@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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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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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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Replying to @IsmaelLCalandri
@IsmaelLCalandri @patilindrajeets
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Replying to @malte_grosser
Ask and ye shall receive 😅 bookdown.org/IndrajeetPatil/… Thanks a lot for the suggestion! 🙌
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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@rfunctionaday24 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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Replying to @malte_grosser
Good idea! Might work on that soon, but until then this timeline widget should come in handy 🧵 publish.twitter.com/?query=h…
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Replying to @Bishal_Bhardwaj
The tweets from the past will always be accessible. They will neither be removed nor changed in any way.
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Replying to @GentForAnth
@GentForAnth @patilindrajeets
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Replying to @fedenichetti
@fedenichetti @patilindrajeets
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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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Replying to @JonGretar
In real use cases, this routine will actually be used to access a variable - specified by the user - from a data frame. Note that now `data$x` won’t work because we don’t know a priori what `x` is going to be.
Yes, I have shared it in the past 👇 But, AFAIK, that operator is used for side effects. So you will be able to print that column but won’t be able to assign it to an object. I think.
R Function A Day@rfunctionaday22 Feb 2021
Although a number of functions tend to have a {data} argument, some don’t. For such functions, the pipe operator (%>%) from {magrittr} 📦 won’t work. In such contexts, one can use the exposition pipe operator (%$%) 👏 magrittr.tidyverse.org/refer… #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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Replying to @Fischuu
None at all. In fact, AFAIK, the implementation of this data type in {reticulate} is based on names lists. Dictionary just provides a familiar name for bilingual users to a data structure that is not native to R but can be easily implemented.
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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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