rbd {ExpDes}

Randomized Blocks Design

Description

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

Usage

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.

Details

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

Value

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).

Note

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

Author(s)

Eric B Ferreira, [e-mail]

Denismar Alves Nogueira

Portya Piscitelli Cavalcanti

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.

Examples

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