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
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
14 Vector Operation: Mathematical Function
15 Vector Operation: Statistical Function
16 Vector Operation: Logical
17 Vector Operation: NA
18 Matrix Operation: Mathematical
19 Daframe 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
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
36 Data Analysis: Function summary
37 Data Analysis: Summary Statistics
- 37.1 Summary Statistics
38 Data Analysis: Summary Statistics by Group
39 R Codes: Data Management using dplyr
40 Reshape Data: base::reshape
41 Reshape Data: library(reshape2)
42 Combine Data
- 42.1 Combine columns
- 42.2 Combine rows
43 More Data Management
44 Merge Data: base::merge
45 Merge Data: using dplyr
46 Merge Data: using sqldf
47 Vectorised Operation
48 Vectorised Operation

An Intermediate Course in R: Programming (Part 1)

Section 32 Data Management: Arrange Columns

Arrange the Columns as ID, Sex, Age, Wt and Vac
Use both numeric and name index to arrange the columns