crd_simulated

Perform analysis of variance when the experimental units are spatially correlated. There are two methods to deal with spatial dependence: Spatial autoregressive models (see Rossoni, D. F., & Lima, R. R. (2019) <doi:10.28951/rbb.v37i2.388>) and geostatistics (see Pontes, J. M., & Oliveira, M. S. D. (2004) <doi:10.1590/S1413-70542004000100018>). For both methods, there are three multicomparison procedure available: Tukey, multivariate T, and Scott-Knott.

Castro L. R.

spANOVA

Analysis of Field Trials with Geostatistics & Spatial AR Models

Renato R. R.

Rossoni D. F.

Nogueira C.H.

crd_simulated function

<p>Lucas Castro <a href="/link/lrcastro%40estudante.ufla.br?package=spANOVA&version=0.99.4" data-mini-rdoc="spANOVA::lrcastro@estudante.ufla.br">lrcastro@estudante.ufla.br</a></p>

Author

Simulated data set for CRD — crd_simulated

<p>Lucas Castro <a href='mailto:lrcastro@estudante.ufla.br'>lrcastro@estudante.ufla.br</a></p>

crd_simulated: Simulated data set for CRD

Description

Arguments

Author

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