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.

  Descriptions, Stata, Syntax, Syntax description

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

  Change, Content, Variable, Create, Stata, Generate, Generate create or change, Generate create or change contents of variable

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)

  Title, Stata, Title stata

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 …

  Title, Variable, Stata, Numeric, String, Convert, Title stata, Destring convert string variables to numeric, Destring

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

  Title, Stata, Title stata

SEVENTH EDITION Using Multivariate Statistics

Analyses 7 1.3 Linear Combinations of Variables 9 1.4 Number and Nature of Variables to Include 10 1.5 Statistical Power 10 1.6 Data Appropriate for Multivariate Statistics 11 1.6.1 The Data Matrix 11 1.6.2 The Correlation Matrix 12 1.6.3 The Variance–Covariance Matrix 12 1.6.4 The Sum-of-Squares and Cross-Products Matrix 13

  Analyses, Multivariate

University of Toronto

distribution. The multivariate change of variable is developed in an Advanced section. Chapter 3 introduces expectation. The probability-generating function is dis-cussed, as are the moments and the moment-generating function of a random variable. This chapter develops some of the major inequalities used in probability. A section on

  Multivariate

Statistical Power Analysis for the Behavioral Sciences

Chapter 10. Set Correlation and Multivariate Methods 10.1. Introduction and Use 10.2. The Effect Size Index: f2 10.3. Determining the Power 10.4. Determining Sample Size Chapter 11. Some Issues in Power Analysis 11.1. Introduction 11.2. Effect Size 11.3. Reliability 11.4. "Qualifying" Dependent Variables Chapter 12. Computational Procedures ix ...

  Analysis, Introduction, Power, Sciences, Statistical, Behavioral, Multivariate, Statistical power analysis for the behavioral sciences

Characteristics and Influential Factors of Food Deserts

2000. Separate analyses are performed for urban areas and rural areas in order to accommodate different definitions of food deserts and systematic differences in tract characteristics between rural and urban areas. We also further distinguish very dense urban areas from less dense urban areas for the multivariate analysis.

  Analyses, Multivariate

National Vital Statistics Reports

Introduction. This report presents infant mortality statistics based on ... risk factors is multivariate analysis; however, an understanding of the basic relationships between risk factors and infant mortality is the first step before more sophisticated types of analyses and

  Introduction, Analyses, Multivariate

Appendix 1 to the guideline on the evaluation of ...

sensitivity analyses assuming that censored subject are at high -risk or low-risk of an event. Primary and sensitivity analyses. For the purpose of the primary analysis, the date of progression should be assigned based on the documented time of progression and not, for example, based on scheduled time of evaluation.

  Analyses