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R Percentiles

Percentiles in R indicate the value below which a given percentage of observations fall. The quantile() function is used to calculate percentiles.

Key Topics

Percentile Example

# Calculating percentiles
values <- c(10, 20, 30, 40, 50)
percentiles <- quantile(values)

print(percentiles)

Output:

0% 25% 50% 75% 100%
10 20 30 40 50

Code Explanation: The quantile() function returns the 0th, 25th, 50th, 75th, and 100th percentiles, which correspond to the minimum, first quartile, median, third quartile, and maximum values, respectively.

Custom Percentiles

You can calculate custom percentiles by specifying the desired probabilities.

# Calculating custom percentiles
values <- c(10, 20, 30, 40, 50)
custom_percentiles <- quantile(values, probs = c(0.1, 0.5, 0.9))

print(custom_percentiles)

Output:

10% 50% 90%
14 30 46

Code Explanation: The probs argument in the quantile() function specifies the percentiles to calculate, in this case, the 10th, 50th, and 90th percentiles.

Key Takeaways

  • The quantile() function is used to calculate percentiles in R.
  • By default, it returns the 0th, 25th, 50th, 75th, and 100th percentiles.
  • Custom percentiles can be specified using the probs argument.
  • Percentiles are useful for understanding the distribution of data.
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