags/rstats" class="mention hashtag" rel="tag">#rstats</a> <a href="https://a.gup.pe/u/rstats" class="u-url mention">@rstats</a> packages!Here you can see the switch from RStudio to Positron by <a href="https://mastodon.world/@rempsyc" class="u-url mention">@rempsyc</a> as guided by <a href="https://fediscience.org/@strengejacke" class="u-url mention">@strengejacke</a> 😎

Daniel 🕹️Wallpapers are the new hex stickers <a href="https://bsky.brid.gy/hashtag/rstats" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://bsky.brid.gy/hashtag/easystats" rel="nofollow noopener" target="_blank">#easystats</a>

Daniel 🕹️But still, an impressive amount of news for this release: <a href="https://easystats.github.io/insight/news/index.html" rel="nofollow noopener" target="_blank">easystats.github.io/insight/news...</a> <a href="https://bsky.brid.gy/hashtag/rstats" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://bsky.brid.gy/hashtag/easystats" rel="nofollow noopener" target="_blank">#easystats</a> RE: <a href="https://bsky.app/profile/did:plc:5kx3l44skokbyab6ycny437w/post/3lbucui7rxs2e" rel="nofollow noopener" target="_blank">https://bsky.app/profile/did:plc:5kx3l44skokbyab6ycny437w/post/3lbucui7rxs2e</a> <a href="https://easystats.github.io/insight/news/index.html" rel="nofollow noopener" target="_blank">Changelog</a>

Rémi ThériaultNew publication in <a href="https://bird.makeup/users/psychonomic_soc" class="u-url mention">@psychonomic_soc</a> Behavior Research Methods!We dive deep into simplifying outlier detection in R using <a href="https://mastodon.world/tags/easystats" class="mention hashtag" rel="tag">#easystats</a> to follow good practices and make your data analysis more robust and replicable. Check it out! <a href="https://mastodon.world/tags/Rstats" class="mention hashtag" rel="tag">#Rstats</a> <a href="https://mastodon.world/tags/DataAnalysis" class="mention hashtag" rel="tag">#DataAnalysis</a> <a href="https://a.gup.pe/u/rstats" class="u-url mention">@rstats</a> <a href="https://doi.org/10.3758/s13428-024-02356-w" target="_blank" rel="nofollow noopener" translate="no">https://doi.org/10.3758/s13428-024-02356-w</a>

Isabella Ghement<a href="https://fediscience.org/@strengejacke" class="u-url mention" rel="nofollow noopener" target="_blank">@strengejacke</a> Sorry, Daniel! I responded to an old post:“Is it possible to export a correlation matrix from <a href="https://mastodon.online/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> to Excel? Yes. With colour based on the correlation coefficient for <a href="https://mastodon.online/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#dataviz</a>? Yes. library(rempsyc) cormatrix_excel(infert, file.name = "mymatrix") A huge thanks to  <a href="https://mastodon.online/tags/easystats" class="mention hashtag" rel="nofollow noopener" target="_blank">#easystats</a>'s 'correlation' package, and Jan Marvin Garbuszus's 'openxlsx2' package, the real powerhouses making this possible! easystats: @strengejacke, @wiernik, @mattansb and others!”

Rémi ThériaultThe <a href="https://mastodon.world/tags/rstats" class="mention hashtag" rel="tag">#rstats</a> datawizard package (from the <a href="https://mastodon.world/tags/easystats" class="mention hashtag" rel="tag">#easystats</a> ecosystem) has two very useful functions to deal with duplicates.* data_duplicated: Extract all duplicates including the first, unlike duplicated() or dplyr::distinct()* data_unique: by default selects the "best" duplicate

Rémi Thériault- All regression functions now provide a 95% Ci for the index of effect size, the semi-partial correlation squared (sr2), thanks to an update in <a href="https://mastodon.world/tags/easystats" class="mention hashtag" rel="tag">#easystats</a> 's {effectsize} package - New function to visualize outliers: plot_outliers() - New function to handle more complex contrast models, nice_lm_contrasts() - nice_assumptions() & nice_var() now supports list objects

Rémi ThériaultReport version 0.5.6 is now on CRAN!This version includes improvements to `report_sample()` and `report_effectsize()`, and bumps the minimum needed <a href="https://mastodon.world/tags/rstats" class="mention hashtag" rel="tag">#rstats</a> version to 3.6.Oh yeah... and I'm a proud new member of <a href="https://mastodon.world/tags/easystats" class="mention hashtag" rel="tag">#easystats</a> & the new maintainer for report :)<a href="https://easystats.github.io/report/index.html" target="_blank" rel="nofollow noopener" translate="no">https://easystats.github.io/report/index.html</a>

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