NormalTests | R Documentation |
Tests for several groups of additive lognormally distributed compositions.
acompNormalLocation.test(x, g=NULL, var.equal=FALSE, paired=FALSE,
R=ifelse(var.equal,999,0))
x |
a dataset of compositions (acomp) or a list of such |
g |
a factor grouping the data, not used if x is a list already.
Alternatively, |
var.equal |
a boolean telling wether the variance of the groups should be considered equal |
paired |
true if a paired test should be performed |
R |
number of replicates that should be used to compute p-values. 0 means comparing the likelihood statistic with the correponding asymptotic chisq-distribution. |
The tests are based on likelihood ratio statistics.
A classical "htest"
object
data.name |
The name of the dataset as specified |
method |
a name for the test used |
alternative |
an empty string |
replicates |
a dataset of p-value distributions under the Null-Hypothesis got from nonparametric bootstrap |
p.value |
The p.value computed for this test |
Up to now the tests cannot handle missings.
Do not trust the p-values obtained forcing var.equal=TRUE
and R=0
.
This will include soon equivalent spread tests.
K.Gerald v.d. Boogaart http://www.stat.boogaart.de
Aitchison, J. (1986) The Statistical Analysis of Compositional
Data Monographs on Statistics and Applied Probability. Chapman &
Hall Ltd., London (UK). 416p.
fitDirichlet
,rDirichlet
, runif.acomp
,
rnorm.acomp
,
x <- runif.acomp(100,4)
y <- runif.acomp(100,4)
acompNormalLocation.test(list(x,y))
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