What is the process for incorporating the 'apply' function to compute numerous 95th percentiles?

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Assuming you have a data set in R and want to compute numerous 95th percentiles using the 'apply' function, the process would be:

1. Load or generate your data set in R.
2. Identify the variables/columns you want to calculate the 95th percentile for.
3. Use the 'apply' function to calculate the 95th percentile for each variable/column.
4. Wrap the 'apply' function in the 'sapply' function if you want to return a vector of 95th percentiles.
5. Store the results in a variable for further analysis or output.

Here's an example code snippet:

# Generate sample data
x <- matrix(rnorm(100), ncol = 5)

# Calculate 95th percentile for each column
apply(x, 2, function(y) quantile(y, 0.95))

# Return vector of 95th percentiles
sapply(x, function(y) quantile(y, 0.95))

In this example, we use the 'apply' function to calculate the 95th percentile for each of the five columns in the 'x' matrix. The output returns a matrix with one row and five columns, where each column represents a variable and its corresponding 95th percentile.