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ExpDes (version 1.2.2)

Experimental Designs Package

Description

Package for analysis of simple experimental designs (CRD, RBD and LSD), experiments in double factorial schemes (in CRD and RBD), experiments in a split plot in time schemes (in CRD and RBD), experiments in double factorial schemes with an additional treatment (in CRD and RBD), experiments in triple factorial scheme (in CRD and RBD) and experiments in triple factorial schemes with an additional treatment (in CRD and RBD), performing the analysis of variance and means comparison by fitting regression models until the third power (quantitative treatments) or by a multiple comparison test, Tukey test, test of Student-Newman-Keuls (SNK), Scott-Knott, Duncan test, t test (LSD) and Bonferroni t test (protected LSD) - for qualitative treatments; residual analysis (Ferreira, Cavalcanti and Nogueira, 2014) .

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Version

Install

install.packages('ExpDes')

Monthly Downloads

683

Version

1.2.2

License

GPL (>= 2)

Maintainer

Eric Batista Ferreira

Last Published

October 5th, 2021

Functions in ExpDes (1.2.2)

anscombetukey

Test for homogeneity of variances of Anscombe and Tukey
ccF

Multiple comparison: Calinski and Corsten
ex1

Yacon: CRD
ccboot

Multiple comparison: Bootstrap
duncan

Multiple comparison: Duncan test
bartlett

Test for Homogeneity of Variances: Bartlett
est21Ad

Stink bugs in corn: additional treatment.
ex2

Food bars: RBD
ex

Vines: Split-Plot in Randomized Blocks Design
ex5

Food bars: Double Factorial scheme in RBD
ex9

Vegetated: Split-plot in CRD
ex8

Composting: double factorial scheme plus one additional treatment in CRD.
ex7

Height of corn plants 21 days after emergence.
fat2.crd

Double factorial scheme in CRD
fat2.ad2.rbd

Double factorial scheme plus two additional treatments in RBD
exnl

Example of fictitious data set
fat2.ad2.crd

Double factorial scheme plus two additional treatments in CRD
fat2.rbd

Double factorial scheme in RBD
ex3

Forage: LSD
fat3.ad.rbd

Triple factorial scheme plus an additional treatment in RBD
fat3.ad.crd

Triple factorial scheme plus an additional treatment in CRD
latsd

Latin Square Design
ex4

Composting: Doble Factorial scheme in CRD
oneillmathews

Test for homogeneity of variances of ONeill and Mathews (CRD)
layard

Test for homogeneity of variances of Layard
scottknott

Multiple comparison: Scott-Knott test
samiuddin

Test for homogeneity of variances of Samiuddin
tukey

Multiple comparison: Tukey's test
lsdb

Multiple comparison: Bonferroni's Least Significant Difference test
order.stat.SNK

Grouping the treatments averages in a comparison with a minimum value
order.group

Ordering the treatments according to the multiple comparison
plotres

Residual plots
lsd

Multiple comparison: Least Significant Difference test
levene

Test for homogeneity of variances of Levene
ex6

Fictional data 1
tapply.stat

Statistics of data grouped by factors
strip

Strip-plot experiments
ginv

Generalized inverse
fat2.ad.crd

Double factorial scheme plus one additional treatment in CRD
graphics

Regression model plots
fat2.ad.rbd

Double factorial scheme plus one additional treatment in RBD
fat3.crd

Triple factorial scheme in CRD
fat3.rbd

Triple factorial scheme in RBD
han

Test for homogeneity of variances of Han
lastC

Setting the last character of a chain
oneilldbc

Test for homogeneity of variances of ONeill and Mathews (RBD)
reg.nl

Non-linear Regression
rbd

Randomized Blocks Design
secaAd

Composting: additional treatment
snk

Multiple comparison: Student-Newman-Keuls test
split2.rbd

Split-plots in RBD
reg.poly

Polinomial Regression
split2.crd

Split-plots in CRD
respAd

Fictional data: additional treatment
crd

One factor Completely Randomized Design