standardDeviation(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 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
standard deviation of all values in a column
Example
text = standardDeviation(Table1.tableLens,"Quantity",
"Discount>0");
See Also
standardDeviation(cellRange), for the Table version.
| << product(Tablelens,column[, condition]) | © 1996-2013 InetSoft Technology Corporation (v11.5) | sum(tablelens,column[,condition]) >> |