WebMar 31, 2024 · By default, PROC MEANS does not display the median value as one of the summary statistics but you can use the following syntax to include the median in the output: proc means data=my_data N Mean Median Std Min Max; var points; run; This particular example calculates the total number of observations, mean, median, standard deviation, … WebIQR is interquartile range. It measures dispersion or variation. IQR = Q3 -Q1. Lower limit of acceptable range = Q1 - 3* (Q3-Q1) Upper limit of acceptable range = Q3 + 3* (Q3-Q1) SAS Macro : Detect and Remove Outliers
How to calcuate median in proc report - SAS
WebJun 26, 2024 · The distance between the first quartile (Q1) and third quartile (Q3) is called the Inter Quartile Range (IQR). All observations that lie 1.5 * IQR below the first quartile, or 1.5 * IQR above the third quartile, are considered outliers. There are many methods to find quartiles in SAS and calculate the IQR. http://facweb.cs.depaul.edu/sjost/csc423/projects/proj1.htm simplicity carpet cleaner
SAS: How to Display Median in PROC MEANS - Statology
WebAug 28, 2024 · The following statements use PROC MEANS to compute the quartiles, then use a DATA step to compute the IQR and the locations of the fences. A call to PROC TRANSPOSE converts the data set from wide to long form so that it can be merged with the data set from the previous section. WebJul 14, 2024 · A macro variable is created to contain the values of the median and interquartile range. A DATA step is created to adjust any values that exceed the 1.5 IQR rule on the high end and the low end. PROC SQL adds the adjusted variables to the BASE data set. This program might seem like overkill to you. WebIQR ( value-1 <, value-2... >) Arguments value specifies a numeric constant, variable, or expression for which the interquartile range is to be computed. Details If all arguments have missing values, the result is a missing value. Otherwise, the result is the interquartile range of the non-missing values. simplicity car seat vintage blue