"R language Combat" reading notes (i)

The following all for personal understanding, if not comprehensive, you hit me Ah!

First, the book is divided into three parts:

First: The operation of the data. (第二、四、五、十 five chapters)

It is divided into data structures (merging and reshaping), variables or observations (creation, modification, deletion, renaming, selection), handling of special values (missing value processing), and general functions.

Second: Drawing of the graph. (Chapter 第三、六、十)

is divided into one-dimensional variables, two-dimensional variables, three-dimensional and many of the visualization of variables. Each is divided into qualitative variables and quantitative variables of two types.

Third: Data analysis. (chapter seventh to tenth and chapters 12 to 14)

Basic analysis (i.e. frequency/position/distribution, etc.),

Relevance analysis (Independence and relevance),

Variance analysis (sample and population, two-population and multi-population differences, and confidence interval estimates),

Efficacy analysis (analysis based on efficacy, samples, etc.)

Principal component and Factor analysis

Modeling (simple linear model and generalized linear model).

The first and second parts are the basis, the third part is the advanced. Everyone in order, better.

"R language Combat" reading notes (i)