Using JMP - SAS

Appendix B Formula Functions Reference 427
Statistical Functions
Statistical Functions
There are two types of Statistical functions you can use in a formula:
• The functions with names that have the prefix Col. These functions compute statistics for a column of
numbers or expressions involving columns.
• The Mean, Std Dev, Number, Sum, Quantile, Maximum, Minimum, and N Missing functions. These
functions evaluate across columns or arguments. The statistic is computed for each row across the series
of arguments. You can use the insert key ( ) on the on-screen keypad, or type a comma to add
arguments to the functions that accept multiple arguments. When there are multiple contiguous
arguments, select the function and the first argument, and then Shift-click the last argument in the
group. These functions then automatically show with the complete list.
See the Scripting Guide for details about syntax.
Col Mean
Calculates the mean (or arithmetic average) of the numeric values identified by its argument. The formula
Col Mean(age) calculates the average of all nonmissing values in the age column.
Col Std Dev
Measures the spread around the mean of the distribution identified by its argument. In the normal
distribution, about 68% of the distribution is within one standard deviation of the mean. 95% of the
distribution is within two standard deviations of the mean. 99% of the distribution is within three standard
deviations of the mean.
Col Number
Counts the number of nonmissing values in the column that you specify. A missing numeric value occurs
when a cell has no assigned value or is the result of an invalid operation (such as division by zero). Missing
values show on the spreadsheet as a missing value mark (•). Missing character values are null character
strings. In formulas for row state columns, an excluded row state characteristic is treated as a missing value.
Col N Missing
Counts the number of missing values in the column that you specify. A missing numeric value occurs when
a cell has no assigned value or is the result of an invalid operation (such as division by zero). Missing values
show in the data grid with a missing value character (•). Missing character values are null character strings.
Col Sum
Computes the sum of the values in its numeric argument. Missing values are ignored.
Col Minimum and Col Maximum
Takes the minimum of its numeric arguments. Col Minimum ignores missing values. Col Maximum takes
the maximum of a numeric column argument and ignores missing values.