rbd function

Randomized Blocks Design

rbd Analyses experiments in balanced Randomized Blocks Designs under one single factor, considering a fixed model.

rbd(
  treat,
  block,
  resp,
  quali = TRUE,
  mcomp = "tukey",
  nl = FALSE,
  hvar = "oneillmathews",
  sigT = 0.05,
  sigF = 0.05,
  unfold = NULL
)

Arguments

• treat: Numeric or complex vector containing the treatments.
• block: Numeric or complex vector containing the blocks.
• resp: Numeric or complex vector containing the response variable.
• quali: Logic. If TRUE (default), the treatments are assumed qualitative, if FALSE, quantitatives.
• mcomp: Allows choosing the multiple comparison test; the default is the test of Tukey, however, the options are: the LSD test ('lsd'), the LSD test with Bonferroni protection ('lsdb'), the test of Duncan ('duncan'), the test of Student-Newman-Keuls ('snk'), the test of Scott-Knot ('sk'), the Calinski and Corsten test ('ccF') and bootstrap multiple comparison's test ('ccboot').
• nl: Logic. If FALSE (default) linear regression models are adjusted. IF TRUE, non-linear regression models are adjusted.
• hvar: Allows choosing the test for homogeneity of variances; the default is the test of ONeill and Mathews ('oneillmathews'), however there are other options: test of Han ('han'), and the test of Anscombe and Tukey ('anscombetukey').
• sigT: The signficance to be used for the multiple comparison test; the default is 5%.
• sigF: The signficance to be used for the F test of ANOVA; the default is 5%.
• unfold: Says what must be done after the ANOVA. If NULL (default), recommended tests are performed; if '0', just ANOVA is performed; if '1', the simple effects are tested.

Returns

The output contains the ANOVA of the RBD, the Shapiro-Wilk normality test for the residuals of the model, the fitted regression models (when the treatments are quantitative) and/or the multiple comparison tests (when the treatments are qualitative).

Details

The arguments sigT and mcomp will be used only when the treatment are qualitative.

Note

The graphics can be used to construct regression plots and plotres for residuals plots.

Examples

data(ex2)
attach(ex2)
rbd(trat, provador, aparencia, quali = TRUE, mcomp = "lsd",
hvar = "oneillmathews", sigT = 0.05, sigF = 0.05,
unfold=NULL)

References

BANZATTO, D. A.; KRONKA, S. N. Experimentacao Agricola. 4 ed. Jaboticabal: Funep. 2006. 237 p.

FERREIRA, E. B.; CAVALCANTI, P. P.; NOGUEIRA D. A. Funcao em codigo R para analisar experimentos em DBC simples, em uma so rodada. In: JORNADA CIENTIFICA DA UNIVERSIDADE FEDERAL DE ALFENAS-MG, 2., 2009, Alfenas. Annals... ALfenas: Unifal-MG, 2009.

See Also

fat2.rbd, fat3.rbd, split2.rbd, strip, fat2.ad.rbd and fat3.ad.rbd.

Author(s)

Eric B Ferreira, eric.ferreira@unifal-mg.edu.br

Denismar Alves Nogueira

Portya Piscitelli Cavalcanti