https://github.com/tertiarycourses/RStatisticsTraining
Exercise files for R Statistics Essential Training
https://github.com/tertiarycourses/RStatisticsTraining
r r-package r-programming r-stats rstudio
Last synced: 4 months ago
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Exercise files for R Statistics Essential Training
- Host: GitHub
- URL: https://github.com/tertiarycourses/RStatisticsTraining
- Owner: tertiarycourses
- Created: 2016-11-17T02:14:59.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2020-12-20T03:31:49.000Z (over 4 years ago)
- Last Synced: 2024-08-13T07:14:22.614Z (8 months ago)
- Topics: r, r-package, r-programming, r-stats, rstudio
- Language: R
- Homepage: https://www.tertiarycourses.com.sg/r-statistics-essential-training-in-singapore.html
- Size: 40 KB
- Stars: 1
- Watchers: 3
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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- jimsghstars - tertiarycourses/RStatisticsTraining - Exercise files for R Statistics Essential Training (R)
README
# R Statistics Essential Training
## by [Tertiary Courses](https://www.tertiarycourses.com.sg/)These are the exercise files used for [R Statistics Essential Training](https://www.tertiarycourses.com.sg/r-statistics-essential-training-in-singapore.html) course.
The course outline can be found in
https://www.tertiarycourses.com.sg/r-statistics-essential-training-in-singapore.html
https://www.tertiarycourses.com.my/r-statistics-essential-training-in-malaysia.htmlModule 1. Getting Started
- What is R
- Install R and RStudio
- Explore RStudio Interface
- Variables
Module 2. Data Types
- Numbers
- Text
- Vector
- Matrix
- Array
- Data Frame
- Factor
- List
Module 3. Packages & Data Sets
- Packages
- Data Sets
Module 4. File Input/Output
- Read data from file
- Read data from web
- Write data to file
Module 5. Charts
- Scatter Plot
- Boxplot
- Bar chart
- Pie chart
- Histogram
Module 6. Control Structures
- Conditional
- Loop
- Break & Next
- Operators
Module 7: Function
- Function Syntax
- Function Example
- Function With Default Arguments
Module 8. Statistical Application of R
- Basic Statistics
- Correlation
- Linear Regression
- Multiple Regression
- 2 Sample T-Test
- 1 Sample T-Test
- ANOVA
- Clustering