ggsignif VS TidyTuesday

Compare ggsignif vs TidyTuesday and see what are their differences.

ggsignif

Easily add significance brackets to your ggplots (by const-ae)
Rstats ggplot-extension significance-stars Ggplot2 Asterisk
Source Code
const-ae.github.io
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TidyTuesday

My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2. (by Z3tt)
Rstats tidytuesday tidytuesday-challenge r4ds Ggplot2 Tidyverse Dataviz
Source Code
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ggsignif TidyTuesday
1 2
544 735
- -
3.3 4.4
5 days ago 7 months ago
R R
GNU General Public License v3.0 only -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ggsignif

Posts with mentions or reviews of ggsignif. We have used some of these posts to build our list of alternatives and similar projects.
  • Specifying significance brackets for comparisons
    1 project | /r/rstats | 16 Nov 2021
    I think that most people likely do this outside of R (i.e. export their plot and add brackets in Illustrator). However, this looks like a straightforward package to add significance brackets and lets you specify exactly where to put them.

TidyTuesday

Posts with mentions or reviews of TidyTuesday. We have used some of these posts to build our list of alternatives and similar projects.
  • Who else ..?
    1 project | /r/ProgrammerHumor | 2 Mar 2022
    I’ll just leave this here: https://github.com/z3tt/TidyTuesday
  • At what point does data visualization require photoshop?
    1 project | /r/datascience | 28 Mar 2021
    Cédric Scherer makes visualizations on par with these entirely in R and all his code is available on GitHub: https://github.com/Z3tt/TidyTuesday I think you could learn a lot by studying his code. He also has some tutorials: one on making beautiful plots in general with ggplot2 and another for going from a basic boxplot to a publication worthy graph.

What are some alternatives?

When comparing ggsignif and TidyTuesday you can also consider the following projects:

tidyexplain - 🤹‍♀ Animations of tidyverse verbs using R, the tidyverse, and gganimate

Practical-Applications-in-R-for-Psychologists - Lesson files for Practical Applications in R for Psychologists.

ggExtra - 📊 Add marginal histograms to ggplot2, and more ggplot2 enhancements

ggthemr - Themes for ggplot2.

gganimate - A Grammar of Animated Graphics

paletter - build your palette from a picture √

UpSetR - An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..

sccp_manager - SCCP Manager

ggbernie - A ggplot2 geom for adding Bernie Sanders to ggplot2

Asterisk-examples - PABX examples used in "Fixed and Mobile Telephone Systems" VET classes.

waffle - :maple_leaf: Make waffle (square pie) charts in R

patchwork - The Composer of ggplots

ggsignif vs tidyexplain TidyTuesday vs Practical-Applications-in-R-for-Psychologists ggsignif vs ggExtra TidyTuesday vs ggthemr ggsignif vs gganimate TidyTuesday vs paletter ggsignif vs UpSetR ggsignif vs sccp_manager ggsignif vs ggbernie ggsignif vs Asterisk-examples ggsignif vs waffle ggsignif vs patchwork