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ExpDes (version 1.2.0)

Experimental Designs

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)(qualitative treatments); residual analysis (Ferreira, Cavalcanti and Nogueira, 2014) .

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Version

Install

install.packages('ExpDes')

Monthly Downloads

818

Version

1.2.0

License

GPL-2

Maintainer

Eric Batista Ferreira

Last Published

May 17th, 2018

Functions in ExpDes (1.2.0)

ex2

Food bars: RBD
graphics

Regression model plots
han

Test for homogeneity of variances of Han
ex9

Vegetated: Split-plot in CRD
tapply.stat

Statistics of data grouped by factors
split2.crd

Split-plots in CRD
snk

Multiple comparison: Student-Newman-Keuls test
tukey

Multiple comparison: Tukey's test
fat3.crd

Triple factorial scheme in CRD
layard

Test for homogeneity of variances of Layard
scottknott

Multiple comparison: Scott-Knott test
levene

Test for homogeneity of variances of Levene
fat3.ad.crd

Triple factorial scheme plus an additional treatment in CRD
fat3.ad.rbd

Triple factorial scheme plus an additional treatment in RBD
order.group

Ordering the treatments according to the multiple comparison
rbd

Randomized Blocks Design
order.stat.SNK

Grouping the treatments averages in a comparison with a minimum value
fat2.rbd

Double factorial scheme in RBD
fat3.rbd

Triple factorial scheme in RBD
plotres

Set of plots residuals
lastC

Setting the last character of a chain
secaAd

Composting: additional treatment
split2.rbd

Split-plots in RBD
latsd

Latin Square Design
ginv

Generalized inverse
fat2.crd

Double factorial scheme in CRD
fat2.ad.rbd

Double factorial scheme plus one additional treatment in RBD
oneilldbc

Test for homogeneity of variances of ONeill and Mathews (RBD)
lsd

Multiple comparison: Least Significant Difference test
lsdb

Multiple comparison: Bonferroni's Least Significant Difference test
strip

Strip-plot experiments
respAd

Fictional data: additional treatment
samiuddin

Test for homogeneity of variances of Samiuddin
oneillmathews

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

Non-linear Regression
reg.poly

Polinomial Regression
anscombetukey

Test for homogeneity of variances of Anscombe and Tukey
duncan

Multiple comparison: Duncan test
est21Ad

Stink bugs in corn: additional treatment
ex1

Yacon: CRD
crd

One factor Completely Randomized Design
ccf

Multiple comparison: Calinski and Corsten
ex

Vines: Split-Plot in Randomized Blocks Design
fat2.ad.crd

Double factorial scheme plus one additional treatment in CRD
bartlett

Test for Homogeneity of Variances: Bartlett
ccboot

Multiple comparison: Bootstrap
ExpDes-package

Experimental Designs
ex_nl

Example of fictitious data mass
ex8

Composting: double factorial scheme plus one additional treatment in CRD.
ex3

Forage: LSD
ex5

Food bars: Double Factorial scheme in RBD
ex4

Composting: Doble Factorial scheme in CRD
ex7

Height of corn plants 21 days after emergence.
ex6

Fictional data 1