percRank {CMO} | R Documentation |
A percentile rank is typically defined as the proportion of scores in a distribution that a specific score is greater than or equal to. For example, a test score which is greater than 90% of the scores of people taking the test is said to be at the 90th percentile (percentile rank 90).
percRank(x)
x |
The input vector |
Percentile ranks are commonly used to clarify the interpretation of scores on standardized tests. For the test theory, the percentile rank of a raw score is interpreted as the percentages of examinees in the norm group who scored below the score of interest (Crocker & Algina, 1986). Unlike a normal distribution of scores, which are bell shaped, the distribution of percentile ranks is uniform and is rectangular in shape.
Returns a vector with percent ranks for each entry in the input vector
Christian Montel
Crocker, L., & Algina, J. (1986). Introduction to classical and modern test theory. New York: Harcourt Brace Jovanovich College Publishers.
http://en.wikipedia.org/wiki/Percentile_rank
#generate some data d <- c(3,2,5,9,1,10,4,6,8,7) percRank(d)