covariance(tablelens,column, column2[, group[,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])
Calculates the covariance of two columns.
Parameters
tableLens the tableLens object of the table
column column label of the column to summarize
column2 second column used in calculating covariance
condition condition on the group to summarize
Return
covariance of the two columns
Example
text =
covariance(Table1.tableLens,'Quantity','Total',
"Discount>0");
See Also
covariance(column, column2[, group[,condition]]), for the Section version.
| << countDistinct(tablelens,column[,condition]) | © 1996-2013 InetSoft Technology Corporation (v11.4) | max(tablelens,column[,condition]) >> |