This is a collection of data analysis & data modeling practices using R.
- General linear models practice
- Involved skills: data visualization,multiple regression, variable transformation, collinearity, ANOVA, tests of significance, model building strategies and interpretation
- Multivariate analysis practices
- Applying multivariate analyis on several datasets
- Invovled skills: data visualization, multiple regression, principal component analysis, discriminant analysis,factor analysis, cluster analysis, etc.
- dplyr package learning notes
- dplyr is a R package for Data Manipulation
- functions included: tbl_df(),filter(), select(), arrange(), mutate(), group_by() and summarise(), sample_n() and sample_frac(), and Chaining/Pipelining programming.
- check the notes (in html): https://cdn.rawgit.com/yimihua2013/R-Programming-Practices/master/dplyr_notes/dplyr_notes.html