In this R Programming Tutorial, we explain everything about linear and nonlinear modeling, data analysis, and time-series analysis to a great extent. Its easy coding, wide number of packages, and Free software are making data scientists crazy about R programming language.
R is a programming language that provides a software environment for graphics, statistical computing, data sciences, and machine learning. R Programming provides a wide variety of graphical techniques, and we will explain most of them in this tutorial.
Introduction to R Programming Tutorial
R Operators
R Decision Making & Loops
Loops help execute a fixed number of lines for a number of times. The control structures allow us to control the execution flow of a series of statements or expressions. Based on the condition or input, control structures will respond by executing the expressions.
The following R programming tutorial explains the loops and the decision-making statements with a practical example.
- If Statement
- If Else Statement
- Nested If Else Statement
- Else If Statement
- Switch Statement
- Break Statement
- Next Statement
- While Loop
- For Loop
- Repeat Loop
R Programming Objects
R tutorials about objects because this Programming always works with objects. The following list is the available objects in R programming to work with data.
Learn R Data Sources
- Create ODBC Connection
- Create SQL Server Native Client 11.0 Connection
- Read Data from SQL Server
- Read Data from CSV File
- Import Data From Text File using read.table
R Charts & Graphs
This section of the R programming tutorial explains the graphs and charts available to visualize data.
- R Bar Chart
- R Stacked & Clustered Bar Chart
- Pie Chart in R
- R Scatter Plot
- R Histogram
- Boxplot in R
- R Stem and Leaf Plot
- R Mosaic Plot
Learn R ggplot2
- ggplot2 Boxplot
- ggplot2 Density Plot
- ggplot2 Dot Plot
- ggplot2 Histogram
- ggplot2 Jitter
- ggplot2 Line Plot
- ggplot2 Scatter Plot
- ggplot2 Violin Plot
- Save ggplot
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