IModelling

Assembly: Ms;

Namespace: Prognoz.Platform.Interop.Ms;

Description

The IModelling interface contains methods that are used to transform variables.

Inheritance Hierarchy

          IModelling

Comments

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.

Methods

	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 value by the ARIMA method.
	ArimaR	The ArimaR method models variable values with the ARIMA method using the R package.
	ASCII	The ASCII method returns ASCII code for the first string character.
	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.
	Char	The Char method returns a character that corresponds to the specified ASCII code.
	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.
	Contains	The Contains method returns whether a source string contains a searched substring.
	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.
	Default_	The Default_ method returns Null.
	Diff	The Diff method calculates increment of variable points in comparison with previous period.
	DiffX	The DiffX method calculates increment of variable points in comparison with the selected period.
	DiffY	The DiffY method calculates increment of variable points in comparison with 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 increment of the logarithm of variable points in comparison with previous period.
	DLogX	The DLogX method calculates increment of the logarithm of variable points in comparison with the selected 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.
	EndsWith	The EndsWith method returns whether a source string ends with the searched substring.
	Estimate	The Estimate method returns estimated value of a constant.
	Exp	The Exp method returns the result of raising the number "e" to the power, specified by 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 method fills empty values of the series using various missing data treatment methods.
	Find	The Find method returns position of substring start in the specified source string.
	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 points to multiple of the specified accuracy. The variable must only contain integer values.
	Forecast	The Forecast method returns forecast 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 a variable using the Hodrick-Prescott filter (smoothing parameter is lambda).
	HpfP	The HpfP method smoothes the variable with the Hodrick-Prescott filter, by calculating the smoothing parameter depending on the model frequency and the degree parameter.
	HpfR	The HpfR method smoothes data of a variable using 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 returns whether series is empty.
	Lag	The Lag method shifts variable forward by the specified number of points in a time period.
	Lead	The Lead method shifts variable backwards by the specified number of points in a time period.
	Left	The Left method returns the specified number of characters from the left string edge.
	Length	The Length method returns the number of characters in the specified string.
	Level	The Level method applies the Level function to selected 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 logarithm of selected variable points to selected base.
	Log10	The Log10 method returns base-10 logarithm of selected variable points.
	Lower	The Lower method returns the specified string transformed into low case.
	LowerConfidenceLevel	The LowerConfidenceLevel method returns lower confidence limit of forecast series.
	Lrxf	The Lrxf method models variable with the help of LRX-filter.
	LTrim	The LTrim method returns the string with removed spaces at the string start.
	Max	The Max method returns maximum value of variable points.
	Max_	The Max_ method returns maximum of the two strings by means of characterwise comparison.
	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 models a variable with the help of median smoothing.
	MedianSmoothR	The MedianSmoothR method applies median smoothing to a variable using the R package.
	Mid	The Mid method returns a substring of the specified length that starts with the specified position of source string.
	Min	The Min method returns minimum value of variable points.
	Min_	The Min_ method returns minimum of the two strings by means of characterwise comparison.
	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 data of a variable using the 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 a variable with the help of linear regression (OLS estimation).
	OlsR	The Ols method models variable data with the help of linear regression (OLS estimation). Calculation is executed using the R package.
	Pch	The Pch method calculates rate of change of variable points in comparison with previous period.
	PchA	The PchA method calculates the rate of change of variable points in comparison with the previous period with seasonality adjustment.
	PchX	The PchX method calculates the rate of change of variable points in comparison with the selected period.
	PchY	The PchY method calculates the rate of change of variable points in comparison with 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. All variable points and the power must be integers.
	R	The R method transforms data using R package methods.
	Rand	The Rand method returns a random uniformly distributed number, greater or equal to 0 and less than 1.
	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 growth coefficient for variable points.
	Rebase	The Rebase method applies the Rebase function to selected variable.
	Remainder	The Remainder method returns remainder of division of variable points values by a specified number.
	Replace	The Replace method returns a string, in which all occurrences of the specified substring are replaced with the specified string.
	Residuals	The Residuals method returns a residual series.
	Right	The Right method returns the specified number of characters from the right string edge.
	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.
	RTrim	The RTrim method returns a string with removed spaces at the string end.
	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.
	Space	The Space method returns a string that consists of the specified number of spaces.
	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.
	StartsWith	The StartsWith method returns whether a source string starts with the searched substring.
	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.
	Trim	The Trim method returns a string with removed spaces at the string start and end.
	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.
	Upper	The Upper method returns the specified string transformed into upper case.
		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:

Ms Assembly Interfaces