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August-2021.Rmd
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# August 2021 {-}
## August 1 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Sometimes you may wish to insert a textual table in a {ggplot2} plot the same way you insert text labels at a specified position.<br><br>The {geom_table} function from {ggpp} 📦 offers just the geometric layer! 🙌<a href="https://t.co/bQdaxiMffR">https://t.co/bQdaxiMffR</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/6raba4JIDV">pic.twitter.com/6raba4JIDV</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1421698346587201538?ref_src=twsrc%5Etfw">August 1, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 2 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">If you are used to {dplyr}'s pipeable syntax (using `%>%`) and wish to continue using it when you switch to {data.table}, the {dt} helper function from {tidytable} 📦 can help! 👩🔧<a href="https://t.co/YzFfw2meLF">https://t.co/YzFfw2meLF</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/3SQqnjj3Bz">pic.twitter.com/3SQqnjj3Bz</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1422062630156611584?ref_src=twsrc%5Etfw">August 2, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 3 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">If you are used to reading code with syntax highlighting, you may wish the same when code is printed in the terminal/console.<br><br>The {prettycode} function from the eponymous 📦 does exactly this! 🎨<a href="https://t.co/dF1WYPJSSc">https://t.co/dF1WYPJSSc</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/4fK9FjnTOu">pic.twitter.com/4fK9FjnTOu</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1422422070022090752?ref_src=twsrc%5Etfw">August 3, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 4 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Compared to CSS, Sass is a more flexible HTML styling framework. As it becomes ubiquitous, you may wish to learn how Sass code you are reading translates to familiar CSS.<br><br>The {sass} function from the eponymous 📦 does this 🔄<a href="https://t.co/FR8UlmQyTY">https://t.co/FR8UlmQyTY</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/3ZgYl0E6j3">pic.twitter.com/3ZgYl0E6j3</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1422796579480739843?ref_src=twsrc%5Etfw">August 4, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 5 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">A dot plot is a good visualization to represent the distribution of labeled numeric data.<br><br>The {ggdotplotstats} function from {ggstatsplot} 📦 easily produces these charts (with additional descriptive and inferential statistics) 🍒<a href="https://t.co/OLcqX643Vx">https://t.co/OLcqX643Vx</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/GZ3huWi9qU">pic.twitter.com/GZ3huWi9qU</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1423125858768797698?ref_src=twsrc%5Etfw">August 5, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 6 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">If you know C and wish to understand the implementation of R data structures at C-level as S-expressions or SEXPs (<a href="https://t.co/pCGK6tlgNB">https://t.co/pCGK6tlgNB</a>), the {sxp} function from {lobstr} 📦 can be helpful! ⛏️<a href="https://t.co/pb7um2e1RR">https://t.co/pb7um2e1RR</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/NYrdqEJqJW">pic.twitter.com/NYrdqEJqJW</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1423525786103988224?ref_src=twsrc%5Etfw">August 6, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 7 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">For teaching or for quality assessment, we may sometimes wish to visualize residuals of a model to check the goodness of fit.<br><br>The {stat_fit_deviations} function from {ggpmisc} 📦 makes this easy in {ggplot2} 🙌<a href="https://t.co/YezhmuyXgP">https://t.co/YezhmuyXgP</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/M6o4MAcnIH">pic.twitter.com/M6o4MAcnIH</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1423861409348194308?ref_src=twsrc%5Etfw">August 7, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 8 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">If we need to write an "impure" function that modifies R landscape (e.g. changes working directory), we'd do it so that behavior of other R functions doesn't change.<br><br>The {local_} function family in {withr} 📦 can help to do so! 🥡<a href="https://t.co/CgklVPJp7n">https://t.co/CgklVPJp7n</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/rrpbojxoev">pic.twitter.com/rrpbojxoev</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1424211657816002570?ref_src=twsrc%5Etfw">August 8, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 9 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Gelman and Hill (2007) propose a binned residual plot to check the under-or over-fitting of binomial logistic regression models. 0⃣1⃣<br><br>The {binned_residuals} function from {performance} 📦easily produces such visualization 🔍<a href="https://t.co/gAAjFNIf92">https://t.co/gAAjFNIf92</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/cKw8CxpJfC">pic.twitter.com/cKw8CxpJfC</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1424581913394794506?ref_src=twsrc%5Etfw">August 9, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 10 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Even after doing everything you can in R, sometimes you may want to further improve the performance of your code by rewriting it in C++.<br><br>The {cpp_function} from {cpp11} 📦 provides a convenient way to do so 👏<a href="https://t.co/5fdrx9KPc6">https://t.co/5fdrx9KPc6</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/IbKeeuZdjb">pic.twitter.com/IbKeeuZdjb</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1424956275113218075?ref_src=twsrc%5Etfw">August 10, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 11 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">For common statistical tests, we may wish to extract not only the details of inferential statistics but also effect size estimates.<br><br>Functions, like {two_sample_test}, from {statsExpressions} 📦 provide a tidy way to do so 🙌<a href="https://t.co/MJ1avaR6WJ">https://t.co/MJ1avaR6WJ</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/zKFUetTeXR">pic.twitter.com/zKFUetTeXR</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1425332351802937344?ref_src=twsrc%5Etfw">August 11, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 12 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Sometimes data analysis may require finding the first non-missing value (to replace it with another value, to create a new variable, etc.) across vectors or columns.<br><br>The {coalesce} function from {dplyr} 📦 comes in handy here 🔍<a href="https://t.co/Q7EPEAmFZC">https://t.co/Q7EPEAmFZC</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/Upqhjd5eJY">pic.twitter.com/Upqhjd5eJY</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1425698886409129987?ref_src=twsrc%5Etfw">August 12, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 13 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Unified Modeling Language provides a way to visualize the design of a system, and nomnoml (<a href="https://t.co/X9yAhs166L">https://t.co/X9yAhs166L</a>) is online tool to draw UML diagrams.<br><br>The {nomnoml} function from eponymous 📦 renders UML diagrams from R itself! 📝<a href="https://t.co/CBZgudgltr">https://t.co/CBZgudgltr</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/KmksKDgQPz">pic.twitter.com/KmksKDgQPz</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1426055782185979906?ref_src=twsrc%5Etfw">August 13, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 14 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Sometimes you might need to analyze the scanned text data present in a PDF.<br><br>The {pdf_ocr_text} function from {pdftools} 📦 can extract such text ⛏<a href="https://t.co/cnoqBhZ0Ys">https://t.co/cnoqBhZ0Ys</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/1LMVHfGgsL">pic.twitter.com/1LMVHfGgsL</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1426401299294216195?ref_src=twsrc%5Etfw">August 14, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 15 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Although {rmarkdown} 📦 makes writing reports easy, it lacks automatic numbering of and cross-referencing (for figures, tables, sections, etc) features.<br><br>The 2nd variant of function family in {bookdown} 📦 provides these features ✍️<a href="https://t.co/EKFeVqQJb1">https://t.co/EKFeVqQJb1</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/RcIAtscT0K">pic.twitter.com/RcIAtscT0K</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1426769735732109312?ref_src=twsrc%5Etfw">August 15, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 16 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">The {tmap} 📦 provides API to create (static and interactive) thematic maps with a syntax resembling that of {ggplot2}.<br><br>The {qtm} function provides a convenient short-hand to draw such maps quickly! 🗺️<a href="https://t.co/WDYN5ofasw">https://t.co/WDYN5ofasw</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/PZk4thnd4q">pic.twitter.com/PZk4thnd4q</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1427121156109316099?ref_src=twsrc%5Etfw">August 16, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 17 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Sometimes we need to convert a deeply nested list into a rectangular dataframe. But in doing so, we may not wish to bring to the top all list elements.<br><br>The {hoist} function from {tidyr} 📦 can help with such transformations 🛠️<a href="https://t.co/yrhHtF2YVl">https://t.co/yrhHtF2YVl</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/m5TvEse0bm">pic.twitter.com/m5TvEse0bm</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1427486622736584705?ref_src=twsrc%5Etfw">August 17, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 18 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Sometimes we want to draw text in a {ggplot2} plot so that it fits inside a defined area without manually fiddling around with font size.<br><br>The {geom_fit_text} function from {ggfittext} 📦 resizes text to fit inside a defined box 🗜️<a href="https://t.co/GiaXx9QEgb">https://t.co/GiaXx9QEgb</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/krnvdRqIWz">pic.twitter.com/krnvdRqIWz</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1427874886140243969?ref_src=twsrc%5Etfw">August 18, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 19 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Posterior predictive check for a regression model uses simulated data under the fitted model to check for any discrepancies from observed data.<br><br>The {pp_check} function from {performance} 📦 carries out and visualizes this check 🔍<a href="https://t.co/qk7dnlHyP5">https://t.co/qk7dnlHyP5</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/R95Evuhhdp">pic.twitter.com/R95Evuhhdp</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1428191429512376325?ref_src=twsrc%5Etfw">August 19, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 20 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">If you use {dplyr} 📦, you may wish to avoid the {group_by} + {ungroup} workflow for grouped analysis if you just need to carry out a single operation.<br><br>The {with_groups} function provides an alternative for such contexts ✂️<a href="https://t.co/FiEeP2loxm">https://t.co/FiEeP2loxm</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/XANjLS22ki">pic.twitter.com/XANjLS22ki</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1428569544436629504?ref_src=twsrc%5Etfw">August 20, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 21 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Sometimes you may wish to display results from a statistical test in a graphics you have prepared.<br><br>The {statsExpressions} 📦 functions, like {corr_test}, provide the necessary expressions 👏<a href="https://t.co/ERUsOJKliZ">https://t.co/ERUsOJKliZ</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/4T3awwOSFQ">pic.twitter.com/4T3awwOSFQ</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1428934860538884101?ref_src=twsrc%5Etfw">August 21, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 22 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">For some reason, you may need to prepare a calendar in R and you might prefer to do so in the {ggplot2} framework.<br><br>The {calendR} function from the eponymous 📦 provides customizable monthly or yearly calendars 📅<a href="https://t.co/KPx4ozhjrV">https://t.co/KPx4ozhjrV</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/C1dM0FSllv">pic.twitter.com/C1dM0FSllv</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1429296120568721425?ref_src=twsrc%5Etfw">August 22, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 23 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">The {mlr3} project is a modern and powerful object-oriented framework for doing machine learning (ML) in R.<br><br>The {autoplot} function from {mlr3viz} 📦 provides a model-agnostic general-purpose tool for visualizing ML algorithms! 📊📈<a href="https://t.co/ky8yhLtYyG">https://t.co/ky8yhLtYyG</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/YBu2rLz44K">pic.twitter.com/YBu2rLz44K</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1429661937588215809?ref_src=twsrc%5Etfw">August 23, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 24 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Instead of using third-party softwares, you may sometimes wish to edit (join, convert, etc.) images from within R itself.<br><br>The {image_} function family from {magick} provide such helpers 📷🎞<a href="https://t.co/ald6jelSWG">https://t.co/ald6jelSWG</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/y4H67cTPnY">pic.twitter.com/y4H67cTPnY</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1430030390052409350?ref_src=twsrc%5Etfw">August 24, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 25 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">For correlation hypotheses, in addition to the joint distribution in a scatterplot, one may also wish to visualize the marginal distributions for each variable.<br><br>This is easy to do using the {_side} function family from {ggside} 📦 !<a href="https://t.co/vQYV4ELEaG">https://t.co/vQYV4ELEaG</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/VSBpVqtO6K">pic.twitter.com/VSBpVqtO6K</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1430395292910858246?ref_src=twsrc%5Etfw">August 25, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 26 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">The UpSet plot is an efficient alternative to the Venn Diagram for visualizing a complex intersections of multiple sets.<br><br>The {scale_x_upset} function from {ggupset} 📦 provides a {ggplot2} scale to create UpSet plots easily 🧱<a href="https://t.co/5rwIgAhzxa">https://t.co/5rwIgAhzxa</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/wk352FtXb0">pic.twitter.com/wk352FtXb0</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1430762352635523076?ref_src=twsrc%5Etfw">August 26, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 27 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Sometimes (e.g. for meta-analysis) we may need to either extract effect size from a test statistic or convert the available effect size to a more suitable one.<br><br>The {_to_} function family from {effectsize} can do such conversions 🔄<a href="https://t.co/EO6hb9NkER">https://t.co/EO6hb9NkER</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/2ItAfBPwps">pic.twitter.com/2ItAfBPwps</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1431137026376617988?ref_src=twsrc%5Etfw">August 27, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 28 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">A correlation matrix is a nifty visualization for displaying relationships between multiple variables.<br><br>The {ggcorrmat} function from {ggstatsplot} 📦 creates such matrices with significance testing and other descriptive details ↔️<a href="https://t.co/rbwEs6qVON">https://t.co/rbwEs6qVON</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/EDPanyNE0x">pic.twitter.com/EDPanyNE0x</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1431489383752945665?ref_src=twsrc%5Etfw">August 28, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 29 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">For a given generic or class, sometimes we may be interested to systematically list and investigate the available S3/S4 methods.<br><br>The {_methods_} function family in {sloop} 📦 provides the needed helpers 📝<a href="https://t.co/EV7AVaSHPF">https://t.co/EV7AVaSHPF</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/XxFb3Es3pB">pic.twitter.com/XxFb3Es3pB</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1431844685169967104?ref_src=twsrc%5Etfw">August 29, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 30 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">When we are interested in studying group differences, sometimes we may wish to annotate our visualizations with results from significance testing.<br><br>The {geom_signif} from {ggsignif} 📦 provides just the geometric layer! ⚖️<a href="https://t.co/O9XM5nHdgf">https://t.co/O9XM5nHdgf</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/iZhilHeGO3">pic.twitter.com/iZhilHeGO3</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1432224056384831490?ref_src=twsrc%5Etfw">August 30, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## August 31 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">YAML language is ubiquitous, esp. in configuration files, and sometime we may need to convert R object to a YAML object.<br><br>The {as_yml} function from {ymlthis} 📦 makes this conversion easy 🔄<a href="https://t.co/GSTD3slB0k">https://t.co/GSTD3slB0k</a><a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/DataScience?src=hash&ref_src=twsrc%5Etfw">#DataScience</a> <a href="https://t.co/YeVunUZoR8">pic.twitter.com/YeVunUZoR8</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1432594086834409473?ref_src=twsrc%5Etfw">August 31, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>