Displaying 5 results from an estimated 5 matches for "trt3".
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rt3
2004 Aug 02
4
Standard errors from glm
...s of the predicted values, but I am wanting the standard errors of the mean.
To clarify:
Assume I have a 4x3x2 factorial with 2 complete replications (i.e. 48 observations, I've appended a dummy set of data at the end of this message). Call the treatments trt1 (4 levels), trt2 (3 levels) and trt3 (2 levels) and the replications rep - all are factors. The observed data is S. Then:
temp.aov <- aov(S~rep+trt1*trt2*trt3, data=dummy.data)
model.tables(temp.aov, type='mean', se=T)
Returns the means, but states "Design is unbalanced - use se.contrasts for se's" which i...
2009 May 18
2
Overdispersion using repeated measures lmer
...-0.079955 0.022903 -3.491 0.000481 ***
Treatment2.Radiata:Month 0.048868 0.033340 1.466 0.142717
Treatment3.Aldabra:Month 0.077697 0.033340 2.330 0.019781 *
---
Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1
Correlation of Fixed Effects:
(Intr) Trt2.R Trt3.A Month T2.R:M
Trtmnt2.Rdt -0.533
Trtmnt3.Ald -0.533 0.450
Month -0.572 0.585 0.585
Trtmnt2.R:M 0.474 -0.882 -0.402 -0.661
Trtmnt3.A:M 0.474 -0.402 -0.882 -0.661 0.454
Any advice on how to account for overdispersion would be much appreciated.
Many thanks in advance
Christine
------...
2004 Dec 01
2
unbalanced design
Hi all,
I'm new to R and have the following problem:
I have a 2 factor design (a has 2 levels, b has 3 levels). I have an
object kidney.aov which is an aov(y ~ a*b), and when I ask for
model.tables(kidney.avo, se=T) I get the following message along with
the table of effects:
Design is unbalanced - use se.contrast() for se's
but the design is NOT unbalanced... each fator level
2007 Mar 14
1
How to transform matrices to ANOVA input datasets?
...a list called dataHP which has 30 elements (m1, m2, ..., m30).
Each element is a 7x6 matrix holding yield data from two factors
experimental design, with treatment in column, position in row. For
instance, the element 20 is:
dataHP[[20]]
col1 col2 col3 trt1 trt2 trt3
[1,] 22.0 20.3 29.7 63.3 78.5 76.4
[2,] 102.4 92.3 72.2 199.2 201.1 218.9
[3,] 18.8 20.8 22.9 106.2 148.4 147.6
[4,] 14.5 17.2 15.6 120.1 115.8 124.6
[5,] 31.9 28.3 22.8 157.9 192.3...
2004 Aug 27
3
reorder [stats] and reorder.factor [lattice]
It was recently pointed out on the lists that the S-PLUS Trellis suite has
a function called reorder.factor that's useful in getting useful ordering
of factors for graphs. I happily went ahead and implemented it, but it
turns out that R (not S-PLUS) has a generic called reorder (with a method
for "dendrogram"). Naturally, this causes R to think I'm defining a
method for