R StatisticsLesson 33Free preview

R Percentiles

This lesson is part of R · All levels

Summary

This study reviews the percentiles and quartiles in the analysis of the distribution of statistical data in R. The percentage divides the data into a hundred equal parts, while the quartile divides it into four parts (Q1 at 25%, Q2/median at 50%, and Q3 at 75%). The function quantile() in R gives full control in calculating this percentage point.

Key points

The percentage indicates the relative position of a value over the overall distribution of data
The 'quantile(x)' function by default produces a quartic summary (0%, 25%, 50%, 75%, 100%)
The 'probs' argument is used to determine a specific percentage point (e.g.: probs = c(0.1, 0.9))
Interquartile Range (IQR) is calculated using the 'IQR(x)' function to identify outliers

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