-
Notifications
You must be signed in to change notification settings - Fork 2
/
April-2021.Rmd
121 lines (61 loc) · 25.8 KB
/
April-2021.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
# April 2021 {-}
## April 1 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Before accepting regression model estimates, if multicollinearity is problematic (it doesn't necessarily have to be) needs to be checked.<br><br>The {check_collinearity} function from {performance} 📦 offers pretty way to check this 📊<a href="https://t.co/sFMj9vbVIe">https://t.co/sFMj9vbVIe</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/xdrsVbz40f">pic.twitter.com/xdrsVbz40f</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1377498256876433409?ref_src=twsrc%5Etfw">April 1, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 2 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Sometimes you wish to visually highlight only a certain portion of the data while retaining the full dataset for reference.<br><br>The {gghighlight} function from the eponymous 📦 helps you do this effortlessly:<a href="https://t.co/eibrcjxQ1I">https://t.co/eibrcjxQ1I</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/TNUFlLnnMs">pic.twitter.com/TNUFlLnnMs</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1377868102252302337?ref_src=twsrc%5Etfw">April 2, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 3 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">k-means is a popular clustering algorithm but has a disadvantage (in unsupervised context) that k should be picked in advance.<br><br>The {kmeansruns} function from {fpc} 📦 aids by running k-means over a range of k and returns the best k:<a href="https://t.co/bBYsUmhrRz">https://t.co/bBYsUmhrRz</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/U0ecl17XT0">pic.twitter.com/U0ecl17XT0</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1378237895543259139?ref_src=twsrc%5Etfw">April 3, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 4 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">On a (Easter) Sunday, if you don't want to work but have to, you deserve some light entertainment for yourself.<br><br>For such occasions, the {kittyR} function from the eponymous 📦 can do the trick 🐈<a href="https://t.co/74vJiwQSAx">https://t.co/74vJiwQSAx</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/Cfq5azg6KQ">pic.twitter.com/Cfq5azg6KQ</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1378609615068348419?ref_src=twsrc%5Etfw">April 4, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 5 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Often a survey platform might collapse multiple entries of data into a single column which then need to be separated into individual rows.<br><br>The {separate_rows} function from {tidy} is designed to make this easy:<a href="https://t.co/rESDf7zU3i">https://t.co/rESDf7zU3i</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/S1j8cjBaqX">pic.twitter.com/S1j8cjBaqX</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1378969384983609344?ref_src=twsrc%5Etfw">April 5, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 6 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Wordclouds help visualize word frequencies in qualitative work, and a dedicated geom in grammar of graphics framework can give more flexibility to create them.<br><br>The {ggwordcloud} function from the eponymous 📦 provides such a geom 👌<a href="https://t.co/mk8DnYJY8p">https://t.co/mk8DnYJY8p</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/yiwFn7QHiR">pic.twitter.com/yiwFn7QHiR</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1379350183255937031?ref_src=twsrc%5Etfw">April 6, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 7 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">As a developer or a user, if you are curious about how your favorite R package has performed (in terms of usage) over years, you can create an informative visualization using the {cranDownloads} function from {packageRank} 📦<br> <a href="https://t.co/64DqUbmAFF">https://t.co/64DqUbmAFF</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/GPGIgZiDrf">pic.twitter.com/GPGIgZiDrf</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1379689715721515009?ref_src=twsrc%5Etfw">April 7, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 8 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Often when we are reporting quantities (time, information, etc. units), we wish to report them in human-readable form.<br><br>The {pretty_} function family from {prettyunits} 📦 is designed to do exactly this! ✅<a href="https://t.co/9QMWvZIODB">https://t.co/9QMWvZIODB</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/ZUX6vbRNpF">pic.twitter.com/ZUX6vbRNpF</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1380053650077278212?ref_src=twsrc%5Etfw">April 8, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 9 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">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.<br><br>The {check_factorstructure} function from {parameters} provides an informative and verbose way 🔍<a href="https://t.co/MNQZMkum30">https://t.co/MNQZMkum30</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/hdeS0w3NJF">pic.twitter.com/hdeS0w3NJF</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1380400456170622976?ref_src=twsrc%5Etfw">April 9, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 10 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">For pedagogical, research, etc. purposes, one may sometimes wish to create fake data.<br><br>The {ch_} function family from {charlatan} 📦 supports creation of different types of data across multiple languages 🪄<a href="https://t.co/mERCQ6aCzf">https://t.co/mERCQ6aCzf</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/JClu9pnzqO">pic.twitter.com/JClu9pnzqO</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1380770884516974593?ref_src=twsrc%5Etfw">April 10, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 11 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">If you are fluent in {dplyr} and wish to learn more about {data.table}, it can be nifty to have a function that can provide a syntax translation between the two.<br><br>The {show_query} function from {dtplyr} 📦 does just that! 🔄<a href="https://t.co/RKhCwjgNSt">https://t.co/RKhCwjgNSt</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/uj9NrXyNhY">pic.twitter.com/uj9NrXyNhY</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1381129552668323840?ref_src=twsrc%5Etfw">April 11, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 12 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Highest Density Interval (HDI) is a credible interval that contains the most probable effect values.<br><br>The {hdi} function from {bayestestR} helps to compute and visualize HDI easily for posterior distributions from Bayesian models 📊<a href="https://t.co/ui1FRXgqzq">https://t.co/ui1FRXgqzq</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/w4TcHpaVOP">pic.twitter.com/w4TcHpaVOP</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1381486487296950274?ref_src=twsrc%5Etfw">April 12, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 13 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Google trends analytics is helpful in the study of global web search patterns.<br><br>The {gtrends} function from {gtrendsR} 📦 helps extract and visualize this data for specified periods and geolocations 🔎<a href="https://t.co/yS01ELq5q4">https://t.co/yS01ELq5q4</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/mhGTSXB2rN">pic.twitter.com/mhGTSXB2rN</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1381848183928729600?ref_src=twsrc%5Etfw">April 13, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 14 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Plots in the grammar of graphics framework are a combination of layers of geometric elements.<br><br>The {layer_} function family in {ggplot2} 📦 extracts layer details, which can be helpful for testing and exploring aesthetic defaults 🗂<a href="https://t.co/mIq2G3qAo8">https://t.co/mIq2G3qAo8</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/jNUcLQ6nsC">pic.twitter.com/jNUcLQ6nsC</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1382220227426017280?ref_src=twsrc%5Etfw">April 14, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 15 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">In an age where virtual assistant programs have become ubiquitous, you may also wish to have one that helps you find solutions to common ggplot formatting problems.<br><br>The {gghelp} function {ggx} mimics behavior of such an assistant 📝<a href="https://t.co/6VQzRqbrgp">https://t.co/6VQzRqbrgp</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/esK1W6xMEj">pic.twitter.com/esK1W6xMEj</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1382587044560519168?ref_src=twsrc%5Etfw">April 15, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 16 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Although a no. of 📦s help assess validity of regression model assumptions visually, only a handful cover time series analysis.<br><br>The {ggtsdiag} function from {ggfortify} 📦 provides a comprehensive diagnostic check for such models 📈<a href="https://t.co/iJaZ6bD6e1">https://t.co/iJaZ6bD6e1</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/aeGlPV3IXn">pic.twitter.com/aeGlPV3IXn</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1382968368584593408?ref_src=twsrc%5Etfw">April 16, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 17 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Often one needs to report statistical analysis in a publication/report, and formatting them manually can be tedious and error-prone 📄 <br><br>The {report} function from the eponymous 📦 automates this process to follow best practices ✍️<a href="https://t.co/gAaRN4Qqr1">https://t.co/gAaRN4Qqr1</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/59QS89HiLE">pic.twitter.com/59QS89HiLE</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1383310182751477766?ref_src=twsrc%5Etfw">April 17, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 18 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">If your choice of color palette is not color-blind friendly, color differences in a plot may not be obvious to color-blind people.<br><br>The {replacePlotColor} function from {colorBlindness} 📦 helps you replace colors with safe colors<a href="https://t.co/AN9lyD9fpc">https://t.co/AN9lyD9fpc</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/coudegYOfm">pic.twitter.com/coudegYOfm</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1383669779064451075?ref_src=twsrc%5Etfw">April 18, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 19 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Exploratory data analysis often involves specifying and comparing multiple regression models.<br><br>The {modelplot} function from {modelsummary} 📦 provides pretty dot-and-whisker plots to display/compare regression estimates from models:<a href="https://t.co/0vyzYY9bUy">https://t.co/0vyzYY9bUy</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/ZtkV0EUjVd">pic.twitter.com/ZtkV0EUjVd</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1384024769775890433?ref_src=twsrc%5Etfw">April 19, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 20 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Next to statistical significance, we are often interested in the practical relevance of an effect.<br><br>The {interpret_} function family from {effectsize} 📦 provides such interpretation guidelines, which can differ across disciplines 📏<a href="https://t.co/CaqThRABhy">https://t.co/CaqThRABhy</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/3ywbl2imPj">pic.twitter.com/3ywbl2imPj</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1384389670100996096?ref_src=twsrc%5Etfw">April 20, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 21 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">The {purrr::map_} functions apply a function to list elements.<br>But what if one wants to apply a function not to each element of the list but to all combinations of elements?<br><br>The {xmap_} functions from {crossmap} 📦 do exactly this!<a href="https://t.co/9ITKhUqV9P">https://t.co/9ITKhUqV9P</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/woQenHnhfN">pic.twitter.com/woQenHnhfN</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1384751414413598720?ref_src=twsrc%5Etfw">April 21, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 22 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">PCA is a popular method to reduce the dimensionality of multivariate data and a biplot is a useful visualization method for the same. <br><br>The {fviz_pca_biplot} function from {factoextra} 📦 makes it effortless to make elegant biplots:<a href="https://t.co/DRGesAG4vq">https://t.co/DRGesAG4vq</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/RB4BoCDp1S">pic.twitter.com/RB4BoCDp1S</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1385099303706845187?ref_src=twsrc%5Etfw">April 22, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 23 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Sometimes you just want to convert the source code from R script (.R) into a new Markdown (.md) document/report.<br><br>The {spin} function from {knitr} 📦 makes this conversion effortless! 🪄<a href="https://t.co/cBaYSC5nc8">https://t.co/cBaYSC5nc8</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/u1kIa8Of9T">pic.twitter.com/u1kIa8Of9T</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1385466101027549185?ref_src=twsrc%5Etfw">April 23, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 24 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">If one correlation is significant, while the other isn't, it's a fallacy to conclude that difference in correlations itself is statistically significant.<br><br>The {cocor} function from eponymous 📦 helps to formally test this difference:<a href="https://t.co/9CjLNcqffG">https://t.co/9CjLNcqffG</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/XiJ5OqIExv">pic.twitter.com/XiJ5OqIExv</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1385834193582804993?ref_src=twsrc%5Etfw">April 24, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 25 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Confusion matrix visualization helps assess the performance of a (binary or multi-class) classification algorithm.<br><br>The {plot_confusion_matrix} function from {cvms} 📦 produces elegant and informative confusion matrix plots 🗄<a href="https://t.co/NHxGNS8XnD">https://t.co/NHxGNS8XnD</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/SZWvibYAQp">pic.twitter.com/SZWvibYAQp</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1386193395081744386?ref_src=twsrc%5Etfw">April 25, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 26 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">As trivial as combining multiple characters to form a single phrase sounds, the common solutions return outputs that are imperfect for human readers.<br><br>The {combine_words} helper function from {knitr} 📦 fills in this gap! 🙌<a href="https://t.co/M0CgOUU0ed">https://t.co/M0CgOUU0ed</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/XuCNHf3BFi">pic.twitter.com/XuCNHf3BFi</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1386568769217208322?ref_src=twsrc%5Etfw">April 26, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 27 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Although a number of 📦s provide functions to visualize a one-way ANOVA design, few support visualizing more complex, multi-way ANOVA designs.<br><br>The {afex_plot} function from {afex} 📦 is one such function ! 🙌📊<a href="https://t.co/3px5ySCzrd">https://t.co/3px5ySCzrd</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/3g9hkZ3ySy">pic.twitter.com/3g9hkZ3ySy</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1386924926490324993?ref_src=twsrc%5Etfw">April 27, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 28 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Markdown has a syntax that is enviable for its ease and simplicity. So one might naturally wish to use it for annotations in {ggplot2} plots.<br><br>The {element_markdown} function from {ggtext} 📦 magically helps to do exactly this! 🎉<a href="https://t.co/54WpoyrVje">https://t.co/54WpoyrVje</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/irr8gRVaxf">pic.twitter.com/irr8gRVaxf</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1387274449431506944?ref_src=twsrc%5Etfw">April 28, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 29 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">If we have sensitive categorical data (e.g., gender, race, etc.), we might sometimes be required to anonymize them before carrying out any analysis.<br><br>The {fct_anon} function from {forcats} 📦 helps exactly with this step 🗃️<a href="https://t.co/xsR3HipYqu">https://t.co/xsR3HipYqu</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/C6apoc6fEP">pic.twitter.com/C6apoc6fEP</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1387633477521137664?ref_src=twsrc%5Etfw">April 29, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## April 30 {-}
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Google's Tesseract (<a href="https://t.co/tJkaT2vH2j">https://t.co/tJkaT2vH2j</a>), a powerful optical character recognition engine, can extract text embedded in images from over 100 languages!<br><br>The {ocr} function from {tesseract} 📦 provides access to this engine 👽<a href="https://t.co/H0vHvn59sQ">https://t.co/H0vHvn59sQ</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/g0GMKB9JEy">pic.twitter.com/g0GMKB9JEy</a></p>— R Function A Day (@rfunctionaday) <a href="https://twitter.com/rfunctionaday/status/1387999446646939649?ref_src=twsrc%5Etfw">April 30, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>