All functions

Class	Function	Returns
Numeric	abs(data) _{Absolute value}	Number
Numeric	acos(data) _{Returns the arc cosine of a value; the returned angle is in the range 0.0 through pi}	Number
Constructors	AnnualCalendar() _{Creates a new Annual Calendar}	Calendar
BeanConstructors	ApprovalGroup() _{Creates a new curve approval group}	ApprovalGroup
Curve	asDays(contract) _{Splits a Contract into day contracts}	Contracts
Curve	asHours(contract) _{Splits a Contract into hourly contracts}	Contracts
Curve	asHours(contract, timezone) _{Splits a Contract into hourly contracts}	Contracts
Numeric	asin(data) _{Returns the arc sine of a value; the returned angle is in the range -pi/2 through pi/2}	Number
Curve	asMonths(contract) _{Splits a Contract into month contracts - usually used with Quarters, Seasons or Cals}	Contracts
Test	assertEquals(expected, value) _{A test to check if 2 variables or values are equal}	Void
Test	assertEquals(expected, value, message) _{A test to check if 2 variables or values are equal}	Void
Test	assertFalse(value, message) _{A test to check if an expression is false}	Void
Test	assertFalse(value) _{A test to check if an expression is false}	Void
Test	assertHasProperty(var, property) _{A test to check if a variable has a specific named property}	Void
Test	assertNoProperty(var, property) _{A test to check if a variable doesn't have a specific named property}	Void
Test	assertNull(object) _{A test to check if object is null}	Void
Test	assertTrue(value) _{A test to check if an expression is true}	Void
Test	assertTrue(value, message) _{A test to check if an expression is true}	Void
Test	assertType(var, type) _{A test to check if a variable is of a certain type}	Void
Curve	asStrips(input) _{Creates an arbitrage free curve comprised of calendar year strips}	Curve
Numeric	atan(data) _{Returns the arc tangent of a value; the returned angle is in the range -pi/2 through pi/2}	Number
Numeric	atan2(y, x) _{Returns the angle theta from the conversion of rectangular coordinates (x, y) to polar coordinates (r, theta)}	Number
Constructors	Batch() _{Creates a batch to be sent to a message queue}	Batch
Options	blackScholesCall(F, K, sigma, T) _{Calculate the (undiscounted) Black option price for a call option}	Double
Options	blackScholesPut(F, K, sigma, T) _{Calculate the (undiscounted) Black option price for a put option}	Double
Constructors	BlockCalendar(holiday, observed, start, end, timezone) _{Creates a new Block Calendar}	Calendar
Constructors	BlockCalendar(holiday, observed, start, end) _{Creates a new Block Calendar}	Calendar
Curve	bootstrapCurve(input) _{Creates an arbitrage free monthly curve from the input curve}	Curve
BeanConstructors	BuildGroup() _{Creates a new curve build group}	BuildGroup
Constructors	BusinessCalendar() _{Creates a new Business (Monday to Friday) Calendar}	Calendar
Constructors	Calendar(code) _{Creates a new Calendar}	Calendar
String	capitalise(str) _{Returns a Capitalised string.}	String
String	capitaliseFully(str) _{Returns a Capitalised string of all the words.}	String
TimeSeries	cave(data) _{The cumulative average of all the values in the input Timeseries or List}	Number
TimeSeries	cave(data, calendar) _{The cumulative average of all the values in the input Timeseries}	Number
Numeric	cbrt(data) _{Returns the cube root of a double value}	Number
String	clean(str) _{Creates a valid variable name from the input string - spaces converted to underscores and invalid characters removed}	String
General	clone(var) _{Creates a new copy of a variable}	Same type as input
TimeSeries	cmax(data, calendar) _{The cumulative maximum of all the values in the input Timeseries}	Number
TimeSeries	cmax(data) _{The cumulative maximum of all the values in the input Timeseries or List}	Number
TimeSeries	cmin(data, calendar) _{The cumulative minimum of all the values in the input Timeseries}	Number
TimeSeries	cmin(data) _{The cumulative minimum of all the values in the input Timeseries or List}	Number
Curve	combine(base, other, replace) _{Combines 2 curves into 1 - uses the date and expiry calendar from the base}	Curve
Constructors	CombinedHolidayCalendar() _{Creates a new Combined Holiday Calendar}	Calendar
Constructors	CombinedHolidayCalendar(cal1, cal2) _{Creates a new Combined Holiday Calendar using the 2 passed in Holiday Calendars}	Calendar
String	compare(str1, str2) _{Compares the contents of 2 non-null strings, returns true if they are the same}	Boolean
String	concatenate(str1, str2) _{Joins 2 non-null strings together}	String
String	contains(str1, str2) _{Returns true if a string contains another string}	Boolean
General	content()	UNKNOWN
Constructors	Contract(ondate, tenor, value, absolute, start, end, expiry) _{Creates a new Custom Forward Contract}	Contract
Constructors	Contract(ondate, tenor, value, start, end) _{Creates a new Hybrid Forward Contract}	Contract
Constructors	Contract(ondate, tenor, value) _{Creates a new Forward Contract}	Contract
Matrix	correlation(data, shift) _{Create a Pearsons correlation matrix from the columns of a matrix. PearsonsCorrelation computes correlations defined by the formula ```cor(X, Y) = sum[(xi - E(X))(yi - E(Y))] / [(n - 1)s(X)s(Y)]``` where ```E(X)``` and ```E(Y)``` are means of ```X``` and ```Y``` and ```s(X)```, ```s(Y)``` are standard deviations.}	Matrix
Matrix	correlation(data) _{Create a Pearsons correlation matrix from the columns of a matrix. PearsonsCorrelation computes correlations defined by the formula ```cor(X, Y) = sum[(xi - E(X))(yi - E(Y))] / [(n - 1)s(X)s(Y)]``` where ```E(X)``` and ```E(Y)``` are means of ```X``` and ```Y``` and ```s(X)```, ```s(Y)``` are standard deviations.}	Matrix
Matrix	correlation(data, shift) _{Create a Pearsons correlation matrix from a list of timeseries. PearsonsCorrelation computes correlations defined by the formula ```cor(X, Y) = sum[(xi - E(X))(yi - E(Y))] / [(n - 1)s(X)s(Y)]``` where ```E(X)``` and ```E(Y)``` are means of ```X``` and ```Y``` and ```s(X)```, ```s(Y)``` are standard deviations.}	Matrix
Matrix	correlation(data) _{Create a Pearsons correlation matrix from a list of timeseries. PearsonsCorrelation computes correlations defined by the formula ```cor(X, Y) = sum[(xi - E(X))(yi - E(Y))] / [(n - 1)s(X)s(Y)]``` where ```E(X)``` and ```E(Y)``` are means of ```X``` and ```Y``` and ```s(X)```, ```s(Y)``` are standard deviations.}	Matrix
Numeric	cos(data) _{Returns the trigonometric cosine of an angle}	Number
Numeric	cosh(data) _{Returns the hyperbolic cosine of a double value}	Number
Statistics	count(data) _{Gets the count of the values}	Number
Matrix	covariance(data, biasCorrected) _{Create a convariance matrix from a list of timeseries. Unbiased covariances are given by the formula ```cov(X, Y) = sum [(xi - E(X))(yi - E(Y))] / (n - 1)``` where ```E(X)``` is the mean of ```X``` and ```E(Y)``` is the mean of the ```Y``` values. Non-bias-corrected estimates use ```n``` in place of ```n - 1```. Whether or not covariances are bias-corrected is determined by the optional parameter, biasCorrected, which defaults to true.}	Matrix
Matrix	covariance(data) _{Create a convariance matrix from a list of timeseries. Unbiased covariances are given by the formula ```cov(X, Y) = sum [(xi - E(X))(yi - E(Y))] / (n - 1)``` where ```E(X)``` is the mean of ```X``` and ```E(Y)``` is the mean of the ```Y``` values.}	Matrix
TimeSeries	csum(data) _{The cumulative sum of all the values in the input Timeseries or List}	Number
TimeSeries	csum(data, calendar) _{The cumulative sum of all the values in the input Timeseries}	Number
Constructors	Curve(ondate) _{Creates a new Curve}	Curve
Constructors	CurveDate(date, calendar) _{Creates a new Curve Date variable}	CurveDate
Constructors	CurveDate(date, calendar, timezone) _{Creates a new Curve Date variable}	CurveDate
Constructors	CurveSeries(calendar, ondate, data) _{Creates a new Curve Series}	CurveSeries
Constructors	CurveSeries(calendar, ondate, start, data) _{Creates a new Curve Series}	CurveSeries
Constructors	CurveSeries(calendar, ondate) _{Creates a new Curve Series}	CurveSeries
Constructors	DailyCalendar() _{Creates a new Daily Calendar}	Calendar
Constructors	Date() _{Creates a new Date variable as the current date}	Date
Constructors	Date(date) _{Creates a new Date variable}	Date
Constructors	Date(date, format) _{Creates a new Date variable}	Date
Date	daylightSavings(date, timezone) _{Checks a day to see if it is a daylight savings day}	0 if false, -1 if it is the start day of DST, 1 if it is the end day of DST
TimeSeries	diff(series) _{Returns a TimeSeries with the absolute change values from one observation to the next}	TimeSeries
Constructors	Documentation() _{Creates a new default documentation configuration}	Documentation
Constructors	DocumentationLink(url) _{Creates a new documentation URL Link configuration}	Documentation
Constructors	DocumentationLink(url, selector) _{Creates a new documentation URL Link configuration}	Documentation
Constructors	Duration(dur) _{Creates a new Duration}	Duration
Constructors	Duration(dur, calendar) _{Creates a new Duration with a calendar}	Duration
Constructors	DynamicReport() _{Creates a new dynamic report configuration}	Report
General	element()	UNKNOWN
General	elementValues()	UNKNOWN
General	elementValuesIndexOf()	UNKNOWN
String	encodeBase64(content) _{Encode Base64.}	String
String	encodeURI(uri) _{Encode URI.}	String
String	endsWith(str, suffix) _{Tests to see if the first string ends with the specified suffix. If either the string or the suffix are null, it returns false}	Boolean
String	equals(str1, str2) _{Checks to see if 2 strings are the same}	Boolean
String	equals()	UNKNOWN
String	equalsIgnoreCase(str1, str2) _{Checks to see if 2 strings are the same ignoring case}	Boolean
General	evaluate(var) _{Evaluates a string expression and returns the result}	Any
Constructors	Event(ondate, tenor) _{Creates an event that can be added to an object}	Event
Constructors	Event(time) _{Creates an event that can be added to an object}	Event
Constructors	EventCurve(eventlist, calendar, property, tenor) _{Creates a new EventCurve}	EventCurve
Constructors	EventTimeSeries(eventlist, property) _{Creates a new Event TimeSeries using an EventList and the name of the property to use for the TimeSeries values}	EventTimeSeries
Numeric	exp(data) _{Returns Euler's number e raised to the power of a double value}	Number
Constructors	ExpiryCalendar(code) _{Reads an expiry Calendar}	ExpiryCalendar
Constructors	ExpiryCalendar(holiday) _{Creates a new expiry Calendar}	ExpiryCalendar
BeanConstructors	ExportGroup() _{Creates a new curve export group}	ExportGroup
CurveInterpolation	extendCurve(input, years) _{Extends a curve by taking the last period and extending out the required number of years}	Curve
TimeseriesInterpolation	fill(input, method) _{Removes missing values by either filling them with values or removing them entirely}	List or Timeseries
Constructors	FinancialExpiryCalendar(code, holiday, cross, base, offset) _{Creates a financial expiry Calendar}	ExpiryCalendar
General	firstElement()	UNKNOWN
Loader	firstElementOf()	UNKNOWN
Constructors	FixedReport() _{Creates a new Fixed report configuration}	Report
Date	format(date, format) _{Converts a date into a string using the specified format}	String
Loader	formatDateLocale()	UNKNOWN
Loader	formatDates()	UNKNOWN
Loader	formatDatesWithLocale()	UNKNOWN
Loader	formatHarvestDates()	UNKNOWN
Loader	formatListValues()	UNKNOWN
String	formatString(format, str) _{Formats the string passed using the formatter.}	String
Loader	formatValue()	UNKNOWN
Loader	formatValues()	UNKNOWN
CurveInterpolation	forwardFillCurve(input) _{Fills any gaps by forward filling and missing periods}	Curve
Statistics	geomean(data) _{Gets the geometric average value}	Number
GeoConstructors	GeometryCollection() _{Creates an empty GeometryCollection geometry object}	GeometryCollection
GeoConstructors	GeometryCollection() _{Creates a GeometryCollection geometry object}	GeometryCollection
DatasetMonitoring	getDataset(dsid) _{Gets the dataset information for the supplied dsid}	Dataset
DatasetMonitoring	getDatasetDelivery(dsid, date) _{Gets the dataset delivery information for the supplied date}	DatasetDelivery
Statistics	GLSMultipleRegression(y, x, covariance) _{GLSMultipleLinearRegression provide least squares regression to fit the linear model: Y=X*b+u where Y is an n-vector regressand, X is a [n,k] matrix whose k columns are called regressors, b is k-vector of regression parameters and u is an n-vector of error terms or residuals. GLSMultipleLinearRegression implements Generalized Least Squares. Data for OLS models can be loaded in a single double[] array, consisting of concatenated rows of data, each containing the regressand (Y) value, followed by regressor values; or using a double[][] array with rows corresponding to observations. GLS models also require a double[][] array representing the covariance matrix of the error terms.}	Object
Constructors	HolidayCalendar() _{Creates a new Holiday Calendar}	Calendar
Constructors	HourlyBlockCalendar(holiday, start, end, timezone) _{Creates a new Hourly Block Calendar}	Calendar
Constructors	HourlyBlockCalendar(holiday, start, end) _{Creates a new Hourly Block Calendar}	Calendar
Constructors	IdentityMatrix(size) _{Creates a new identity matrix of the given size}	Matrix
Constructors	Index() _{Creates a new Database Index}	Index
String	indexOf(str1, str2) _{Returns a int value that is a indexOf of a string.}	int
Loader	initialiseList()	UNKNOWN
Constructors	InsightReport() _{Creates a new insight report configuration}	Report
Constructors	IntradayCalendar(period, holiday) _{Creates a new Intraday Calendar}	Calendar
Constructors	IntradayCalendar(period, holiday, withoutHours) _{Creates a new Intraday Calendar}	Calendar
Constructors	IntradayCalendar(period, holiday, withoutHours, timezone) _{Creates a new Intraday Calendar}	Calendar
Constructors	IntradayCalendar(period) _{Creates a new Intraday Calendar}	Calendar
Constructors	IntradayCalendar(period, holiday, withoutHours, timezone, useHolidays) _{Creates a new Intraday Calendar}	Calendar
DatasetMonitoring	isDatasetComplete(dsid, date) _{Checks to see if the supplied dataset is 100% complete for the supplied date}	Boolean
String	isNumber(str) _{Returns true if a string is a Number}	Boolean
Constructors	ISODate(date) _{Creates a new Date variable from the supplied ISO Date formatted string}	Date
String	json(var) _{Converts the input variable of any type to a JSON formatted string}	String
Statistics	kurtosis(data) _{Gets the kurtosis}	Number
General	lastElement()	UNKNOWN
Loader	lastElementOf()	UNKNOWN
String	lastIndexOf(str1, str2) _{Returns a int value that is a last IndexOf of a string.}	int
String	left(str, amount) _{Creates a new string from the 'amount' leftmost characters of another string}	String
String	length(str) _{Returns the length of the string}	Int
GeoConstructors	LineString() _{Creates a LineString geometry object with the supplied list of coordinates}	GeoSpatial
GeoConstructors	LineString() _{Creates a LineString geometry object}	GeoSpatial
Constructors	Link() _{Creates a link that can be added to an item}	Reference
Constructors	List() _{Creates a new List}	List
General	loadCalendars() _{Loads all known public and private calendars into memory}	Void
General	loadTypes() _{Loads all known public and private types into memory}	Void
Numeric	log(data) _{Returns the natural logarithm (base e) of a double value}	Number
Numeric	log10(data) _{Returns the base 10 logarithm of a double value}	Number
Numeric	log1p(data) _{Returns the natural logarithm of the sum of the argument and 1}	Number, tags = {"curve","timeseries","scalar","list"}
String	lower(str) _{Returns a copy of the passed in string with all the characters converted to lower case}	String
Loader	matches()	UNKNOWN
Constructors	Matrix(labels, v) _{Creates a new matrix from a list of labels}	Matrix
Constructors	Matrix(y, x, v) _{Creates a new matrix, initialising all values to the provided value}	Matrix
Constructors	Matrix(labels) _{Creates a new matrix from a list of labels}	Matrix
Constructors	Matrix(labels, v) _{Creates a new matrix from a list of labels}	Matrix
Constructors	Matrix(labels) _{Creates a new matrix from a list of labels}	Matrix
Constructors	Matrix(x, y) _{Creates a new matrix}	Matrix
Statistics	max(data) _{Gets the highest value}	Number
Statistics	mean(data) _{Gets the arithmetic average value}	Number
Constructors	Message() _{Creates a new coded message}	Message
Introspection	methods(object) _{Returns the methods available for a given variable}	List
Statistics	min(data) _{Gets the lowest value}	Number
Validation	missing(series) _{Checks for unexpected missing values in a TimeSeries}	TimeSeries
Constructors	MonthlyCalendar() _{Creates a new Monthly Calendar}	Calendar
Constructors	MonthlyCalendar(code, name, period) _{Creates a new Monthly Calendar with a period specifier}	Calendar
GeoConstructors	MultiLineString() _{Creates an empty MultiLineString geometry object}	GeoSpatial
GeoConstructors	MultiLineString() _{Creates an empty MultiLineString geometry object}	GeoSpatial
GeoConstructors	MultiPoint() _{Creates a MultiPoint geometry object}	GeoSpatial
GeoConstructors	MultiPoint() _{Creates a MultiPoint geometry object with the supplied list of coordinates}	GeoSpatial
GeoConstructors	MultiPolygon() _{Creates an empty MultiPolygon geometry object}	GeoSpatial
GeoConstructors	MultiPolygon() _{Creates a MultiPolygon geometry object with the supplied polygons}	GeoSpatial
String	normalise(str) _{Returns a normalised string removing all accents of the string passed.}	String
Curve	normaliseCurve(input) _{Normalises a curve such that all the inputs average to 1}	Curve
Constructors	Null() _{Creates a Null variable}	Null
Constructors	Object() _{Creates a new Object of type #Object}	Object
Constructors	Object(type) _{Creates a new Object of the specified type}	Object
Constructors	ObjectId() _{Creates a unique object id}	String
Constructors	OffsetDailyCalendar(timezone, dayOffset, hour) _{Creates a new Offset Daily Calendar}	Calendar
Statistics	OLSMultipleRegression(y, x) _{OLSMultipleLinearRegression provide least squares regression to fit the linear model: Y=X*b+u where Y is an n-vector regressand, X is a [n,k] matrix whose k columns are called regressors, b is k-vector of regression parameters and u is an n-vector of error terms or residuals. OLSMultipleLinearRegression provides Ordinary Least Squares Regression. Data for OLS models can be loaded in a single double[] array, consisting of concatenated rows of data, each containing the regressand (Y) value, followed by regressor values; or using a double[][] array with rows corresponding to observations.}	Object
TimeSeries	overlay(base, other) _{Returns a TimeSeries with all the non-missing values from other added to base}	TimeSeries
Date	parse(date, format) _{Converts a string into a date using the specified format}	String
Date	parse(date, format, tz) _{Converts a string into a date using the specified format and timezone}	String
Date	parseISODate(date) _{Converts a ISO Date format string into a date}	String
TimeSeries	pct(series) _{Returns a TimeSeries with the percentage change values from one observation to the next}	TimeSeries
Statistics	percentile(data, percentile) _{Gets the percentile}	Number
GeoConstructors	Point(longitude, latitude) _{Creates a single coordinate point}	GeoSpatial
Constructors	Policy() _{Creates a new security policy}	Policy
GeoConstructors	Polygon() _{Creates a empty Polygon geometry object}	GeoSpatial
GeoConstructors	Polygon() _{Creates a Polygon geometry object with a single ring containing the supplied coordinates}	GeoSpatial
GeoConstructors	Polygon() _{Creates a Polygon geometry object with a multiple rings containing the supplied geometries}	GeoSpatial
Statistics	popvar(data) _{Gets the population variance}	Number
Numeric	pow(data, power) _{Returns the value of the first argument raised to the power of the second argument}	Number
Constructors	Process() _{Creates a new Process}	Process
Introspection	properties(object) _{Returns an array of Strings that gives information about the properties on a variable}	List(String)
Statistics	quadmean(data) _{Gets the quadratic average value}	Number
BeanConstructors	QualityGroup() _{Creates a new curve quality group}	QualityGroup
Constructors	QuarterlyCalendar() _{Creates a new Quarterly Calendar}	Calendar
BeanConstructors	Queue(name) _{Creates a new queue}	Queue
DataGeneration	random() _{Creates a random number between 0 and 1}	Scalar
DataGeneration	randomInteger(var) _{Creates a random integer between 0 and the supplied number - 1}	Scalar
General	ref(Service, Id) _{Creates a reference to a variable}	Reference
General	ref(var) _{Creates a reference to a variable}	Reference
String	remove(str, regex) _{Removes all the characters according to the regex parameter from the passed in string}	String
Loader	removeEmpty()	UNKNOWN
String	replace(str, match, replacement) _{Replaces each substring of the input string that matches the literal match string with the specified literal replacement string}	String
String	replaceAll(str, regex, replacement) _{Replaces all the characters according to the regex parameter from the passed in string with the passed in literal replacement string}	String
General	replaceElements()	UNKNOWN
Loader	replaceEmptyValues()	UNKNOWN
Loader	replaceValues()	UNKNOWN
Constructors	Report() _{Creates a new report configuration}	Report
Constructors	ReportCreator() _{Creates a new report creator}	ReportCreator
Loader	reverseList()	UNKNOWN
Constructors	Row() _{Creates a new Row}	Row
TimeSeriesScaling	scale(input, calendar) _{Scales a TimeSeries to the supplied calendar using the observed setting on the TimeSeries or the global observed setting}	TimeSeries
TimeSeriesScaling	scale(input, calendar, observed) _{Scales a TimeSeries to the supplied calendar using the observed setting on the TimeSeries or the global observed setting}	TimeSeries
TimeSeriesScaling	scale(input, calendar, observed, distribution) _{Scales a TimeSeries to the supplied calendar using the observed setting on the TimeSeries or the global observed setting}	TimeSeries
Constructors	Script() _{Creates a new Script}	Script
Constructors	Secret(value) _{Creates a new Secret Value}	Secret
Curve	shape(input) _{Simple shaping algorithm used to shape a monthly curve}	Curve
TimeSeries	shift(series, observations) _{Returns a TimeSeries that is shifted in time by the number of specified observations}	TimeSeries
Constructors	SimpleObject() _{Creates a new SimpleObject or JSON Document}	SimpleObject
Statistics	simpleRegression(data) _{Provides ordinary least squares regression with one independent variable estimating the linear model: y = intercept + slope * x or y = slope * x Standard errors for intercept and slope are available as well as ANOVA, r-square and Pearson's r statistics. Observations (x,y pairs) can be added to the model one at a time or they can be provided in a 2-dimensional array. The observations are not stored in memory, so there is no limit to the number of observations that can be added to the model.}	Object
Statistics	simpleRegression(data) _{Provides ordinary least squares regression with one independent variable estimating the linear model: y = intercept + slope * x or y = slope * x Standard errors for intercept and slope are available as well as ANOVA, r-square and Pearson's r statistics. Observations (x,y pairs) can be added to the model one at a time or they can be provided in a 2-dimensional array. The observations are not stored in memory, so there is no limit to the number of observations that can be added to the model.}	Object
Numeric	sin(data) _{Returns the trigonometric sine of an angle}	Number
Numeric	sinh(data) _{Returns the hyperbolic sine of a double value}	Number
Statistics	skew(data) _{Gets the skewness}	Number
Statistics	sma(data, window) _{A simple moving average}	TimeSeries
Constructors	SmartCurve() _{Creates a new Smart Curve}	SmartCurve
Constructors	SmartCurve(base, expression) _{Creates a new Smart Curve using a base curve and expression}	SmartCurve
Constructors	SmartTimeSeries(start, calendar, expression) _{Creates a new Smart TimeSeries using a base TimeSeries and expression}	SmartTimeSeries
Constructors	SmartTimeSeries(expression) _{Creates a new Smart TimeSeries using an expression}	SmartTimeSeries
Constructors	SmartTimeSeries(base, expression) _{Creates a new Smart TimeSeries using a base TimeSeries and expression}	SmartTimeSeries
GeoConstructors	Sphere() _{Creates a centerSphere geometry object used in geospatial queries}	GeoSpatial
GeoConstructors	Sphere() _{Creates a nearSphere geometry object used in geospatial queries}	GeoSpatial
String	split(str, sep) _{Splits the string passed by the separator.}	List
Numeric	sqrt(data) _{Returns the correctly rounded positive square root of a double value}	Number
String	startsWith(str, prefix) _{Tests to see if the first string starts with the specified prefix. If either the string or the prefix are null, it returns false}	Boolean
Statistics	stdev(data) _{Gets the standard deviation}	Number
Constructors	String(text) _{Creates a new string scalar using the supplied text}	String
BeanConstructors	Subscription() _{Creates a new subscription}	Subscription
String	substring(str, beginIndex, endIndex) _{Returns a string that is a substring of another string. The substring begins with the character at the specified index (counting from 0) and extends to the character at the end index -1. If the end index is entered as -1, the substring ends as the last character in the input string.}	String
Statistics	sum(data) _{Gets the sum of the values}	Number
Statistics	sumsq(data) _{Gets the sum of the squares}	Number
Constructors	Table() _{Creates a new Table}	Table
Numeric	tan(data) _{Returns the trigonometric tangent of an angle}	Number
Numeric	tanh(data) _{Returns the hyperbolic tangent of a double value}	Number
Constructors	Task() _{Creates a new user task}	Task
Constructors	TimeOfDay(time) _{Creates a new TimeOfDay variable using the supplied Stirng in the format hh:mm}	TimeOfDay
Constructors	TimeSeries(start, Calendar, intervalPositions, value, dataType, positionCalendar) _{Creates a new TimeSeries variable}	TimeSeries
Constructors	TimeSeries(calendar) _{Creates a new TimeSeries variable}	TimeSeries
Constructors	TimeSeries(calendar, dataType) _{Creates a new TimeSeries variable}	TimeSeries
Constructors	TimeSeries(start, end, Calendar, value, dataType) _{Creates a new TimeSeries variable}	TimeSeries
Constructors	TimeSeries(start, Calendar, value) _{Creates a new TimeSeries variable}	TimeSeries
Constructors	TimeSeries(start, Calendar, value, dataType) _{Creates a new TimeSeries variable}	TimeSeries
Constructors	TimeStamp() _{Creates a new Date variable as the current date and time}	Date
Numeric	toDegrees(data) _{Converts an angle measured in radians to an approximately equivalent angle measured in degrees}	Number
Conversion	toInt(var) _{Converts any input number to an integer}	Scalar
Loader	toPropertySet()	UNKNOWN
Numeric	toRadians(data) _{Converts an angle measured in degrees to an approximately equivalent angle measured in radians}	Number
String	trim() _{Returns a string with any space characters from the start or end of the string removed}	String
Introspection	typeOf(object) _{Returns a String with the type name of a variable}	String
General	uid() _{Generates a unique ID}	String
String	upper(str) _{Returns a copy of the passed in string with all the characters converted to UPPER case}	String
Statistics	var(data) _{Gets the variance}	Number
Introspection	variable(name) _{Returns the variable with the given name}	Any
Introspection	variable(var, name) _{Returns the variable with the given name}	Any
Introspection	variables() _{Returns a list of the current variables}	List
Constructors	WeeklyCalendar(dow) _{Creates a new Weekly Calendar}	Calendar
Constructors	WeeklyCalendar(dow, holcal, rollbackwards) _{Creates a new Weekly Calendar}	Calendar
Constructors	WidgetReport() _{Creates a new widget report configuration}	Report