Top 15 ggplot2 extensions, by downloads during the last month.

Some surprises here, at least for me.

#rstats

Code: https://gist.github.com/carlislerainey/1f7d1da41b7f9715b1e01ebf79d21b9d

“Does Threat Cause Increases in Conservatism? Evidence from Three Large Experiments in the United States Says No”

From Abigail Cassario, Mark Brandt, and Aymin Triki

PsyArXiv Preprint: https://doi.org/10.31234/osf.io/eqznx_v1

"Improving the Teaching of Applied Statistics: Putting the Data Back into Data Analysis"

from Singer and Willet

jstor: https://www.jstor.org/stable/pdf/2685342.pdf?casa_token=351yQJiBIjkAAAAA:CCkLkUEPCJGnuWgVQY47Ret9YCe7sZafTnL5WuzPV9fmaq98lnqtAgViBKKG647ZMsrvgjPrhYd1hjelGljvviaGTDJ_RmLRLiaKbyG79YTJKbjl5A

👇good👍
1️⃣real data
2️⃣context info
3️⃣interesting
4️⃣teaches something real
5️⃣allows many methods
6️⃣raw
7️⃣case ID

"What Good is a Regression? Inference to the Best Explanation and the Practice of Political Science Research"

from Spirling and Stewart

journal: https://doi.org/10.1086/734280

"The value of preregistration for psychological science: A conceptual analysis"

from Lakens

paper: https://www.jstage.jst.go.jp/article/sjpr/62/3/62_221/_pdf/-char/ja

"Preregistration does not improve the transparent evaluation of severity in Popper’s philosophy of science or when deviations are allowed"

preprint: https://osf.io/preprints/metaarxiv/yqvtu_v1

"Social media consensus paper causes social media uproar"

link: https://www.science.org/content/article/social-media-consensus-paper-causes-social-media-uproar

original paper: https://osf.io/preprints/psyarxiv/b94dy_v1

new preprint

"On the Foundations of the Design-Based Approach"

from Aronow, Jang, and Offer-Westort

From Weingast's essay "Caltech Rules":

"Papers must focus on one main point. Do not attempt to enrich your paper with many
asides... It is far better to have a narrow, focused, and useful paper than a rich one that is ignored."

Link to essay: https://weingast.people.stanford.edu/caltech-rules-writing

From Weingast's essay "Caltech Rules":

"With rare exceptions, papers do not write themselves. Transforming a good idea into a good paper is a difficult process. A clear understanding of what each part of your paper must accomplish is essential to this process."

Link to essay: https://weingast.people.stanford.edu/caltech-rules-writing