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.

  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

Hand-book on STATISTICAL DISTRIBUTIONS for …

Internal Report SUF–PFY/96–01 Stockholm, 11 December 1996 1st revision, 31 October 1998 last modification 10 September 2007 Hand-book on STATISTICAL

Guidelines for the Preparation of Figures

Updated 1 September 2016 . Image Size Small: Used for small line art and images that will occupy one-quarter of the page. 80 mm canvas size or Pixel

Chapter 11: Chi-Square and ANOVA Tests

Chapter 11: Chi-Squared Tests and ANOVA 394 The null hypothesis is that the variables are independent. Using the multiplication rule for independent events you can calculate the probability of being one value of the first variable, A, and one value of the second variable, B (the probability of a particular cell P(A and B)). Remember in a ...

  Squared, Chi squared

NON METRIC MULTIDIMENSIONAL SCALING MDS

lation in PCA or the implied chi-squared measure in detrended correspondence analysis. MDS does suffer from two principal drawbacks, although these are becoming less important as computational power increases. First, MDS is slow, particularly for large data sets and the reasons for this will become apparent under Computation below.

  Squared, Metrics, Scaling, Multidimensional, Chi squared, Non metric multidimensional scaling mds

CHAPTER 3 COMMONLY USED STATISTICAL TERMS

Chi-square ( ²): A nonparametric test of statistical signifi-cance appropriate when the data are in the form of fre-quency counts; it compares frequencies actually observed in a study with expected frequencies to see if they are significantly different. *NPT Cochran’s Q: Used to evaluate the relation between two