timevis
easystats
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| timevis | easystats | |
|---|---|---|
| 2 | 3 | |
| 643 | 1,019 | |
| - | 2.8% | |
| 5.0 | 7.8 | |
| 8 months ago | 7 days ago | |
| R | R | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
timevis
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R Shiny Help
best way for any of this, is figure out smaller parts and combining them. https://shiny.rstudio.com/reference/shiny/0.14/fileInput.html - for the fileinput https://daattali.com/shiny/timevis-demo/ - for timevis.
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Examples of R packages which include a Shiny app?
timevis
easystats
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My recommended R packages / functions for behavioral researchers who deal with 2X2 experiments
I'd also recommend the whole easystats suite of packages. They make model post-processing much easier. It includes a more intuitive (but more limited, imo) replacement for emmeans: modelbased.
- Most useful new packages (or package updates) from the last 3 years
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ISO a holy grail RStudio tutorial account, specifically for data analysis in psychology.
The Easystats suite, which includes several packages. It's extremely useful for Bayesian analyses, but even if you stay on the frequentist side, I recommend its performance, parameters, effectsize and correlation packages. Performance is particularly useful in conjunction to DHARMa for model diagnostic and comparison.
What are some alternatives?
covid19-event-risk-planner - COVID19 risk planner R-Shiny application
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
shinyalert - 🗯️ Easily create pretty popup messages (modals) in Shiny
shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds
bracken_plot - A Shiny app for taxonomic abundance visualization
awesome-R - A curated list of awesome R packages, frameworks and software.
targets-tutorial - Short course on the targets R package
targets - Function-oriented Make-like declarative workflows for R
esquisse - RStudio add-in to make plots interactively with ggplot2
afex - Analysis of Factorial EXperiments (R package)
shinyscreenshot - 📷 Capture screenshots of entire pages or parts of pages in Shiny apps
waffle - :maple_leaf: Make waffle (square pie) charts in R