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

A.1 SAS EXAMPLES - University of Florida

(\poi" for Poisson, \bin" for binomial, \mult" for multinomial, \negbin" for negative binomial) and speci es the link function in the LINK option. For binomial models with grouped data, the response in the model statements takes the form of the number of \successes" divided by the number of cases. Table 6 illustrates for the snoring data

  Data, Multinomial

Analysis of Epidemiological Data using R and Epicalc

Data analysis is very important in epidemiological research. The capacity of computing facilities has been steadily increasing, moving state of the art ... R has several advanced regression modelling functions such as multinomial logistic regression, ordinal logistic regression, survival analysis and multi-level modelling.

  Data, Multinomial

Logit, Probit and Multinomial Logit models in R

logit <- glm(y_bin ~ x1+x2+x3+opinion, family=binomial(link="logit"), data=mydata) To estimate the predicted probabilities, we need to set the initial conditions. Getting predicted probabilities holding all predictors or

  Data, Multinomial

Chapter 8 The exponential family: Basics

additional data types, including counts, time intervals and rates. We introduce the expo-nential family of distributions, a family that includes the Gaussian, binomial, multinomial, Poisson, gamma, von Mises and beta distributions, as well as many others. In this chapter

  Data, Opex, Exponential, Multinomial, Expo nential, Nential

CHAPTER 12 EXAMPLES: MONTE CARLO SIMULATION …

Data for continuous dependent variables are generated according to a distribution that is multivariate normal conditional on the ... variables are generated according to the multinomial logistic model using the values of the intercepts and slopes from the MODEL . Examples: Monte Carlo Simulation Studies 469 ...

  Data, Studies, Simulation, Example, Oracl, Monte, Multinomial, Monte carlo simulation, Monte carlo simulation studies

CHAPTER 5 EXAMPLES: CONFIRMATORY FACTOR …

DATA: FILE IS ex5.1.dat; The DATA command is used to provide information about the data set to be analyzed. The FILE option is used to specify the name of the file that contains the data to be analyzed, ex5.1.dat. Because the data set is in free format, the default, a FORMAT statement is not required. VARIABLE: NAMES ARE y1-y6;

  Data, Factors, Example, Confirmatory, 5 example, Confirmatory factor

[MI] Multiple Imputation

This is called completed-data analysis and is the primary analysis to be performed once missing data have been imputed. 3. Pooling step. The results obtained from M completed-data analyses are combined into a single multiple-imputation result. The completed-data analysis step and the pooling step can be combined and thought of generally MI MI MI.

  Data

Quantitative Data Analysis: Choosing Between SPSS, PLS and ...

Quantitative data analysis in social science discipline offers another method of studying the environment around us. It enables the social scientists to measure, analyse and understand the social reality. The main idea of this paper is to offer new and handy information about quantitative data analysis in social science research.

  Data