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

Missing-data imputation - Department of Statistics

Indicators Survey, 90% of African Americans but only 81% of whites report their earnings, so the “earnings” summary represents a different population than the “education” summary. Available-case analysis also arises when a researcher simply excludes a variable or set of variables from the analysis because of their missing-data rates ...

  Analysis, Data, Survey, Missing, Imputation, Missing data imputation

Linear Regression Analysis for Survey Data

Linear Regression Analysis for Survey Data Professor Ron Fricker Naval Postgraduate School Monterey, California 1. Goals for this Lecture ... dependent variables – Coding nominal independent variables • Linear regression for complex surveys • Weighting • Regression in JMP 2. Regression in Surveys • Useful for modeling responses to ...

  Analysis, Data, Survey, Regression, Regression analysis, Survey data, Weighting

[TE] Treatment Effects - Stata

In observational data, treatment assignment is not controlled by those who collect the data; thus some common variables affect treatment assignment and treatment-specific outcomes. Observational data is sometimes called retrospective data or nonexperimental data, but to avoid confusion, we will always use the term “observational data”.

  Data

CHOOSING A MIXED METHODS DESIGN - SAGE …

a survey, and the fourth is used to investigate different levels of analysis. The convergence model (Figure 4.1b) represents the traditional model of a mixed methods triangulation design (Creswell, 1999).

  Analysis, Design, Methods, Survey, Sage, Mixed, Choosing, Choosing a mixed methods design

Trends in the Use of Complementary Health Approaches …

the complex survey sample design of NHIS, including stratification, approaches clustering, and unequal weighting. This model tests the parallel-lines assumption by simultaneously testing the equality of separate slope parameters for each variable. The variances of the regression parameters were computed using the

  Survey, Regression, Weighting

Future of Cryptocurrency - The Economist

which data is structured and allows for the existence of decentralized digital ledgers where single organizations are not able to effect transactions (Hackett, 2016). Currently the two most widely

  Data, Economists, The economist

Methods for Constructing and Assessing Propensity Scores

propensity scores with survey-weighted data (DuGoff, Schuler, and Stuart 2014) or with multilevel categorical (Imbens 2000; Huang et al. 2005) or con-tinuous treatments (Jiang and Foster 2013). We use data from the Palliative Care for Cancer Patients (PC4C) study, …

  Data, Survey

Geospatial Analysis 6th Edition, 2018 - de Smith ...

5.2.4 ESDA and mapped point data 264 5.2.5 Trend analysis of continuous data 265 5.2.6 Cluster hunting and scan statistics 265 5.3 Grid-based Statistics and Metrics 267 5.3.1 Overview of grid-based statistics 267 5.3.2 Crosstabulated grid data, the Kappa Index and Cramer’s V statistic 268 5.3.3 Quadrat analysis of grid datasets 271

  Analysis, Data