Rating 4.5 out of 5 (2 ratings in Udemy)
What you'll learn- - What is R? - Why R?
- Installation of R - Overview of a typical GUI or Graphic User Interface of R - Installation of R Studio - Overview of the GUI of R Studio
- Understanding why data types are important - Different data types - Creating data types in R
- Understanding data structures - Vectors – a type of data structure - Creating vectors in R
- Understanding Dataframes - Creating Dataframes in R - Different functions related to …
Rating 4.5 out of 5 (2 ratings in Udemy)
What you'll learn- - What is R? - Why R?
- Installation of R - Overview of a typical GUI or Graphic User Interface of R - Installation of R Studio - Overview of the GUI of R Studio
- Understanding why data types are important - Different data types - Creating data types in R
- Understanding data structures - Vectors – a type of data structure - Creating vectors in R
- Understanding Dataframes - Creating Dataframes in R - Different functions related to Dataframes
- Understanding Lists - Understanding a Matrix - Creating Lists in R - Creating a Matrix in R - Different functions related to List and Matrix
- Understanding factors - Creating a factor in R
- Understanding packages - Installing and loading packages - Importing data into R - Exporting data from R
- Understanding logical operators - Common types of logical operators - Executing logical operators in R - Understanding IF condition - Executing IF condition in R
DescriptionHi all this course is designed for elementary level students in R who want to enjoy in learning R. This course is designed with simple examples for beginners and its created with my young research team who has worked on the material.
R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.
table of content of R programming as following:
1.introduction
2.Overview software
3.Data types
3.1The problem between integer and numeric data type
3.2 Factors
4.Data structure
4.1 vectors
4.2 list and matrix
5.data frame
5.1 get data from data frame
5.2 create matrix out of data frame
6.data handling
7. logical operations and conditions
