• 1 Why R?
    • 1.1 Advantage R
  • 2 Install R
    • 2.1 CRAN
    • 2.2 R IDE
  • 3 R Graphical User Interface
    • 3.1 RGui
  • 4 RStudio
    • 4.1 RStudio IDE
  • 5 R Atomic Class
    • 5.1 Types of Study
    • 5.2 Types of Variables
    • 5.3 Quantitative (Numerical)
    • 5.4 Qualitative (Categorical)
  • 6 R Atomic Class
    • 6.1 R Atomic Class
    • 6.2 Examples
  • 7 Factor: Categorical
    • 7.1 Categorical Factor
    • 7.2 Example
  • 8 Factor: Ordinal
    • 8.1 Ordinal Factor
    • 8.2 Example
  • 9 Factor: Operation
    • 9.1 Operation on Factor
    • 9.2 Example
  • 10 Read Data
    • 10.1 Function
    • 10.2 Example
  • 11 Write Data
    • 11.1 Function
    • 11.2 Example
  • 12 Save & Load R Objects
    • 12.1 Function
    • 12.2 Example
  • 13 Housekeeping Functions
    • 13.1 R Environment
    • 13.2 Save Script
    • 13.3 Save History
    • 13.4 Save an R object
    • 13.5 Save Workspace
  • 14 Vector Operation: Mathematical Function
    • 14.1 Arithmetic Function
    • 14.2 Example 1
      • 14.2.1 Elementwise operation on a vector
    • 14.3 Example 2
      • 14.3.1 Both vectors are of the same length
    • 14.4 Example 3
      • 14.4.1 The longer vector is a multiple of the shorter vector
    • 14.5 Example 4
      • 14.5.1 The longer vector is NOT a multiple of the shorter vector
  • 15 Vector Operation: Statistical Function
    • 15.1 Descriptive statistics
    • 15.2 Example 1
      • 15.2.1 Apply function on a vector
    • 15.3 Example 2
      • 15.3.1 Both vectors are of the same length
    • 15.4 Example 3
      • 15.4.1 The longer vector is a multiple of the shorter vector
    • 15.5 Example 4
      • 15.5.1 The longer vector is NOT a multiple of the shorter vector
  • 16 Vector Operation: Logical
    • 16.1 Examples
    • 16.2 Examples: comparison
    • 16.3 Examples: more comparisons
    • 16.4 Operation on logical vector
    • 16.5 Example 1
      • 16.5.1 Elementwise operation
    • 16.6 Example 2
      • 16.6.1 Both vectors are of the same length
    • 16.7 Example 3
      • 16.7.1 The longer vector is a multiple of the shorter vector
    • 16.8 Example 4
      • 16.8.1 The longer vector is NOT a multiple of the shorter vector
  • 17 Vector Operation: NA
    • 17.1 Missing values: Operation
    • 17.2 Elementwise operation on a vector with NA
    • 17.3 Both vectors are of the same length
    • 17.4 The longer vector is a multiple of the shorter vector
    • 17.5 The longer vector is NOT a multiple of the shorter vector
    • 17.6 Numeric vector with Functions
    • 17.7 Logical vector with Function
  • 18 Matrix Operation: Mathematical
    • 18.1 Matrix operation
    • 18.2 Example 1
    • 18.3 Example 2
  • 19 Daframe Operation
    • 19.1 Operation on data.frame
    • 19.2 Mathematical operation
    • 19.3 Statistical operation
    • 19.4 Logical operation
  • 20 Vector Subsetting
    • 20.1 Subset a vector
    • 20.2 Example
  • 21 Matrix Subsetting
    • 21.1 Subset a matrix
    • 21.2 Example
  • 22 Dataframe Subsetting
    • 22.1 Subset a data.frame
    • 22.2 Example
  • 23 List Subsetting
    • 23.1 Subset a list
    • 23.2 Example
  • 24 Review
  • 25 Create Data
  • 26 Write & Save Data
  • 27 Read Data
  • 28 R Codes: Read & Write Data
    • 28.1 Create data
    • 28.2 Write & Save data
    • 28.3 Read data
  • 29 Data Management: Select Columns
  • 30 Data Management: Filter Rows
  • 31 Data Management: Arrange Rows
  • 32 Data Management: Arrange Columns
  • 33 Data Management: Rename Rows & Columns
  • 34 Data Management: Apply Functions on Columns
  • 35 R Codes: Data Management
    • 35.1 Select Columns
    • 35.2 Filter Rows
    • 35.3 Arrange Rows
    • 35.4 Arrange Columns
    • 35.5 Rename Rows & Columns
    • 35.6 Apply Functions on Columns
  • 36 Data Analysis: Function summary
    • 36.1 summary
  • 37 Data Analysis: Summary Statistics
    • 37.1 Summary Statistics
  • 38 Data Analysis: Summary Statistics by Group
    • 38.1 aggregate
  • 39 R Codes: Data Management using dplyr
    • 39.1 library(dplyr)
    • 39.2 Select Columns
    • 39.3 Filter Rows
    • 39.4 Arrange Rows
    • 39.5 Arrange Columns
    • 39.6 Rename Columns
    • 39.7 Apply Functions on Columns
    • 39.8 Summarise
  • 40 Reshape Data: base::reshape
    • 40.1 Use of reshape
    • 40.2 Example 1: One variable
      • 40.2.1 Data
      • 40.2.2 Data: Long format
      • 40.2.3 Data: Wide format
    • 40.3 Example 2: Two variables
      • 40.3.1 Data
      • 40.3.2 Data: Long format
      • 40.3.3 Data: Wide format
  • 41 Reshape Data: library(reshape2)
    • 41.1 library(reshape2)
    • 41.2 Usage reshape2
    • 41.3 Example 1: One variable
      • 41.3.1 Data
      • 41.3.2 Data: Long format
      • 41.3.3 Data: Wide format
    • 41.4 Example 2: Two variables
      • 41.4.1 Data
      • 41.4.2 Data: Long format
      • 41.4.3 Data: Wide format
    • 41.5 library(tidyr)
  • 42 Combine Data
    • 42.1 Combine columns
    • 42.2 Combine rows
  • 43 More Data Management
    • 43.1 Data
    • 43.2 duplicated
    • 43.3 unique
    • 43.4 is.na
    • 43.5 na.omit
    • 43.6 complete.cases
    • 43.7 Exercise
  • 44 Merge Data: base::merge
    • 44.1 Function merge
    • 44.2 SQL equivalent of merge
    • 44.3 Data
      • 44.3.1 DF1
      • 44.3.2 DF2
    • 44.4 Inner Join
    • 44.5 Left Join
    • 44.6 Right Join
    • 44.7 Full Join
  • 45 Merge Data: using dplyr
    • 45.1 Function join
    • 45.2 Data
      • 45.2.1 DF1
      • 45.2.2 DF2
    • 45.3 Inner Join
    • 45.4 Left Join
    • 45.5 Right Join
    • 45.6 Full Join
  • 46 Merge Data: using sqldf
    • 46.1 Function sqldf
    • 46.2 Data
      • 46.2.1 DF1
      • 46.2.2 DF2
    • 46.3 Inner Join
    • 46.4 Left Join
  • 47 Vectorised Operation
    • 47.1 Use Vectorised code
    • 47.2 Vectorised Operation: Numeric vector
    • 47.3 Vectorised Operation: Logical vector
    • 47.4 Vectorised Operation: Missing values (NA)
    • 47.5 Vectorised operation: Example 1
    • 47.6 Vectorised operation: Example 2
    • 47.7 Vectorised operation: Example 3
    • 47.8 Vectorised operation: Example 4
    • 47.9 Vectorised operation: Example 5
    • 47.10 Vectorised operation: Example 6
    • 47.11 Vectorised operation: Example 7
  • 48 Vectorised Operation
    • 48.1 Use Vectorised code
    • 48.2 Vectorised Operation: Numeric vector
    • 48.3 Vectorised Operation: Logical vector
    • 48.4 Vectorised Operation: Missing values (NA)
    • 48.5 Vectorised operation: Example 1
    • 48.6 Vectorised operation: Example 2
    • 48.7 Vectorised operation: Example 3
    • 48.8 Vectorised operation: Example 4
    • 48.9 Vectorised operation: Example 5
    • 48.10 Vectorised operation: Example 6
    • 48.11 Vectorised operation: Example 7

An Intermediate Course in R: Programming (P1)

An Intermediate Course in R: Programming (P1)

Mintu Nath

University of Aberdeen

Image credit: https://www.r-bloggers.com/word-cloud-in-r/