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	Provedor de dados Horticultura Brasileira (1) PAB (1) Autor Arnhold,Emmanuel (1) Lúcio,Alessandro Dal’Col (1) Sari,Bruno Giacomini (1) Palavra-chave Experimental designs (2) Agricultural experimentation (1) Analysis of variance (1) Applied statistics (1) Data analysis (1) Equality of parameters (1) Experimental error (1) Experimental precision (1) Horticulture. (1) Lack of fit (1) Mixed models (1) Model identity (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2018 (1) 2017 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Planning and implementing experiments and analyzing experimental data in vegetable crops: problems and solutions Horticultura Brasileira Lúcio,Alessandro Dal’Col; Sari,Bruno Giacomini. ABSTRACT The statistical interpretation of experimental results is inherent to the research process. Therefore, every researcher is expected to have basic understanding on the subject. In vegetable crops, the planning, implementing and data gathering is more complex due to specific aspects related to this group of plants, such as intensive management and high labor requirement to carry out the experiments, uneven fruit maturation and heterogeneity of the experimental area. Since all these factors are sources of variability within the experiment, circumventing them in the experiment planning and implementing phases is fundamental to reduce the experimental error. Furthermore, the knowledge of statistical tests and the assumptions for their use is equally... Tipo: Info:eu-repo/semantics/article Palavras-chave: Agricultural experimentation; Experimental precision; Experimental error; Experimental designs; Applied statistics; Analysis of variance; Horticulture.. Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362017000300316 R-environment package for regression analysis PAB Arnhold,Emmanuel. Abstract: The objective of this work was to develop a package in the R environment for automating and facilitating the regression analysis. Named easyreg, the package offers five functions. The er1 function performs analyses in 13 models, including linear, nonlinear, and mixed models. The er2 function considers the lack of fit in the analyses and in the following designs: completely randomized, randomized complete block, Latin squares, and repeated Latin squares. The regplot function generates graphics; the bl function estimates two-segment models; and the regtest function tests the equality of parameters and the identity of the models. These functions allow of a great number of analyses and confer practicality and versatility to the regression analysis. Tipo: Info:eu-repo/semantics/article Palavras-chave: Data analysis; Equality of parameters; Experimental designs; Lack of fit; Mixed models; Model identity. Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000700870 Registros recuperados: 2 Primeira ... 1 ... Última

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