Page Index - Statistics-and-Machine-Learning-with-R/Statistical-Methods-and-Machine-Learning-in-R GitHub Wiki
52 page(s) in this GitHub Wiki:
- Home
- Statistics and Machine learning with R:
- The wiki contains the theoretical concepts of various Statistical Methods, especially for bio-information analysis.
- Roadmap
- Here is a roadmap you can use if you are not sure how all of these comes together
- You can also visit : http://www.mpa.ovgu.de/index.php/statistical-analysis/
- ANOSIM
- Please reload this page
- ANOVA
- Please reload this page
- Artificial Neural Network
- Please reload this page
- Clustering
- Please reload this page
- Data Types in R and their Modes
- Please reload this page
- Decision Tree
- Please reload this page
- Frequently Asked Questions on R
- Please reload this page
- ggplot2
- Please reload this page
- Implementation in R
- Please reload this page
- Install R and R Studio
- Please reload this page
- Kruskal Wallis Test (H Test)
- Please reload this page
- Normalization
- Please reload this page
- Ordination
- Please reload this page
- Permutational Multivariate Analysis of Variance
- Please reload this page
- R Packages
- Please reload this page
- Reading and Writing Data in R
- Please reload this page
- Supervised VS Unsupervised Learning
- Please reload this page
- T Test
- Please reload this page
- Test for Normality : QQ Plot & PP Plot
- Please reload this page
- U Test
- Please reload this page
- Useful Links
- Please reload this page
- What is R and Why R
- Please reload this page
- What is Shiny
- Please reload this page