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R Function A Day @rfunctionaday

R function a day keeps the madness away 🧘‍♀️ — If you’re a new follower, check out older posts as well 😊 — From 24.01.2021 to 24.01.2022 — by @patilindrajeets

Joined January 2021
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R Function A Day@rfunctionaday
25 Jan 2022
As requested by some of you, there is now a book of these posts! 📗 bookdown.org/IndrajeetPatil/… Makes it easy to- 📑 read 🔍 search 🔗 share etc. It ain't pretty, but that's the best I'd do in a day 😅 PRs welcome if you notice that something is amiss 🙏 #rstats #DataScience

R Function A Day@rfunctionaday
24 Jan 2022
Today concludes this 1-year hobby project. There won’t be new posts, so feel free to unfollow, but do keep revisiting! 🙃 With > 22K followers in 365 posts, I guess you enjoyed reading them as I much as I’d preparing them. 😅 Best luck with your jouRneys! 🤞 @patilindrajeets
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If you want to get a quick overview of descriptive statistics for a numeric variable, {describe_distribution} from {parameters} 📦 is your friend 🙌 easystats.github.io/paramete… Also works with a {grouped_} dataframe from {dplyr} 👏 #rstats #DataScience
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This function no longer resides in {parameters} 📦. It can now be found in {datawizard} 📦: easystats.github.io/datawiza…

Describe a distribution — describe_distribution

This function describes a distribution by a set of indices (e.g., measures of centrality, dispersion, range, skewness, (excess) kurtosis).

easystats.github.io
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Factor analysis (FA) can help reduce many features to a few latent features. But one first needs to check if data is suitable for FA. The {check_factorstructure} function from {parameters} provides an informative and verbose way 🔍 easystats.github.io/paramete… #rstats #DataScience
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This function no longer resides in {parameters} 📦. It can now be found in {performance} 📦: easystats.github.io/performa…

Check suitability of data for Factor Analysis (FA) with Bartlett's Test of Sphericity and KMO —...

This checks whether the data is appropriate for Factor Analysis (FA) by running the Bartlett's Test of Sphericity and the Kaiser, Meyer, Olkin (KMO) Measure of Sampling Adequacy (MSA). See details...

easystats.github.io
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Today concludes this 1-year hobby project. There won’t be new posts, so feel free to unfollow, but do keep revisiting! 🙃 With > 22K followers in 365 posts, I guess you enjoyed reading them as I much as I’d preparing them. 😅 Best luck with your jouRneys! 🤞 @patilindrajeets
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If we need to bind multiple dataframes by rows, we may first wish to check if this can be done successfully. The {compare_df_cols} function from {janitor} 📦 provides a summary of data types to check this! 🍎🍏 sfirke.github.io/janitor/ref… #rstats #DataScience
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While working in a piped workflow, if you need to extract a single column, the syntax to do so can be a bit cumbersome. The {pull} function from {dplyr} 📦 provides a more readable syntax to this end! 💄 dplyr.tidyverse.org/referenc… #rstats #DataScience
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Visualizing data along an Archimedean spiral can efficiently reveal periodic patterns in time series data. The {spiral_*} function family from {spiralize} 📦 draws such spiral plots flexibly! 🌀 jokergoo.github.io/spiralize… #rstats #DataScience
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Serialization changes objects to a byte stream that can be saved to a binary file, while deserializing does the reverse. The {q*} function family from {qs} 📦 provides a performant way to serialize or deserialize any R object! ⚡️ rdrr.io/cran/qs/man/ #rstats #DataScience
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Sometimes you may wish to include some patterns or images in plots for enhanced storytelling. The {image*} or {pattern*} function family from {patternplot} 📦 provides a way to do so! ⚜️ rdrr.io/cran/patternplot/man… #rstats #DataScience
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Python dictionary is an unordered data type with key-value pairs that allows accessing values, not by indexing, but via unique keys. The {py_dict} function from {reticulate} 📦 gives you access to this data type in R! 📖 rstudio.github.io/reticulate… #rstats #DataScience
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Sometimes, especially in the context of statistical modeling, there might be infinite or NaN's present in outputs that we may wish to replace with NAs. The {zap_inf} helper function from {sjmisc} 📦 does exactly this! ♾ strengejacke.github.io/sjmis… #rstats #DataScience
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A horizon plot is a compact time-series data visualization to plot and compare different moving values. The {geom_horizon} function from {ggHoriPlot} 📦 provides just the geometric layer! ⬆️⬇️ rivasiker.github.io/ggHoriPl… #rstats #DataScience
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To save space, IP addresses are often stored as integers, and if we receive such data, we may wish to convert them to the familiar human-readable form. The {integer_to_ip} function from {ipaddress} 📦 makes this conversion easy! 🕸 davidchall.github.io/ipaddre… #rstats #DataScience
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Although often you can easily read data from a single CSV file, sometimes you have to read a dataset stored in one of the Excel spreadsheets. The {read_xlsx} function from {readxl} 📦 provides an easy syntax to do so! 📝 readxl.tidyverse.org/referen… #rstats #DataScience
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Sometimes you want to quickly compute and visualize frequencies for all categorical variables in the data. The {inspect_cat} function from {inspectdf} 📦 does so, while labeling most frequent levels and highlighting missing data! 📊 alastairrushworth.github.io/… #rstats #DataScience
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Filename extensions (.py, .csv, .pdf, etc.) decide the characteristics and intended usage of files, and we may wish to work with them further in R. The {*_ext} function family in {xfun} 📦 provides helpers to do so! 🗂 rdrr.io/cran/xfun/man/file_e… #rstats #DataScience
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Across disciplines (physics, engineering, etc.), a quiver plot helps visualize vector fields as arrows, and we may need to create such a plot in R. The {geom_quiver} function from {ggquiver} 📦 offers just the geometric layer! 🌪 pkg.mitchelloharawild.com/gg… #rstats #DataScience
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A list is a non-atomic vector, and sometimes you may wish to convert (or flatten) it to an atomic one. The {flatten} function family from {purrr} 📦 provides helpers to do this with type stability! 🗜 purrr.tidyverse.org/referenc… #rstats #DataScience
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PCA is a popular dimensionality reduction technique and sometimes you may wish to reports its results in a report. The {tab_pca} function from {sjPlot} 📦 produces publication-ready HTML table for PCA with elegant defaults! 📝 strengejacke.github.io/sjPlo… #rstats #DataScience
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To ensure reproducibility of R script, you may wish it to download needed package versions on a certain date. The {create_checkpoint} function from {checkpoint} 📦 creates a local library with the needed package versions! 📑 rdrr.io/cran/checkpoint/man/… #rstats #DataScience
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