Script Accessible Functions

1 Date and Time
2 String and characters
3 Statistics
4 Distributions
- 4.1 CDF
- 4.2 PDF
- 4.3 INV
5 Math
6 Data Generation
7 Miscellanneous
8 NAG Special

Date and Time

Date	Returns the Julian-day value which Origin uses internally to represent dates.
Day	Returns the day number of a given date.
Hour	Returns the hour as an integer, ranging from 0 (12:00 A.M.) to 23 (11:00 P.M.).
Minute	Returns the minutes as an integer, ranging from 0 to 59.
Month	Returns the month as an integer from 1 (January) to 12 (December).
MonthName	Returns the Month name for specified month by index of 1 to 12, or as a Date value.
Now	Returns the current date-time as a date(Julian days) value.
Quarter	returns 1,2,3,4 with date argument.
Second	Returns the seconds as a real value in the range 0 (zero) to 59.9999...
Time	Returns the Julian-day value which Origin uses internally to represent time.
Today	Returns the current date as a date(Julian days) value.
WeekDay	Return 1,2,3 etc for day of the week.
WeekNum	Returns 1 to 53, indicating the calendar week number of the year.
Year	Returns the year as an integer in the range 0100-9999.
YearName	Returns the year in string form with input of year or date, with option n.

String and characters

Char	Returns the character specified by the code number.
Code	Returns a numeric code for the first character in input string
Compare	To compare str1 with str2, identical will return 1.
Exact	Returns TRUE if both strings are an exact match (case and length).
Find	Return location of a substring(str2) in a string(str1). The search is case-sensitive. To do case insensitive search, use the Search function.
Format	Convert double to string with LabTalk formatting option. Formatting option default is "" will use @SD significant digits, "3" will show as 3 significant digits.
Left	Returns left-most n characters.
Len	Return the length of a string.
Lower	CONVERT TO lowercase
MatchBegin	Return the beginning location of a substring in a string(str1) by using a string pattern(str2) containing wildcard characters like * or ?.
MatchEnd	Return the ending location of a substring in a string(str1) by using a string pattern(str2) containing wildcard characters like * or ?.
Mid	Returns n2 characters of string starting from n1th position (numbered from 1).
Replace	Replace n2 characters in string1 starting at n1th position with string2. String2 may be different length than n2.
Right	Returns right-most n characters
Search	Return the location of a substring(str2) in a string(str1). the search is NOT case-sensitive. To do case-sensitive search, use the Find function.
Substitute	Substitute string3 with string2 when found in string1. n=0 Substitute all, otherwise only nth instance.
Trim	Trim spaces from string, options include.
Upper	Convert to UPPERCASE

Statistics

Ave	Breaks dataset into groups of size size, finds the average for each group, and returns a range containing these values.
Count	Counts elements in a vector.
Cov	Returns the covariance between two datasets.
Diff	Returns a dataset that contains the difference between adjacent elements in dataset.
Histogram	Generates data bins from dataset in the specified range from min to max. The bin width is equal to inc.
Max	Returns the maximum of a vector.
Mean	Returns the average of a vector.
Median	Returns median of vdData with nInterpolation.
Min	Returns the minimum of a vector.
Percentile	Returns a range comprised of the percentile values for dataset1 at each percent value specified in dataset2.
QCD2	Returns a factor (Quality Control D2 Factor) that estimates the standard deviation of a parent distribution (or population) from an average range when the sample size (or subgroup size) n is given.
QCD3	Returns a factor (Quality Control D3 Factor) that determines the 3-sigma lower control limit for R charts (Range of Sample Charts) from the average range when the sample size (or subgroup size) n is given.
QCD4	Returns a factor (Quality Control D4 Factor) that determines the 3-sigma upper control limit for R charts (Range of Sample Charts) from the average range when the sample size (or subgroup size) n is given.
Ss	Assumes the mean of the data as the reference value.
StdDev	The Sample Standard Deviation.
StdDevP	The Sample Standard Deviation.
Sum	Returns a range whose i th element is the sum of the first i elements of the dataset dataset.
Total	Returns the sum of a vector.

Distributions

CDF

Betacdf	Computes beta cumulative distribution function at $x$ , with parameters $a$ and $b$ .
Binocdf	Computes the lower tail, upper tail and point probabilities in given value $k$ , associated with a Binomial distribution using the corresponding parameters in $n$ , $p$ .
Bivarnormcdf	Computes the lower tail probability for the bivariate Normal distribution.
Chi2cdf	Computes the lower tail probability for the $χ 2$ distribution with real degrees of freedom.
Fcdf	Computes $F$ cumulative distribution function at $x$ , with parameters $a$ and $b$ , and lower tail.
Gamcdf	Computes the lower tail probability for the gamma distribution with real degrees of freedom, with parameters $α$ and $β$ .
Hygecdf	Computes the lower tail probabilities in given value , associated with a hypergeometric distribution using the corresponding parameters in ,nand .
Ncbetacdf	Computes the cdf with the lower tail of the non-central beta distribution.
Ncchi2cdf	Computes the probability associated with the lower tail of the non-central $χ 2$ distribution.
Ncfcdf	Computes the probability associated with the lower tail of the non-central $\digamma$ or variance-ratio distribution.
Normcdf	Computes the lower tail probability for the standard distribution.
Poisscdf	Computes the lower tail probabilities in given value $k$ , associated with a Poisson distribution using the corresponding parameters in $λ$ .
Srangecdf	Computes the probability associated with the lower tail of the distribution of the Studentized range statistic.
Tcdf	Computes the cumulative distribution function of Student's t-distribution.
Wblcdf	Computes the low tail Weibull cumulative distribution function for value $x$ using the parameters $a$ and $b$ .

PDF

Betapdf	Returns the probability density function of the beta distribution with parameters a and b.
Betapdf	Computes the low tail Weibull cumulative distribution function for value x using the parameters a and b.

INV

betainv	Returns the inverse of the cumulative distribution function for a specified beta distribution.
Chi2inv	Computes the inverse of the $χ 2$ cdf for the corresponding probabilities in $X$ with parameters specified by $ν$ .
Finv	Computes the inverse of $F$ cdf at $x$ , with parameters $ν 1$ and $ν 2$ .
Gaminv	Computes the inverse of Gamma cdf at $g p$ , with parameters $a$ and $b$ .
Norminv	computes the deviate, $x p$ , associated with the given lower tail probabilip, $p$ , of the standardized normal distributio.
Srangeinv	Computes the deviate, $x p$ , associated with the lower tail probability of the distribution of the Studentized range statistic.
Tinv	Computes the deviate associated with the lower tail probability of Student's t-distribution with real degrees of freedom.
Wblinv	Computes the inverse Weibull cumulative distribution function for the given probability using the parameters a and b.

Math

abs	Returns the absolute value of a number
acos	Return the arccosine of a number, the result is in radians
Acosh	Return the inverse hyperbolic cosin.
Angle	Returns the angle in radians.
Asin	Returns the inverse of the corresponding trigonometric function.
Asinh	Return the inverse hyperbolic sine.
Atan	Returns the inverse of the corresponding trigonometric function.
Atanh	Return the inverse hyperbolic tangent.
Beta	The Beta function has the following form: beta(a, b).
Cos	Returns value of cosine for each value of the given x.
Cosh	The cosh(x) function is the hyperbolic form of cos(x) .
Degrees	Converts the radians into degrees.
Exp	Returns the exponential value of x.
IncBeta	Incomplete Beta Function.
incf	the incomplete F-table function
incgama	No page exists.
Int	Returns the truncated integer of x. For example, int(7.9) = 7.
Inverf	Computes inverse error function fnction at x.
J0	Zero Order Bessel Function
J1	First Order Bessel Function
Jn	The Bessel function of order n (where n is an integer)
Ln	Returns the natural logarithm value of x.
Log	Returns the base 10 logarithm value of x.
Mod	Returns the integer modulus (the remainder from division) of integer x divided by integer y.
Nint	The return value of the nint(x) function is identical to round(x, 0).
Prec	Returns a value (or a dataset) such that the numbers contain p places of significance.
Rmod	Returns the real modulus (the remainder from division) of real number x divided by real number y.
Round	Returns a value (or a dataset) with p decimal places accuracy.
Sin	Returns value of sine for each value of the given x.
Sinh	The sinh(x) function is the hyperbolic form of sin(x).
Sqrt	The sqrt(x) function returns the square root of x.
Tan	Returns value of tangent for each value of the given x.
Tanh	The tanh(x) function is the hyperbolic form of and tan(x).
Y0	Zero Order Bessel Function of Second Kind
Y1	First order Bessel function of second kind
Yn	Bessel Function of Second Kind
Radians	converts degrees into radians.
Distance	returns the distance with two points.
Distance3D	returns the distance with two points in 3D.
Angleint1	returns angle with one line which through two points(x1, y1) and (x2, y2) with X axis. Returns degrees if unit=1 or radians if unit=0, default is radians.
Angleint2	returns angle with two lines. Returns degrees if unit=1 or radians if unit=0, default is radians.

Data Generation

Data	Creates a dataset with an initial value of x1, a final value of x2, and an increment equal to inc.
Errof	Returns the dataset (error column) containing the error values of dataset.
FindMasks	Returns a dataset that contains the indexes of the masked data points.
Grnd	Returns a value from a normally (Gaussian) distributed sample, with zero mean and unit standard deviation.
Normal	Returns a range with npts number of values.
Peaks	Returns a dataset containing indices of peaks found using width and minHeight as a criteria.
Poisson	Returns npts number of random integers having a Poisson distribution with mean mean.seed is optional.
ran	return a value between 0 and 1 from a uniformly distributed sample.
Rnd	Return a value between 0 and 1 from a uniformly distributed sample.
TReplace	Returns a dataset.
Uniform	Returns a range with npts number of values.
Xof	Returns a string containing the X values of dataset.

Miscellanneous

BitAND	return bitwise AND operation of two intergers.
BitOR	return bitwise OR operation of two intergers.
BitXOR	return bitwise XOR operation of two intergers.
ISNA	determind whether the number is a NANUM.
NA	return NANUM.
sort	Returns a dataset that contains dataset, sorted in ascending order.

NAG Special

Airy_ai	Evaluates an approximation to the Airy function, Ai(x).
Airy_ai_deriv	Evaluates an approximation to the derivative of the Airy function Ai(x). It is based on a number of Chebyshev expansions.
Airy_bi	Evaluates an approximation to the Airy function Bi(x).
Airy_bi_deriv	Evaluates an approximation to the derivative of the Airy function Bi(x). It is based on a number of Chebyshev expansions.
Bessel_i_nu	Evaluates an approximation to the modified Bessel function of the first kind I $ν$ /4 (x), where the order v=-3, -2, -1, 1, 2 or 3 and x is real and positive.
Bessel_i_nu_scaled	Evaluates an approximation to the modified Bessel function of the first kind $e^{-x}I_{\frac \nu 4}(x)$ , where the order =-3, -2, -1, 1, 2 or 3 and x is real and positive.
Bessel_i0	Evaluates an approximation to the modified Bessel function of the first kind, I0(x).
Bessel_i0_scaled	Evaluates an approximation to $e - \| x \| I 0 (x)$ , where IO is a modified Bessel function of the first kind.
Bessel_i1	Evaluates an approximation to the modified Bessel function of the first kind, $I 1 (x)$ .
Bessel_i1_scaled	Evaluates an approximation to $e - \| x \| I 1 (x)$ , where $I 1 (x)$ is a modified Bessel function of the first kind.
Bessel_j0	Evaluates the Bessel function of the first kind, $J 0 (x)$ .
Bessel_j1	Evaluates an approximation to the Bessel function of the first kind $J 1 (x)$ .
Bessel_k_nu	Evaluates an approximation to the modified Bessel function of the second kind $K υ / 4 (x)$ , where the order =-3, -2, -1, 1, 2 or 3 and x is real and positive.
Bessel_k_nu_scaled	Evaluates an approximation to the modified Bessel function of the second kind $e - x K υ / 4 (x)$ , where the order $ν$ = -3, -2, -1, 1, 2 or 3 and x is real and positive.
Bessel_k0	Evaluates an approximation to the modified Bessel function of the second kind, $K_0\left( x\right)$ .
Bessel_k0_scaled	Evaluates an approximation to $e^xK_0\left( x\right)$ , where $K 0$ is a modified Bessel function of the second kind.
Bessel_k1	Evaluates an approximation to the modified Bessel function of the second kind, $K_1\left( x\right)$ .
Bessel_k1_scaled	Evaluates an approximation to $e^xK_1\left( x\right)$ , where $k 1$ is a modified Bessel function of the second kind.
Bessel_y0	Evaluates the Bessel function of the second kind, Y0
Bessel_y1	Evaluates the Bessel function of the second kind, Y1.
Cos_integral	Evaluates $C i = c o s_i n t e g r a l (x)$ .
Cumul_normal	Evaluates the cumulative Normal distribution function.
Cumul_normal_complem	Evaluates an approximate value for the complement of the cumulative normal distribution function.
Elliptic_integral_rc	Calculates an approximate value for the integral where x ≥ 0 and y ≠ 0.
Elliptic_integral_rd	Calculates an approximate value for the integral where x, y ≥ 0, at most one of x and y is zero, and z > 0.
Elliptic_integral_rf	Calculates an approximation to the integral where x, y, z ≥ 0 and at most one is zero.
Elliptic_integral_rj	Calculates an approximation to the integral Where x,y,z ≥ 0 , $ρ$ ≠0 and at most one of x, y and z is zero.
Erf	Calculates the error function (or normal error integral).
Erfc	Calculates an approximate value for the complement of the error function.
erfcinv	No page exists.
erfcx	No page exists.
erfinv	No page exists.
Exp_integral	Evaluates $E 1 = e x p_i n t e g r a l (x)$ .
Fresnel_c	Evaluates an approximation to the Fresnel Integral.
Fresnel_s	Evaluates an approximation to the Fresnel Integral which is based on Chebyshev expansions.
Gamma	Evaluates $g a m m a = g a m m a (x)$ .
Incomplete_gamma	Evaluates the incomplete gamma functions in the normalized form.
jacobian_theta	No page exists.
Kelvin_bei	Evaluates an approximation to the Kelvin function bei x.
Kelvin_ber	Evaluates an approximation to the Kelvin function ber x.
Kelvin_kei	Evaluates an approximation to the Kelvin function kei x.
Kelvin_ker	Evaluates an approximation to the Kelvin function ker x.
Log_gamma	Evaluates $lnΓ(x)$ .x > 0 which is based on Chebyshev expansions.
Real_polygamma	Evaluates an approximation to the kth derivative of the psi function ?(x).
Sin_integral	Evaluates Si = sin_integral(x).

Script Accessible Functions

Contents

Date and Time

String and characters

Statistics

Distributions

CDF

PDF

INV

Math

Data Generation

Miscellanneous

NAG Special