rpodcast / diy_anova Goto Github PK
View Code? Open in Web Editor NEWThis project forked from cpsievert/diy_anova
Shiny app to run ANOVA and get a report of the results.
This project forked from cpsievert/diy_anova
Shiny app to run ANOVA and get a report of the results.
DIY ANOVA is a Shiny app that guides the user through the process of checking assumptions for ANOVA and performing the actual analysis, plus checking pairwise differences by means of a section dedicated to post hoc tests. It was developed by Danilo Pecorino ([email protected]), who would love to receive feedbacks and comments on how to improve and make it more and more user friendly. --- You can run this app locally by running R. Then type the following library(shiny) runApp("path to the DIY_ANOVA directory") --- Requirements DIY_ANOVA requires the following R libraries shiny, shinyWidgets, shinydashboard, DT, GAD, multcompView, lsmeans They can be installed by typing the following at the R console install.packages(c("shiny", "shinyWidgets", "shinydashboard", "DT", "GAD", "multcompView", "lsmeans"))
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.