Description Details Author(s) References See Also Examples
This package contains functions for the analysis of any complex ANOVA models with any combination of orthogonal/nested and fixed/random factors, based on general principles described by Underwood (1997).
Package: | GAD |
Type: | Package |
Version: | 1.0 |
Date: | 2010-09-14 |
License: | GPL (>= 2.0) |
Leonardo Sandrini-Neto (leonardosandrini@gmail.com)
Mauricio G. Camargo (camargo.ufpr@gmail.com)
Maintainer: leonardosandrini@gmail.com
Cornfield, J., Tukey, J.W. 1956. Average values of mean squares in factorials. Annals of Mathematical Statistics, 27, 907-949.
Sokal, R.R., Rohlf, F.J. 1995. Biometry: the principles and practice of statistics in biological research. 3rd edition. W. H. Freeman and Co. New York. 887 pp.
Underwood, A.J. 1997. Experiments in Ecology: Their Logical Design and Interpretation Using Analysis of Variance. Cambridge University Press, Cambridge.
gad
, estimates
, C.test
, snk.test
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | #Example 1
library(GAD)
data(rohlf95)
CG <- as.fixed(rohlf95$cages)
MQ <- as.random(rohlf95$mosquito)
model <- lm(wing ~ CG + CG%in%MQ, data = rohlf95)
gad(model)
##
##
#Example 2
data(rats)
names(rats)
TR <- as.fixed(rats$treat)
RA <- as.random(rats$rat)
LI <- as.random(rats$liver)
model <- lm(glycog ~ TR + RA%in%TR + LI%in%RA%in%TR, data=rats)
gad(model)
##
##
#Example 3
data(snails)
O <- as.random(snails$origin)
S <- as.random(snails$shore)
B <- as.random(snails$boulder)
C <- as.random(snails$cage)
model <- lm(growth ~ O + S + O*S + B%in%S + O*(B%in%S) + C%in%(O*(B%in%S)),
data = snails)
gad(model)
|
Loading required package: matrixStats
Loading required package: R.methodsS3
R.methodsS3 v1.7.1 (2016-02-15) successfully loaded. See ?R.methodsS3 for help.
Analysis of Variance Table
Response: wing
Df Sum Sq Mean Sq F value Pr(>F)
CG 2 665.68 332.84 1.7409 0.2295
CG:MQ 9 1720.68 191.19 146.8781 6.981e-11 ***
Residual 12 15.62 1.30
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
[1] "glycog" "treat" "rat" "liver"
Analysis of Variance Table
Response: glycog
Df Sum Sq Mean Sq F value Pr(>F)
TR 2 1557.56 778.78 2.9290 0.19710
TR:RA 3 797.67 265.89 5.3715 0.01411 *
TR:RA:LI 12 594.00 49.50 2.3386 0.05029 .
Residual 18 381.00 21.17
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Analysis of Variance Table
Response: growth
Df Sum Sq Mean Sq F value Pr(>F)
O 1 118.582 118.582 109.1874 0.001871 **
S 3 36.360 12.120
O:S 3 3.258 1.086 6.5359 0.015201 *
S:B 8 1.187 0.148 0.8927 0.561821
O:S:B 8 1.329 0.166 1.4177 0.239629
O:S:B:C 24 2.813 0.117 1.0430 0.413970
Residual 192 21.576 0.112
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
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