From a856acb038c8288683b59c6c81239141fc077e19 Mon Sep 17 00:00:00 2001 From: Alanah Jonas Date: Mon, 21 Oct 2024 18:56:22 +0100 Subject: [PATCH] Update summary-stats.qmd update the title as per issue and add in the 4 quantiles --- SAS/summary-stats.qmd | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/SAS/summary-stats.qmd b/SAS/summary-stats.qmd index e2304e80b..dc362948d 100644 --- a/SAS/summary-stats.qmd +++ b/SAS/summary-stats.qmd @@ -1,10 +1,11 @@ --- -title: "Deriving Quantiles or Percentiles in SAS" +title: "Calculating Quantiles (percentiles) in SAS" --- Percentiles can be calculated in SAS using the UNIVARIATE procedure. The procedure has the option `PCTLDEF` which allows for five different percentile definitions to be used. The default is `PCTLDEF=5`, which uses the empirical distribution function to find percentiles. This is how the 25th and 40th percentiles of `aval` in the dataset `adlb` could be calculated, using the default option for `PCTLDEF`. +For quantiles, Q1= 25%, Q2=50%, Q3 = 75%, Q4=100%. ```{r, eval=FALSE} proc univariate data=adlb;