Learn R Programming | Datamentor: Learn to Code in R …
You can perform complex data manipulations, build machine-learning models, and create stunning data visualizations with R. Our R tutorial is designed to make your data science journey smooth. It covers everything you need to know, from the basics of …
R if else Statement (With Examples) - Datamentor
In this article, you will learn to create if and if else statement in R programming with the help of examples. Decision making is an important part of programming. This can be achieved in R programming using the conditional if...else statement.
R Operators (With Examples) - Datamentor
R Operators. In this article, you will learn about different R operators with the help of examples.
R Box Plot (With Examples) - Datamentor
In this article, you will learn to create whisker and box plots in R programming. You will also learn to draw multiple box plots in a single plot.
R Matrix (With Examples) - Datamentor
In this article, you will learn to work with matrices in R Programming and also learn to create and modify matrices, and access matrix elements. Matrix is a two dimensional data structure in R programming.
R Histograms (With Examples) - Datamentor
In this article, you will learn to use hist() function to create histograms in R programming with the help of numerous examples.
R Factors (With Examples) - Datamentor
In this article, you will learn to work with factors in R programming with the help of examples. Factor is a data structure used for fields that takes only a predefined, finite number of values (categorical data).
R Bar Plot (With Examples) - Datamentor
In this article, you will learn to create different types of bar plot in R programming using both vector and matrix.
R Plot Function (With Examples) - Datamentor
In this article, you will learn to use the plot function in R programming with the help of examples.
R Plot Color (With Examples) - Datamentor
In this article, you will learn about colors in R programming. More specifically, different colors names used in R, plots using color HEX and RGB values, and built-in color palettes in R.