2.13.1.5 distfit (Pro)

1 Menu Information
2 Brief Information
3 Additional Information
4 Command Line Usage
5 X-Function Execution Options
6 Variables
7 Description
8 Algorithm

Menu Information

Statistics: Descriptive Statistics: Distribution Fit

Brief Information

Fit parametric distribution to data

Additional Information

Minimum Origin Version Required: Origin 2015 SR0

This feature is OriginPro only.

Command Line Usage

1. distfit stat.moment:=0 stat.sum:=1 test.mtest.mean:=35 test.mtest:=1 dist.wb:=1 dist.gamma:=1 plot.plotinone:=1 ksmod:=1 plotdata:=<new>;//Carry out distribution fit on the active data range

2. distfit irng:=[Book1]Sheet1!B group:=[Book1]Sheet1!A stat.perc:=0 stat.sum:=1 stat.kurt:=1 test.mtest:=0 test.stest.var:=20.14 test.stest.cis:="" test.stest:=1 type:=1 dist.bino:=1 plot.cdf:=1 ks:=1 plotdata:=<new>;

X-Function Execution Options

Please refer to the page for additional option switches when accessing the x-function from script

Variables

Display Name	Variable Name	I/O and Type	Default Value	Description
Data Range	irng	Input Range	<active>	Specifies the input data range, could be multiple columns. Note that beginning with Origin 2020b, there is a shortened syntax that follows the form [Book]Sheet!(N1:N2), N1 = the beginning column index and N2 being the ending column index in a contiguous range of columns. More complex strings from non-contiguous data of the form [Book]Sheet!([Book]Sheet!N1:N2,[Book]Sheet!N3:N4) are also possible.
Grouping Range	group	Input Range	<unassigned>	Specifies the grouping range (optional), only one column can be specified.
Basic Statistics	stat	Input TreeNode	<unassigned>	Specify whether to output a specified descriptive statistics quantities. Each sub node controls refers to a quantity. Available sub nodes includes: perc:The quantiles values, which include minimum, 1st quartile(Q1), Median, 3rd quartile(Q3), maximum, interquartile range (Q3 - Q1), range (maximum - minimum) moment:The moments, which include N, N missing, mean, standard deviation(SD), SE of mean, lower/upper 95% CI of mean var:The variance sum:The sum skew:The skewness kurt:The kurtosis cv:The coefficient of variation ss:The uncorrected sum of squares css:The corrected sum of squares mode:mode
Basic Tests	test	Input TreeNode	<unassigned>	Specify whether to carry out t-test or z-test or none, and also specify the test conditions. Available sub tree nodes are: mtest: Specify whether to carry out mean test. 0: No, 1: t-test, 2: z-test. mtest.mean:The hypothetical mean to be tested. mtest.tail:The alternate hypothesis. 0: Mean <>Test Mean, 1: Mean >Test Mean, 2: Mean <Test Mean mtest.std: Specify the standard deviation value, which will be used in the z-test. (.mtest = 2) mtest.cim: Specify whether to compute the confidence interval for the mean. mtest.cim.level: Specify the confidence interval levels in percentage values. e.g. 95 means 95% confidence level. stest: Specify whether to carry out Chi-Square Test for Variance. stest.var: Specify the hypothetical variance to be tested. stest.tail: Specify the alternate hypothesis. 0: Variance <> $\boldsymbol{\sigma}_0$ , 1: Variance > $\boldsymbol{\sigma}_0$ , 2: Variance < $\boldsymbol{\sigma}_0$ . stest.cis: Specify whether to compute the confidence intervals for sample variance. stest.cis.level: Specify the confidence interval levels in percentage values. e.g. 95 means 95% confidence level.
Distribution Type	type	Input int	0	Specify whether continuous distribution or discrete distribution to be performed. Option list: 0:Continuous Distribution 1:Discrete Distribution
Distributions	dist	Input TreeNode	<unassigned>	Select one or multiple distribution to be fit for the input data. See the Origin Help page for different distributions. Each sub node refers to a distribution, available sub nodes include: For continuous distribution: norm:Normal logn:LogNormal wb:Weibull exp:Exponential gamma:Gamma For discrete distribution: bino:Binomial poi:Poisson
Sample Size	sample	Input string	"10"	Only available when Binomial distribution is used (dist.bino = 1), to specify the sample size for this distribution.
Plots	plot	Input TreeNode	<unassigned>	Specify whether to output certain type of plots in the report sheet. Each sub node refers to a plot type, available sub nodes are: box: Box Chart hist: Histogram cdf: Cumulative Distribution Function Plot pp: Probability Plot (only available for continuous distribution) pp.sig: The significance level of probability plot. plotinone: Specify whether to arrange plots from multiple data ranges in one graph, which helps to compare the multiple data range. Please note that in the graph histogram will be stacked and with same bin size.
Kolmogorov-Smirnov	ks	Input int	0	Specify whether to perform the Komogorov-Smirnov test.
Kolmogorov-Smirnov (Modified)	ksmod	Input int	0	Specify whether to perform the Modified Komogorov-Smirnov test.
Anderson-Darling	ad	Input int	0	Specify whether to perform the Modified Anderson-Darling test.
Distribution Fit Report	rt	Output ReportTree	<new>	Specify the worksheet to output the distribution fit results.
Plot Data	plotdata	Output ReportData	<optional>	Specify a worksheet to output the plotted data (Origin generates tabular data when plots are created).