Descriptive Statistics in R: A Guide

In R programming language, there are several methods available for conducting descriptive statistical analysis.

1. The summary() function can be used to perform descriptive statistical analysis on numerical variables in a dataset, providing statistics such as minimum, maximum, median, mean, and quartiles.
2. By using functions such as mean(), median(), and sd(), you can calculate statistical measures like the average, median, and standard deviation of a dataset.
3. The table() function can be used to calculate the frequency of each factor variable in a dataset.
4. The hist() function is used to create a histogram of numerical variables in a dataset, allowing for a visual understanding of the data distribution.
5. Using the boxplot() function: The boxplot() function can be used to draw a box plot of numerical variables in a dataset to observe the distribution and outliers of the data.

These functions and methods can assist you in conducting preliminary descriptive statistical analysis on data, gaining insights into the data distribution and basic statistical characteristics.