ggshakeR
esquisse
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ggshakeR | esquisse | |
---|---|---|
1 | 4 | |
108 | 1,739 | |
- | 1.2% | |
2.2 | 7.2 | |
8 months ago | 5 days ago | |
R | R | |
MIT License | GNU General Public License v3.0 or later |
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ggshakeR
esquisse
- esquisse: RStudio add-in to make plots interactively with ggplot2 {R}
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New to ggplot2 - How do I change the color of some frequency plots so that the colors are distinct and do not get overpowered by the background? I changed the theme to dark because the yellow plot was nearly invisible on white/ gray. [code block in comments]
You should post your code so people can specifically see what you are doing, but in general you can do a color option in geom_line. If you don't use ggplot frequently then I'd recommend checking out the esquisse plugin at: https://github.com/dreamRs/esquisse This allows you to use a gui to set your ggplot options.
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Examples of R packages which include a Shiny app?
esquisse is an RStudio Addin that is a package and also a shiny app.
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[R] Front-end for ggplot within RStudio?
The link if you're curious: https://github.com/dreamRs/esquisse
What are some alternatives?
understatr - fetch understat data
ggvenn - Venn Diagram by ggplot2, with really easy-to-use API.
sjPlot - sjPlot - Data Visualization for Statistics in Social Science
gganimate - A Grammar of Animated Graphics
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
shinyalert - 🗯️ Easily create pretty popup messages (modals) in Shiny
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!
ggsci - 🦄 Scientific journal and sci-fi themed color palettes for ggplot2
Graphia - A visualisation tool for the creation and analysis of graphs
lidR - Airborne LiDAR data manipulation and visualisation for forestry application
ggthemr - Themes for ggplot2.
ggExtra - 📊 Add marginal histograms to ggplot2, and more ggplot2 enhancements