Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados AgEcon (3) Autor Weesie, Jeroen (2) Cox, Nicholas J. (1) Palavra-chave Research Methods/ Statistical Methods (3) Value labels (3) Data integrity (2) Multilingual datasets (2) Binary variables (1) Categorical variables (1) Data Editor (1) Dates (1) Decode (1) Destring (1) Encode (1) Identifiers (1) Labeldup (1) Labelrename (1) Missing values (1) Mlanguage (1) Numeric variables (1) Spreadsheets (1) String functions (1) String variables (1) Mais... Tipo do documento Journal Article (3) Ano 2005 (2) 2002 (1) País United States (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última Speaking Stata: On numbers and strings AgEcon Cox, Nicholas J.. The great divide among data types in Stata is between numeric and string variables. Most of the time, which kind you want to use for particular variables is clear and unproblematic, but surprisingly often, users face difficulties in making the right decision or need to convert variables from one kind to another. The main problems that may arise and their possible solutions are surveyed with reference both to official Stata and to user-written programs. Tipo: Journal Article Palavras-chave: Binary variables; Categorical variables; Data Editor; Dates; Decode; Destring; Encode; Identifiers; Missing values; Numeric variables; Spreadsheets; String functions; String variables; Tostring; Value labels; Research Methods/ Statistical Methods. Ano: 2002 URL: http://purl.umn.edu/116018 Multilingual datasets AgEcon Weesie, Jeroen. This insert describes a new command mlanguage that facilitates the creation and maintenance of “comprehensive” multilingual datasets. These are datasets with many variables, many of which are value labeled, with labels in different languages, all contained within the dataset. The tools make it easy to add labels in a new language by translating an existing set of labels, to switch between the sets of labels, to verify the integrity of such labels, and to assist in keeping the labels complete. Tipo: Journal Article Palavras-chave: Mlanguage; Multilingual datasets; Data integrity; Value labels; Research Methods/ Statistical Methods. Ano: 2005 URL: http://purl.umn.edu/117510 Value label utilities: labeldup and labelrename AgEcon Weesie, Jeroen. I describe two utilities dealing with value labels. labeldup reports and optionally removes duplicate value labels. labelrename renames a value label. Both utilities, of course, preserve the links between variables and value labels and support multilingual datasets. Tipo: Journal Article Palavras-chave: Labeldup; Labelrename; Value labels; Data integrity; Multilingual datasets; Research Methods/ Statistical Methods. Ano: 2005 URL: http://purl.umn.edu/117509 Registros recuperados: 3 Primeira ... 1 ... Última

Empresa Brasileira de Pesquisa Agropecuária - Embrapa Todos os direitos reservados, conforme Lei n° 9.610 Política de Privacidade Área restrita		Embrapa Parque Estação Biológica - PqEB s/n° Brasília, DF - Brasil - CEP 70770-901 Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco