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Speaking Stata: How to repeat yourself without going mad AgEcon
Cox, Nicholas J..
This column will focus on how to improve your fluency in Stata. Over the next issues we will look at Stata problems of intermediate size which turn out to be soluble with a few command lines. As an introduction, systematic ways of repeating the same or similar operations are surveyed to give one overview of the territory to be covered.
Tipo: Journal Article Palavras-chave: Append; By; Collapse; Contract; Do-files; Egen; For; Foreach; Forvalues; Log files; Merge; Naming conventions; Programs; Repetition; Reshape; Statsby; Subset or group structure; Tabulations; Research Methods/ Statistical Methods.
Ano: 2001 URL: http://purl.umn.edu/115938
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Speaking Stata: On structure and shape: the case of multiple responses AgEcon
Cox, Nicholas J.; Kohler, Ulrich.
A frequent problem in data management is that datasets may not arrive in the best structure for many analyses, so that it may be necessary to restructure the data in some way. The particular case of multiple response data is discussed at length, with special attention to different possible structures; the generation of new variables holding the data in different form; valuable inbuilt string and egen functions; using foreach and forvalues to loop over lists; and the use of the reshape command. Tabulations and graphics for such data are also reviewed briefly.
Tipo: Journal Article Palavras-chave: Composite variables; Concatenation; Egen; Foreach; Forvalues; Graphics; Indicator variables; Multiple responses; Reshape; Split; String functions; Tabulations; Research Methods/ Statistical Methods.
Ano: 2003 URL: http://purl.umn.edu/116035
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Confidence intervals and p-values for delivery to the end user AgEcon
Newson, Roger.
Statisticians make their living producing confidence intervals and pvalues. However, those in the Stata log are not ready for delivery to the end user, who usually wants to see statistical output either as a plot or as a table. This article describes a suite of programs used to convert Stata results to one or other of these forms. The eclplot package creates plots of estimates with confidence intervals, and the listtex package outputs a Stata dataset in the form of table rows that can be inserted into a plain TeX, LaTeX, HTML, or word processor table. To create a Stata dataset that can be output in these ways, we can use the parmest, dsconcat, and lincomest packages to create datasets with one observation per estimated parameter; the sencode, tostring,...
Tipo: Journal Article Palavras-chave: Confidence interval; P-value; Plot; Table; Estimation results; TeX; LaTeX; HTML; Word processor; Presentation; Eclplot; Listtex; Parmest; Dsconcat; Lincomest; Sencode; Tostring; Ingap; Reshape; Descsave; Factext; Research Methods/ Statistical Methods.
Ano: 2003 URL: http://purl.umn.edu/116091
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