Descriptive Statistics in R

Descriptive statistics are essential for summarizing and understanding data in R. Here are common functions and their uses:

1. Mean

Function: mean()
Description: Calculates the average of a numeric vector.

Example:

data <- c(10, 20, 30, 40, 50)
mean(data)

R_language

2. Median

Function: median()
Description: Finds the middle value of a sorted vector.
Example:
```
median(data)
```

central_tendency

3. Standard Deviation

Function: sd()
Description: Measures the spread of data around the mean.
Example:
```
sd(data)
```

data_variance

4. Summary Statistics

Function: summary()
Description: Provides a quick overview of data distribution.
Example:
```
summary(data)
```

data_distribution

For more advanced statistical analysis, visit our Statistical Analysis Guide. 📊