Software for Multivariate Analysis of Variance for General Block Design
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Date
2010
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IARI, INDIAN AGRICULTURAL STATISTICS RESEARCH INSTITUTE
Abstract
Experiments in which data on several responses are measured from an experimental unit corresponding to the application of a treatment are known as multi-response experiments. There is a tendency to analyze data from these experiments as a single response experiment in the sense that each response variable is analyzed separately as if the responses were independent. The response variables are generally correlated. In analyzing data from each response variable separately, the advantage of the correlation structure is lost. Therefore, to take advantage of correlation structure between several response variables in multi-response experiments, the data must be analyzed using multivariate analysis of variance.
SPAR 2.0 developed at IASRI has been primarily developed for the statistical analysis of experimental research data in genetics and plant breeding. However, many of the programs in this package can be used for analysis of data coming from other disciplines of research provided the data confirms to the method and design used in the program. The experimental setting here assumes that the experiment has been laid as randomized block design. Several experimental situations require the use of incomplete block designs in agricultural research.
Keeping in view this, a web enabled “Software for Multivariate Analysis of Variance for General Block Design” has been developed using ASP.NET and C# language, which is more flexible and user-friendly. There is no restriction on the number of variables and observations. The software provides the facility to upload csv or excel data files. It provides MANOVA under the General Block Design set up. It also provides estimated genotypic and phenotypic variance-covariance matrices, heritability coefficient and genetic correlations under an incomplete block design set up. Several useful links have been provided in the home page of the software to grasp the subject matter. It has been provided with an extensive Help document, regarding statistical concepts involved, how to use the software, example data file, example of input files and output files.
Description
T-8218
Keywords
topping, electrophoresis, physical control, research methods, self help, statistical methods, sets, sampling, selection, fruits