Displaying 4 results from an estimated 4 matches for "treatmentf".
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2010 Dec 02
5
Tukey Test, lme, error: less than two groups
...#39;t find 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|...
2012 Mar 04
2
Can't find all levels of categorical predictors in output of zeroinfl()
...1958 -0.5612 -0.3764 0.2704 5.5130
Count model coefficients (poisson with log link):
Estimate Std. Error z value Pr(>|z|)
(Intercept) -0.2035 0.3435 -0.592 0.55368
Elev02-Mid 0.3937 0.1806 2.180 0.02923 *
Elev03-High 0.1635 0.1792 0.912 0.36159
TreatmentF 1.0026 0.3305 3.033 0.00242 **
TreatmentO 0.5915 0.3293 1.796 0.07244 .
Zero-inflation model coefficients (binomial with logit link):
Estimate Std. Error z value Pr(>|z|)
(Intercept) 1.6086 0.5080 3.167 0.00154 **
Elev02-Mid -0.3813 0.4345 -...
2011 Sep 13
1
stupid lm() question
...Rgames> model<-lm(decrease~.,data=OrchardSprays)
Rgames> model
Call:
lm(formula = decrease ~ ., data = OrchardSprays)
Coefficients:
(Intercept) rowpos colpos treatmentB treatmentC
22.705 -2.784 -1.234 3.000 20.625
treatmentD treatmentE treatmentF treatmentG treatmentH
30.375 58.500 64.375 63.875 85.625
Rgames> levels(OrchardSprays$treatment) #just double-checking...
[1] "A" "B" "C" "D" "E" "F" "G" "H"
So: why isn't th...
2004 Nov 17
4
summary.lme() vs. anova.lme()
...lt;- lme(mconc~treatment*poly(d,2), random=~poly(d,2)|replicate,
data=my.data)
summary(mconc.lme) shows that the linear coefficient of one of the
treatments is significantly different to zero, viz.
Value Std.Error DF t-value p-value
... ... ... ...
...
treatmentf:poly(d, 2)1 1.3058562 0.5072409 315 2.574430 0.0105
But anova(mconc.lme) gives a non-significant result for the treatment*time
interaction, viz.
numDF denDF F-value p-value
(Intercept) 1 315 159.17267 <.0001
treatment 2 39 0.51364 0...