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

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

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

Using stargazer to report regression output and ...

Using stargazer to report regression output and descriptive statistics in R (for non-LaTeX users) (v1.0 draft) ... This presentation will show some of the options stargazer offers, the contents are based on ... which allows a quick view of results •Output as html, which produce editable tables for Word documents. OTR 2 .

  Report, Statistics, Descriptive, Presentation, Output, Regression, Results, Report regression output and descriptive statistics

Presentation of Regression Results Regression Tables

ECON 200A: Advanced Macroeconomic Theory Presentation of Regression Results Prof. Van Gaasbeck An example of what the regression table “should” look like. Note that it should be made clear in the text what the variables are and how each is measured. Table #1: Regression Results for Student 1991 Math Scores (standard deviations from the mean)

  Presentation, Regression, Results, Presentation of regression results, Regression results, Presentation of regression results regression

Stata: Visualizing Regression Models Using coefplot

‐regression results are often presented in tables ‐however, displaying results graphically can be much more effective: easier to see and remember patterns and trends OUTCOME diabetes SAMPLE Rural Non‐Rural female 1.185 0.993 (0.185) (0.121)

  Regression, Results, Regression results

Using Logistic Regression: A Case Study

of the research: logistic regression, multicollinearity, dichotomous, etc. If appropriate, point out the difference in language when the results are described: relationship versus causation Mention that the full report that describes all of the methodology and limitations is available, but share the results in summary/visual form

  Regression, Results

Lecture 3: Multiple Regression - Columbia University

U9611 Spring 2005 2 Outline Basics of Multiple Regression Dummy Variables Interactive terms Curvilinear models Review Strategies for Data Analysis Demonstrate the importance of inspecting, checking and verifying your data before accepting the results of

  Lecture, University, Multiple, Columbia university, Columbia, Regression, Results, Lecture 3, Multiple regression

A Practical Guide to Regression Discontinuity - MDRC

Regression discontinuity (RD) analysis is a rigorous nonexperimental1 approach that can be used to estimate program impacts in situations in which candidates are selected for treatment based on whether their value for a numeric rating exceeds a designated threshold or cut-point.

  Regression

Bayesian Statistics (a very brief introduction)

For parameters in ‘1st year’ regression models, this idea works okay { it’s more generally known as ‘Objective Bayes’ For many other situations, it doesn’t, so use it carefully. (And also recall that prior elicitation is a useful exercise) 31

  Introduction, Statistics, Brief, Regression, Very, Bayesian, Bayesian statistics, A very brief introduction