Syntax - Stata

Syntax - Stata

2cluster kmeans and kmedians— Kmeans and kmedians cluster analysis Options Main k(#) is required and indicates that # groups are to be formed by the cluster analysis.

  Syntax

Syntax Description - Stata

2substr()— Extract substring Diagnostics In substr(s, b, l) and substr(s, b), if b describes a position before the beginning of the string or after the end, "" is returned.

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Title stata.com generate — Create or change …

Title stata.com generate — Create or change contents of variable SyntaxMenuDescriptionOptions Remarks and examplesMethods and formulasReferencesAlso see Syntax Create new variable generate type newvar

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SyntaxDescriptionRemarks and examplesAlso see

macro— Macro definition and manipulation 3 Macro extended functions related to matrices rownamesjcolnamesjrowfullnamesjcolfullnames matname roweqjcoleq

  Syntaxdescriptionremarks and examplesalso see, Syntaxdescriptionremarks, Examplesalso

Title stata.com graph box — Box plots

graph box— Box plots 3 Menu Graphics > Box plot Syntax graph box yvars if in weight, options graph hbox yvars if in weight, options where yvars is a varlist options Description

  Plot, Box plot

Title stata

area options — Options for specifying the look of special areas 3 Also see [G-2] graph dot — Dot charts (summary statistics)

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www.stata.com

2cluster dendrogram— Dendrograms for hierarchical cluster analysis The height of the vertical lines and the range of the (dis)similarity axis give visual clues about the

Title stata.com putexcel — Export results to an Excel …

putexcel— Export results to an Excel file 3 export options Description Main overwritefmt overwrite existing cell formatting when exporting new content

  Putexcel

destring — Convert string variables to numeric ... - …

Title stata.com destring — Convert string variables to numeric variables and vice versa SyntaxMenuDescription Options for destringOptions for tostringRemarks and …

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Title stata.com gettoken — Low-level parsing

Title stata.com gettoken — Low-level parsing SyntaxDescriptionOptionsRemarks and examplesAlso see Syntax gettoken emname1 emname2: emname3, parse("pchars") quotes qed(lmacname) match(lmacname) bind

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The Friedman Test - Welcome to oak.ucc.nau.edu

The Friedman test is an extension of the Wilcoxon test. The Wilcoxon test can be applied to repeated-measures data if participants are assessed on two occasions or conditions or matched-subjects data if participants are matched in pairs. In contrast, the Friedman test allows for the

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14.1 The Wilcoxon Rank Sum Test - University of Florida

14.1 The Wilcoxon Rank Sum Test 1 2 12 1 12 5 This test was invented by Frank Wilcoxon (1892–1965) in 1945. Wilcoxon was a chemist who met statistical problems in his work at the research laboratories of American Cyanimid Company. The Wilcoxon rank sum test The Wilcoxon Rank Sum Test

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Wilcoxon Signed-Rank Tests - Statistical Software

Power Calculation for the Wilcoxon Signed-Rank Test The power calculation for the Wilcoxon signed-rank test is the same as that for the one-sample t-test except that an adjustment is made to the sample size based on an assumed data distribution as described in Al-Sunduqchi and Guenther (1990).

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The NPAR1WAY Procedure - SAS

The WILCOXON option produces the output inFigure 83.2. PROC NPAR1WAY first provides a summary of the Wilcoxon scores for the analysis variable Gain by class level. For each level of the CLASS variable Dose, PROC NPAR1WAY displays the following information: number of observations, sum of the Wilcoxon

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Lecture 7: Hypothesis Testing and ANOVA

Fisher’s Exact Test Wilcoxon-Mann-Whitney Test Two sample t-test Compare two unpaired groups Paired t-test Wilcoxon Test McNemar’s Test Compare two paired groups ... • Kruskal-Wallis Rank Sum Test: non-parametric analog to ANOVA • In R, kruskal.test() Title: Lecture6_HypothesisTesting_ANOVA.ppt

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The Wilcoxon Rank-Sum Test - Auckland

The Wilcoxon Rank-Sum Test The Wilcoxon rank-sum test is a nonparametric alternative to the two-sample t-test which is based solely on the order in which the observations from the two samples fall. We will use the following as a running example. Example 1 In a genetic inheritance study discussed by Margolin [1988],

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Title stata.com ranksum — Equality tests on unmatched data

For the Wilcoxon rank-sum test, there are two independent random variables, X 1 and X 2, and we test the null hypothesis that X 1 ˘X 2. We have a sample of size n 1 from X 1 and another of size n 2 from X 2. The data are then ranked without regard to the sample to which they belong. If the data are tied,

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Statistics: 2.2 The Wilcoxon signed rank sum test

The Wilcoxon signed rank sum test is another example of a non-parametric or distribution free test (see 2.1 The Sign Test). As for the sign test, the Wilcoxon signed rank sum test is used is used to test the null hypothesis that the median of a distribution is equal to some value. It can be used a) in place of a one-sample t-test b) in place of ...

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