percentile_rank: Percentile rank
In jmbarbone/jordanExtra: Extra Functions for the mark Package
percentile_rank R Documentation
Percentile rank
Description
The bounds of a percentile rank are > 0 and < 100.
A percentile rank here is the proportion of scores that are less than the
current score.
PR = (c_L + 0.5 f_i) / N * 100
Where
c_L is the frequency of scores less than the score of interest
f_i is the frequency of the score of interest
Usage
percentile_rank(x)
Arguments
x
A vector of values to rank
Details
Computes a percentile rank for each score in a set.
Value
A percentile rank between 0 and 100
Examples
percentile_rank(0:9)
x <- c(1, 1, 2, 5, 7, NA_integer_, 7, 10)
percentile_rank(x)
# compare to dplyr
# dplyr::percent_rank(x) * 100
jmbarbone/jordanExtra documentation built on March 18, 2023, 9:56 p.m.
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| percentile_rank | R Documentation |
Percentile rank
Description
The bounds of a percentile rank are > 0 and < 100.
A percentile rank here is the proportion of scores that are less than the current score.
PR = (c_L + 0.5 f_i) / N * 100
Where
c_L is the frequency of scores less than the score of interest
f_i is the frequency of the score of interest
Usage
percentile_rank(x)
Arguments
x |
A vector of values to rank |
Details
Computes a percentile rank for each score in a set.
Value
A percentile rank between 0 and 100
Examples
percentile_rank(0:9) x <- c(1, 1, 2, 5, 7, NA_integer_, 7, 10) percentile_rank(x) # compare to dplyr # dplyr::percent_rank(x) * 100
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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