sjPlot VS ggshakeR

Compare sjPlot vs ggshakeR and see what are their differences.

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sjPlot ggshakeR
2 1
596 108
- -
5.4 2.2
about 1 month ago 8 months ago
R R
- MIT License
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.

sjPlot

Posts with mentions or reviews of sjPlot. We have used some of these posts to build our list of alternatives and similar projects.

ggshakeR

Posts with mentions or reviews of ggshakeR. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing sjPlot and ggshakeR you can also consider the following projects:

lmtp - :package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:

understatr - fetch understat data

renjin - JVM-based interpreter for the R language for the statistical analysis.

esquisse - RStudio add-in to make plots interactively with ggplot2

wesanderson - A Wes Anderson color palette for R

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

biomisc_R - command line bioinformatic scripts written in R

Algo-Trading - This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!

lego-data - Distribution of colors of various LEGO themes

Graphia - A visualisation tool for the creation and analysis of graphs

expotools - Useful methods for Exposome research.

ggthemr - Themes for ggplot2.