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	Provedor de dados AgEcon (6) Autor Kohler, Ulrich (6) Brzinsky-Fay, Christian (2) Luniak, Magdalena (2) Cox, Nicholas J. (1) Palavra-chave Research Methods/ Statistical Methods (6) Graphics (2) Biplots (1) Cluster analysis (1) Composite variables (1) Concatenation (1) Egen (1) Explorative data analysis (1) Foreach (1) Forvalues (1) Indicator variables (1) Longitudinal data (1) Multiple responses (1) Optimal matching (1) Panel data (1) Reshape (1) Sequence analysis (1) Sequence index plot (1) Split (1) Sqclusterdat (1) Mais... Tipo do documento Journal Article (6) Ano 2006 (1) 2005 (3) 2004 (1) 2003 (1) País United States (6) Idioma Inglês (6)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 6 Primeira ... 1 ... Última Sequence analysis with Stata AgEcon Brzinsky-Fay, Christian; Kohler, Ulrich; Luniak, Magdalena. We describe a general strategy to analyze sequence data and introduce SQ-Ados, a bundle of Stata programs implementing the proposed strategy. The programs include several tools for describing and visualizing sequences as well as a Mata library to perform optimal matching using the Needleman–Wunsch algorithm. With these programs Stata becomes the first statistical package to offer a complete set of tools for sequence analysis. Tipo: Journal Article Palavras-chave: Sqclusterdat; Sqclustermat; Sqdes; Sqindexplot; Sqom; Sqparcoord; Sqset; Sqstatlist; Sqstatsum; Sqstattab1; Sqstattab2; Sqstattabsum; Sqtab; Sequence analysis; Optimal matching; Cluster analysis; Panel data; Longitudinal data; Explorative data analysis; Sequence index plot; Research Methods/ Statistical Methods. Ano: 2006 URL: http://purl.umn.edu/118169 Stata tip 25: Sequence index plots AgEcon Kohler, Ulrich; Brzinsky-Fay, Christian. Tipo: Journal Article Palavras-chave: Research Methods/ Statistical Methods. Ano: 2005 URL: http://purl.umn.edu/117550 Review of A Visual Guide to Stata Graphics by Mitchell AgEcon Kohler, Ulrich. This article reviews A Visual Guide to Stata Graphics by Mitchell. Tipo: Journal Article Palavras-chave: Graphics; Stata; Research Methods/ Statistical Methods. Ano: 2004 URL: http://purl.umn.edu/116276 Data inspection using biplots AgEcon Kohler, Ulrich; Luniak, Magdalena. Biplots display interunit distances, as well as variances and correlations of variables of large datasets. They can be used as a tool to reveal clustering, multicollinearity, and multivariate outliers, and to guide the interpretation of principal component analyses (PCA). This article describes the uses of biplots and its implementation in Stata. Tipo: Journal Article Palavras-chave: Biplots; Research Methods/ Statistical Methods. Ano: 2005 URL: http://purl.umn.edu/117513 Stata tip 16: Using input to generate variables AgEcon Kohler, Ulrich. Tipo: Journal Article Palavras-chave: Research Methods/ Statistical Methods. Ano: 2005 URL: http://purl.umn.edu/117505 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 Registros recuperados: 6 Primeira ... 1 ... Última

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