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