populationStandardDeviation(tablelens,column [,condition])
average(tablelens,column[,condition])
concat(tablelens,column[,condition])
correlation(tablelens,column1,column2 [,condition])
count(tablelens,column[,condition])
countDistinct(tablelens,column[,condition])
covariance(tablelens,column, column2[, group[,condition]])
max(tablelens,column[,condition])
median(tablelens,column[,condition])
min(tablelens,column[,condition])
mode(tablelens,column[,condition])
nthLargest(tablelens,n,column[,condition])
nthMostFrequent(tablelens,n,column [,condition])
nthSmallest(tablelens,n,column[,condition])
populationStandardDeviation(tablelens,column [,condition])
populationVariance(tablelens,column [,condition])
pthPercentile(tablelens,p,column[, group,condition])
product(Tablelens,column[, condition])
standardDeviation(tablelens,column [,condition])
sum(tablelens,column[,condition])
Calculate the population standard deviation of values in the specified column.
Parameters
tableLens the tableLens object of the table
column column label of the column to summarize
condition condition on the column to summarize
Return
population standard deviation of all values in a column.
Example
text = populationStandardDeviation(Table1.tableLens,
'Quantity',"Discount>0");
See Also
populationStandardDeviation(cellRange), for the Table version.
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