Displaying 5 results from an estimated 5 matches for "pretreat".
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retreat
2010 Dec 02
5
Tukey Test, lme, error: less than two groups
...anything
helpful in the help or in the forum.
I am analysing a dataset of treated grasses. I want to find out, if the
grasses from different Provenances react differently.
In the aov test I found a significance for the combination Treatment and
provenance:
summary(PAMaov<-aov(PAMval~Treatmentf*Pretreatmentf*Provenancef+Error(Datef/Code)))
Treatmentf:Provenancef p-value: 0.008023 **
In the Linear fixed effects model lme, I can see that there is a
significance for two provenances (HU and ES)
summary(PAM.lme<-lme(PAMval~Treatmentf*Provenancef*Pretreatmentf, random=
~1|Datef/Cod...
2007 Dec 16
0
[HH] changing font size in interaction2wt
...ext = list(cex = 0.3),
par.ylab.text = list(cex = 0.3),
axis.text = list(cex = 0.3),
par.main.text = list(cex = 0.3),
par.sub.text = list(cex = 0.3),
add.text = list(cex = 0.3))
foo <- interaction2wt(wear ~ filler + pretreat + raw, data = vulcan)
plot(foo)
--8<---------------cut here---------------end--------------->8---
Thankful for any pointers,
Patrick
2008 Jan 18
0
forming a linear discriminant function from the output of lda()
...Ba -22.069187
I am having trouble going from the cofficients derived from the
spherical within group covariance to the
function I am able to obtain in the other programs.
The rest of the problem set up for all programs are: Region = group
assignment, prior = equal priors and
I do not do any data pretreatment prior to analysis.
Any help would be great.
Thanks,
Matt
[[alternative HTML version deleted]]
2005 Feb 18
0
Suggestions for enhanced routines for "mlm" models.
...matrix H.
The test of zero intercept in the (multivariate) regression of H
%*% Y2 on H %*% Y1 is of some interest, possibly after a linear
transformation of Y. This is the test for additional information,
but it is also the correct (ML) way of utilizing known-zero
effects, e.g. pretreatment measurements. There is even a neat
trick to fitting a linear structure across the responses by
regressing on null-space contrasts.
To some extent, conditional tests can be handled just by moving
variables to the r.h.s. of the linear model specification, but
there might be a...
2008 Mar 06
2
Clustering large data matrix
Hello,
I have a large data matrix (68x13112), each row corresponding to one
observation (patients) and each column corresponding to the variables
(points within an NMR spectrum). I would like to carry out some kind of
clustering on these data to see how many clusters are there. I have
tried the function clara() from the package cluster. If I use the matrix
as is, I can perform the clara