Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

Index

A

1. Accuracy

   1. alidating models

   2. measures

   3. sensitivity and specificity

   4. true negative rate

   5. two classes

2. Advanced R programming

   1. apply_if function

   2. between function

   3. factorial function

   4. functional programming

      1. anonymous functions

      2. closures

      3. filter function

      4. functions as arguments

      5. functions returning functions

      6. map function

      7. reduce function

   5. function composition

   6. functions

      1. infix operators

      2. replacement functions

      3. special names

   7. modification

   8. operations

      1. ellipsis parameters

      2. input and output functions

   9. power function

   10. row and column sums

   11. vectors and vectorizing functions

       1. apply family

       2. expression

       3. ifelse

       4. vectorization

3. Anonymous functions

4. Arithmetic expressions

5. Association rules

6. Automating testing

B

1. Bayesian linear regression

   1. hyperparameter

   2. interval plots

   3. linear model

   4. models

   5. model matrix

   6. multivariate normal distribution ...