R: Recipes for Analysis, Visualization and Machine Learning

Applying basic statistics

R provides a wide range of statistical functions, allowing users to obtain the summary statistics of data, generate frequency and contingency tables, produce correlations, and conduct statistical inferences. This recipe covers basic statistics that can be applied to a dataset.

Getting ready

Ensure you have completed the previous recipes by installing R on your operating system.

How to do it...

Perform the following steps to apply statistics on a dataset:

1. Load the iris data into an R session:

   > data(iris)
   

2. Observe the format of the data:

   > class(iris)
     [1] "data.frame"
   

3. The iris dataset is a data frame containing four numeric attributes: petal length, petal width, sepal width, and sepal length. For numeric values, you can perform ...