ethod anyways and one should proceed to
lme4 package.
aleXis
Από: RICHARD M. HEIBERGER [rmh(at)temple.edu]
Αποστολή: Τετάρτη, 17 Μαρτίου 2010 4:21 μμ
Προς: Galanidis Alexandros
Κοιν.: R Maillist
Θέμα: Re: [R] define F-ratio computations with aov
Please look a
Greetings to all,
This is my model: aov.fit<-aov(Y~A+B+C+D+E+A:C+A:E)
In summary(aov.fit) all F values are comptuted by eg MS(A)/MS(Residuals). This
is not correct (or what I want), except for F(B) and F(A:E). I suppose P values
are not correct either.
Is it possible with aov to define the way
Greetings to all,
I have presence/absence data for species in plots in different years. My
matrices looks like that:
YEAR1
sp1 sp2 sp3 sp4
11 1 0 1
21 1 1 1
31 1 0 1
41 1 0 1
51 1 0
Hi all,
I' m trying to figure out if it is appropriate to do a PCA having only
categorical data (not ordinal). I have only find the following quote:
One method to find such relationships is to select appropriate variables and
to view the data using a method like Principle Components Analysis (PC
Greetings everyone,
I'm trying to add a specific table or a specific number of rows (e.g.44) to a
table with no success.
This is my basic table
> head(dataA)
yearplot spp prop.BDCA1DCA2DCA3DCA4
1 20001a1 0.031079 -0.0776 -0.0009 0.0259 -0.0457
2 20
Greetings everyone,
I'm trying to add a specific table or a specific number of rows (e.g.44) to a
table with no success.
This is my basic table
> head(dataA)
yearplot spp prop.BDCA1DCA2DCA3DCA4
1 20001 a1 0.031079 -0.0776 -0.0009 0.0259 -0.0457
2 2000
6 matches
Mail list logo