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| The percentiles for each score are routinely outputted using the frequency procedure in SPSS. | The percentages of people with scores equal or below each observed score can be obtained by running the below in SPSS. |
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| In R the percentages of people with scores equal or below each observed score can be obtained by running | or the below in R: |
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| score <- sort(score) | |
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| a <- rep(-99,length(score)) | |
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| if (b[ict] == FALSE) { a[ict] <- score[ict] |
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| } perc a |
(percu <- perc[!duplicated(perc)]) (scoreu <- score[!duplicated(score)]) percu scoreu |
How do I find out how many people have a score above a certain value?
Percentiles give the percentage of people who have a score below a threshold score.
Percentile (score) = 100 $$\frac{\mbox{n} \leq \mbox{score}}{\mbox{N}}$$
100 - Percentile (score) = 100 $$\frac{\mbox{n} \gt \mbox{score}}{\mbox{N}}$$
The percentages of people with scores equal or below each observed score can be obtained by running the below in SPSS.
FREQUENCIES VAR=SCORE. EXE.
or the below in R:
score <- sort(score)
perc <- rep(-99,length(score))
ict <- 1
b <- duplicated(score)
for (ict in 1:length(score) {
for (i in score) {
perc[ict] <- 100*sum(score<=i)/length(score)
ict <- ict+1
}
}
(percu <- perc[!duplicated(perc)])
(scoreu <- score[!duplicated(score)])
percu
scoreu