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Method name |
Brief description |
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Abs |
The Abs method returns absolute value (modulus) of selected variable points. |
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AbsI |
The AbsI method returns absolute value (modulus) of selected variable points, if this variable contains only integer values. |
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Arima |
The Arima method models variable values with the help of ARIMA method. |
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ArimaR |
The ArimaR method models variable values using the ARIMA method and the R package. |
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AutoTrend |
The AutoTrend method selects optimal trend for the variable in the specified period. |
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Average |
The Average method returns average value of selected variable points. |
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AverageI |
The AverageI method returns the mean value of selected variable points, if this variable contains only integer values. |
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Bpf |
The Bpf method models variable values using the Baxter-King filter. |
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BpfR |
The BpfR method models variable values using the Baxter-King method using the R package. |
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Census1 |
The Census1 method calculates seasonal component according to the specified parameters. |
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Coalesce |
The Coalesce method returns a series, each point of which is calculated as the first met value from specified series that is not equal to Null. |
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Collapse |
The Collapse method aggregates variable values. |
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Combine |
The Combine method returns the series containing source series data for the sample period and forecasting series data for the forecasting period. |
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Cos |
The Cos method returns cosine of selected variable points. |
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Cumulative |
The Cumulative method transforms variable using selected cumulative method. |
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CumulativeYTD |
The CumulativeYTD method transforms variable by applying the specified cumulative method to the start of the year. |
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DateSeries |
The DateSeries method returns the current date value for each series point depending on the specified calculation periods. |
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Default_ |
The Default_ method returns Null. |
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Diff |
The Diff method calculates the increase of variable points to the previous period. |
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DiffX |
The DiffX method calculates the increase of variable points to the specified period. |
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DiffY |
The DiffY method calculates the increase of variable points to the corresponding period of the previous year. |
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Div_ |
The Div_ method returns the integer part of integer division of values of the variable points by the specified value. |
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Division |
The Division method returns quotient of pointwise division of two variables. |
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DLog |
The DLog method calculates the increase of variable points logarithm to the previous period. |
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DLogX |
The DLogX method calculates the increase of variable points logarithm to the specified period. |
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DynamicLowerConfidenceLevel |
The DynamicLowerConfidenceLevel method returns lower dynamic confidence limit of forecast series. |
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DynamicUpperConfidenceLevel |
The DynamicUpperConfidenceLevel method returns upper dynamic confidence limit of forecast series. |
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Ecm |
The Ecm method transforms variable using error correction model. |
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Estimate |
The Estimate method returns the estimated constant value. |
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Exp |
The Exp method returns the result of raising the e number to the power specified by the variable point. |
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ExpSmooth |
The Expsmooth method transforms variable with the help of exponential smoothing. |
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ExpSmoothR |
The ExpSmoothR method transforms variable data with the exponential smoothing method using the R package. |
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ExpX |
The ExpX method returns the result of raising points variable points to the specified power. |
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Extrapolate |
The Extrapolate method transforms a variable using a trend with functional dependency estimation. |
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Fact |
The Fact method returns a factorial of selected variable points. |
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Fill |
The Fill parameter fills empty values of the series using various missing data treatment methods. |
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Fitted |
The Fitted method returns modeling series. |
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Floor |
The Floor method returns the result of rounding down variable points to multiple of specified accuracy. |
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FloorI |
The FloorI method returns the result of rounding down variable pints to the multiple with specified accuracy if the variable contains only integer values. |
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Forecast |
The Forecast method returns forecasting values for the specified series. |
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GetValueByDate |
The GetValueByDate method returns series value for the specific date. |
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GreyForecast |
The GreyForecast method models a variable using the Grey forecast. |
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Hpf |
The Hpf method smoothes the variable with the use of the Hodrick-Prescott filter with the lambda smoothing parameter. |
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HpfP |
The HpfP method smoothes the variable with the use of the Hodrick-Prescott filter with the Power smoothing parameter. |
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HpfR |
The HpfR method smoothes the variable with the use of the Hodrick-Prescott filter and the R package. |
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Iif |
The Iif method provides conditional execution of operators. |
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Int |
The Int method rounds values of selected variable down to the nearest integer. |
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Interpolate |
The Interpolate method interpolates variable values. |
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InterpolateP |
The InterpolateP method interpolates variable values according to a pattern. |
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IsSeriesEmpty |
The IsSeriesEmpty method determines whether a series is empty. |
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Lag |
The Lag method shifts the variable forward to the specified number of points in the time period. |
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Lead |
The Lead method shifts variable backwards by the specified number of points in a time period. |
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Level |
The Level method applies the Level function to the specified variable. |
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LevelIndexSeries |
The LevelIndexSeries method returns current element index for set calendar frequency. |
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Ln |
The Ln method returns a natural logarithm of selected variable points. |
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Log |
The Log method returns the logarithm of specified variable points by assigned base. |
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Log10 |
The Log10 method returns base-10 logarithm of selected variable points. |
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LowerConfidenceLevel |
The LowerConfidenceLevel method returns lower confidence limit of forecast series. |
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Lrxf |
The Lrxf method models variable with the help of LRX-filter. |
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Max |
The Max method returns maximum value of variable points. |
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MaxI |
The MaxI method returns the maximum value of variable points, if this variable contains only integer values. |
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Mean |
The Mean method returns mean for selected variable. |
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Median |
The Median method returns median for selected variable. |
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MedianSmooth |
The MedianSmooth method executes median smoothing of the variable. |
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MedianSmoothR |
The MedianSmoothR method applies median smoothing to a variable using the R package. |
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Min |
The Min method returns minimum value of variable points. |
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MinI |
The MinI method returns the minimum value among the points of the variable if it contains only integer values. |
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Mod_ |
The Mod_ method returns remainder of integer division of variable point values by a specified number. |
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Mode |
The Mode method returns mode of selected variable. |
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Modulus |
The Modulus method returns remainder of integer division of variable point values by a specified number. |
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MovAvg |
The MovAvg method transforms the variable by the moving average method. |
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MovAvgR |
The MovAvgR method transforms the variable by moving average method using the R package. |
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Mult |
The Mult method returns product of corresponding points for two or more variables. |
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None |
The None method returns whether a constant is not used. |
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Nvl |
The Nvl method substitutes missing data of variable with the specified value. |
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Ols |
The Ols method models the variable using linear regression (OLS estimation). |
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OlsR |
The OlsR method models the variable using linear regression (OLS estimation) and the R package. |
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Pch |
The Pch method calculates the rate of change of variable points to the previous period. |
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PchA |
The PchA method calculates the rate of change of variable points to the previous period with seasonal adjustment. |
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PchX |
The PchX method calculates the rate of change of variable points to the specified period. |
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PchY |
The PchY method calculates the rate of change of variable points to the corresponding period of the previous year. |
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Pi |
The Pi method returns the Pi number. |
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Power |
The Power method returns the result of raising variable points to the specified power. |
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PowerI |
The PowerI method returns the result of raising variable points to the specified power if all variable points and the power are integer numbers. |
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R |
The R method transforms data using R package methods. |
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Rand |
The Rand method returns the equally distributed random number in the [0; 1) range. |
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RandBetween |
The RandBetween method returns a random float number between two specified numbers. |
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RandBetweenI |
The RandbetweenI method returns a random integer between two specified integers. |
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Ratio |
The Ratio method calculates the growth coefficient of variable points. |
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Rebase |
The Rebase method applies the Rebase function to the specified variable. |
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Remainder |
The Remainder method returns remainder of division of variable points values by a specified number. |
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Residuals |
The Residuals method returns a residual series. |
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Round |
The Round method rounds off variable points values. |
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RoundDown |
The RoundDown method rounds down variable point values. |
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RoundUp |
The RoundUp method rounds up values of the variable points. |
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SetPeriod |
The SetPeriod method generates period by specified dates. |
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Sign |
The Sign method returns sign of selected variable points. |
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SignI |
The SignI method returns sign of selected variable points, if this variable contains only integer values. |
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Sin |
The Sin method returns sine of selected variable points. |
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Splice |
The Splice method splices variables. |
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SpliceP |
The SpliceP method transforms a variable on the basis of spliced variables. |
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Sqrt |
The Sqrt method returns square root of selected variable points. |
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StDv |
The StDv method returns the standard deviation for the specified variable. |
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Subtract |
The Subtract method returns difference of corresponding points for two or more variables. |
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Sum |
The Sum method returns sum of corresponding points for two or more variables. |
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SumI |
The SumI method returns the sum of corresponding points for two or more variables if they contain only integer values. |
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SumSq |
The SumSq method returns the sum of squares for corresponding points for two or more variables. |
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Tan |
The Tan method returns tangent of selected variable points. |
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Trunc |
The Trunc method truncates variable points to the selected number of decimal places. |
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Truncate |
The Truncate method truncates variable in accordance with selected parameters. |
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Tsls |
The Tsls method models a variable with the help of linear regression (estimation by method of instrumental variables). |
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TslsR |
The TslsR method models variable data using linear regression (instrumental variables estimation). Calculation is executed using the R package. |
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UpperConfidenceLevel |
The UpperConfidenceLevel method returns upper confidence limit of forecast series. |
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Variance |
The Variance method returns variance of the variable. |
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X11 |
The X11 method executes seasonal decomposition and data adjustment. |
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YearSeries |
The YearSeries method returns the current year value for each series point depending on the set calculation periods. |