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Appendix C Formula Functions Reference 483
Statistical Functions
• ColQuantile(age, 0.25) Calculates the lower quartile age.
• ColQuantile(age, 0) Calculates the minimum age.
The ColQuantile argument can be any expression that evaluates to a value between (and including) 0
and 1. For example, the first formula in Figure C.15 calculates quantile values of age in ascending order
for each row. The column then contains the interpolated values of age in ascending order in the
calculated column. The second formula lists the interpolated values of age in descending order.
Figure C.15 Examples of the Quantile Function
Col Standardize
Performs the usual standardization on its numeric expression. For each row i, Col Standardize(height)
is (HeightRow()–Col Mean(Height))/Col Std Dev(Height).
Mean
Calculates the arithmetic average of the nonmissing arguments you specify. The arguments can be
constants, numbers, or expressions. The Mean function initially shows with a single argument. You add
arguments with the insert button ( ) on the formula editor keypad or by typing a comma.
C Formula Functions Reference
Std Dev
Computes standard deviation of the list of arguments you specify. The arguments can be constants,
numbers, or expressions. The Std Dev function initially shows with a single argument. You add
arguments by clicking the insert button ( ) on the formula editor keypad or by typing a comma.
Number
Counts the number of nonmissing values in the list of arguments you specify.
Sum
Returns the sum of the arguments.
Quantile
Calculates the quantile given by its first argument for all the following arguments given.
Summation (Σ)
Evaluates for an explicit range of values in a column, as given by the summation indices, as opposed to
all other statistical functions (except Product), which always evaluate on every row. The Summation
function uses the summation notation shown in Figure C.16. To calculate a sum, replace the missing
body term with an expression containing the index variable i, or an index variable you assign.
Summation repeatedly evaluates the expression for i = 1, i = 2, through i = NRow() and then adds the
nonmissing results together to determine the final result.
You can replace NRow(), the number of rows in the active spreadsheet, and the index constant, i, with
any expression appropriate for your formula. For example, the summation formula in Figure C.16