WebFor every statistical analysis, the data should be organized in columns. For the demonstration, the agricolae database will be used. The sweetpotato data correspond to a completely random experiment in field with plots of 50 sweet potato plants, subjected to the virus effect and to a control without virus (See the reference manual of the package). WebThe probabilities of the comparison can also be obtained. It should only be indicated: group=FALSE, thus: The function `PBIB.test` [ @Josh:1987 ], can be used for the lattice and alpha designs. Consider the following case: Construct the alpha design with 30 treatments, 2 repetitions, and a block size equal to 3.
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WebIntroduction to agricolae; The Not So Short Introduction to agricolae; Descriptive Statistics with agricolae; Experimental Design with agricolae; Multiple Comparisons with agricolae; Non-parametric Comparisons with agricolae; Graphics of the Multiple Comparisons with agricolae; Stability Analysis with agricolae; Special Functions in agricolae ... WebAgricolae offers extensive functionality on experimental design especially for agricultural and plant breeding experiments, which can also be useful for other purposes. It supports planning of lattice, Alpha, Cyclic, Complete Block, Latin Square, Graeco-Latin Squares, augmented block, factorial, split and strip plot designs. uk winged statue on vera tv show
agricolae/design.lattice.Rd at master · cran/agricolae · GitHub
Webagricolae — Statistical Procedures for Agricultural Research - agricolae/LSD.test.R at master · cran/agricolae:exclamation: This is a read-only mirror of the CRAN R package repository. agricolae — Statistical Procedures for Agricultural Research - agricolae/LSD.test.R at master · cran/agricolae ... GitHub community articles … Webagricolae — Statistical Procedures for Agricultural Research - agricolae/design.lattice.Rd at master · cran/agricolae :exclamation: This is a read-only mirror of the CRAN R package repository. WebThe functions for non-parametric multiple comparisons included in **agricolae** are: `kruskal`, `waerden.test`, `friedman` and `durbin.test` [@ Cono:1999]. The post hoc nonparametrics tests (kruskal, friedman, durbin and waerden) are using the criterium Fisher's least significant difference (LSD). uk wine writers