summary

0th

Percentile

Summary gexp objects.

Summary gexp objects.

Usage
# S3 method for gexp
summary(object,
     digits=3L, …)
Arguments
object

A gexp.crd, gexp.rcbd, gexp.lsd, gexp.fe or gexp.spe object.

digits

Number of decimal digits in the results.The default is 3.

Further arguments (required by generic).

Aliases
  • summary.gexp
Examples
# NOT RUN {
#! Completely Randomized Design (CRD)
#! 1 factor - CRD
crd <- gexp(mu=1,
            r=3,
            fe=list(f1=c(1, 1, 5, 1, 1)),
            fl=list(Treat=LETTERS[1:5]),
            round=2)
summary(crd)

#! Factorial Experiment (FE) - CRD
# 5 factors (f1..f5, level^factor): 3^1 * 2^1 * 3^1 * 2^1 * 4^1 * 2 = 360 experimental units
# 5 factors (f1..f5, level^factor): 3^2 * 2^2 * 5^1 = 180 * 2 = 360 experimental units
crd_fe <- gexp(mu=0,
               r=2,
               fe=list(f1=c(1, 1, 5),
                       f2=c(1, 1),
                       f3=c(2, 2, 1),
                       f4=c(1, 5),
                       f5=c(1, 2, 3, 4, 5)),
               fl=list(A=paste('a',
                               1:3,
                               sep=''),
                       B=paste('b',
                               1:2,
                               sep=''),
                       C=paste('c',
                               1:3,
                               sep=''),
                       D=paste('d',
                               1:2,
                               sep=''),
                       E=paste('e',
                               1:5,
                               sep='')),
               inte = rep(1,848),
               type = 'FE',
               round=0)
summary(crd_fe)

#! Split-plot Experiment (SPE) - CRD
split_crd <- gexp(mu=30,
                  fe=list(f1=c(1, 1),
                          f2=c(2, 3)),
                  fl=list(P=paste('p',
                                  1:2,
                                  sep=''),
                          SP=paste('sp',
                                   1:2,
                                   sep='')),
                  inte=c(1, 15, 1, 1),
                  round=1,
                  type='SPE')
summary(split_crd)

#! Randomized Complete Block Design (RCBD)
# 1 factor, 3 blocks
rcbd <- gexp(mu=0,
             fe=list(f1=c(5, 1, 1)),
             fl=list(TR=LETTERS[1:3]),
             blke=c(1, 2, 3),
             blkl=list(BLK=paste('B',
                                 1:3,
                                 sep='')),
             round=1,
             type='RCBD')
summary(rcbd)

#! Factorial Experiment (FE) - RCBD
fe_rcbd <- gexp(mu=30,
                fe=list(f1=c(1, 1, 1),
                        f2=c(2, 3)),
                blke=c(1, 3),
                inte=c(1, 15, 1, 1, 5, 1),
                round=1,
                type='FE')
summary(fe_rcbd)

#! Split-plot Experiment (SPE) - RCBD
split_rcbd <- gexp(mu=30,
                   fe=list(f1=c(1, 1),
                           f2=c(2, 3),
                           f3=c(1, 1, 1)),
                   fl=list(A=paste('a',
                                   1:2,
                                   sep=''),
                           B=paste('b',
                                   1:2,
                                   sep=''),
                           C=paste('c',
                                   1:3,
                                   sep='')),
                   blke=c(1, 2),
                   blkl=list(BLK=paste('B',
                                       1:2,
                                       sep='')),
                   inte=c(1, 15, 1, 1, 1, 3, 4, 2, 1, 1, 4, 1,
                          1, 2, 1, 1,
                          1, 1, 1, 1, 1, 1,
                          1, 1, 3, 3, 3, 3),
                   round=1,
                   type='SPE')
summary(split_rcbd)

#! Latin Square Design (LSD)
lsd <- gexp(mu=30,
            fe=list(f1=c(1, 1, 10)),
            rowe=c(1, 1, 1),
            cole=c(1, 1, 1),
            rowl=list(Row=paste('r',
                                1:3,
                                sep='')),
            coll=list(Col=paste('c',
                                1:3,
                                sep='')),
            round=1,
            type='LSD')
summary(lsd)

#! Factorial Experiment (FE) - LSD
fe_lsd <- gexp(mu=30,
               fe=list(f1=c(1, 1),
                       f2=c(2, 3)),
               rowe=c(1, 3, 2, 1),
               cole=c(2, 2, 1, 1),
               rowl=list(Row=paste('r',
                                   1:4,
                                   sep='')),
               coll=list(Col=paste('c',
                                   1:4,
                                   sep='')),
               inte=c(1, 15, 1, 1),
               round=1,
               type='FE')
summary(fe_lsd)

#! Split-plot Experiment (SPE) - LSD
split_lsd <- gexp(mu=30,
                  fe=list(f1=c(1, 1, 2),
                          f2=c(2, 3, 1)),
                  fl=list(P=paste('p',
                                  1:3,
                                  sep=''),
                          SP=paste('sp',
                                   1:3,
                                   sep='')),
                  inte=c(1, 15, 1, 1, 1, 1, 1, 1, 1),
                  rowe = c(1, 1, 1),
                  cole = c(1, 1, 1),
                  rowl=list(Row=paste('r',
                                      1:3,
                                      sep='')),
                  coll=list(Col=paste('c',
                                      1:3,
                                      sep='')),
                  round=1,
                  type='SPE')
summary(split_lsd)
# }
Documentation reproduced from package gexp, version 0.1-4, License: GPL (>= 2)

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