• 1 Review
  • 2 Example Data
    • 2.1 Data: mtcars
  • 3 Control structure: if
    • 3.1 if
    • 3.2 Single if
    • 3.3 Single if and else
    • 3.4 Nested if and else
    • 3.5 Single line if and else
    • 3.6 Vectorised ifelse function
    • 3.7 Exercise
  • 4 Control structure: for
    • 4.1 for
    • 4.2 Use of single for
    • 4.3 Use of nested for
    • 4.4 Exercise
  • 5 Control structure: Other
    • 5.1 Continue iteration: while
    • 5.2 Skip iteration: next
    • 5.3 Break iteration: break
  • 6 Mapping Functions
    • 6.1 Family of apply Functions
  • 7 Function apply
    • 7.1 Usage
    • 7.2 Arguments
    • 7.3 apply function on matrix
    • 7.4 apply function with additional arguments
    • 7.5 apply anonymous function
    • 7.6 apply function on array
  • 8 Function apply: Special Case
    • 8.1 Special case
    • 8.2 Preserve rows or columns
  • 9 Function tapply
    • 9.1 Usage
    • 9.2 Arguments
    • 9.3 Create data
    • 9.4 tapply using one factor
    • 9.5 tapply using two factors
    • 9.6 aggregate
  • 10 Function lapply & sapply
    • 10.1 Usage
    • 10.2 Arguments
    • 10.3 Steps
    • 10.4 lapply on a vector
    • 10.5 lapply with anonymous function
    • 10.6 lapply on a list
    • 10.7 lapply, sapply, vapply
    • 10.8 Create a summary statistics
  • 11 Function split
    • 11.1 Usage
    • 11.2 Arguments
    • 11.3 Create data
    • 11.4 split with one factor
    • 11.5 split with two factors
  • 12 The Final Problem
    • 12.1 Data mtcars
    • 12.2 Function: Summary Statistics
    • 12.3 Function: t_test

An Intermediate Course in R: Programming (P3)

An Intermediate Course in R: Programming (P3)

Mintu Nath

University of Aberdeen