Which of the following is used to measure data distribution in R?

In R, the measure of data distribution can be achieved using several functions. Here are a few:

1. summary(): This function provides a statistical summary of the data including the minimum, 1st quartile, median, mean, 3rd quartile, and maximum.

2. mean(): This function calculates the average of the data.

3. median(): This function finds the middle value of the data.

4. var(): This function calculates the variance of the data.

5. sd(): This function calculates the standard deviation of the data.

6. range(): This function gives the range of the data.

7. quantile(): This function gives the quantiles of the data.

8. hist(): This function creates a histogram to visualize the data distribution.

9. boxplot(): This function creates a boxplot to visualize the data distribution.

10. density(): This function estimates the density of the data.

These functions help in understanding the distribution of the data in R.