Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados AgEcon (2) Autor Cox, Nicholas J. (2) Kohler, Ulrich (1) Palavra-chave Research Methods/ Statistical Methods (2) String functions (2) Binary variables (1) Categorical variables (1) Composite variables (1) Concatenation (1) Data Editor (1) Dates (1) Decode (1) Destring (1) Egen (1) Encode (1) Foreach (1) Forvalues (1) Graphics (1) Identifiers (1) Indicator variables (1) Missing values (1) Multiple responses (1) Numeric variables (1) Mais... Tipo do documento Journal Article (2) Ano 2003 (1) 2002 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 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 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: 2 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