Displaying 3 results from an estimated 3 matches for "treatmentd".
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2011 Sep 13
1
stupid lm() question
...s> data(OrchardSprays)
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&q...
2008 Jul 30
1
Mixed effects model where nested factor is not the repeated across treatments lme???
...StdDev: 0.4306096 0.9450976
Fixed effects: Cu ~ Treatment
Value Std.Error DF t-value p-value
(Intercept) 5.587839 0.2632831 104 21.223688 0.0000 ***
TreatmentB -0.970384 0.3729675 16 -2.601792 0.0193 ***
TreatmentC -1.449250 0.3656351 16 -3.963651 0.0011 ***
TreatmentD -1.319564 0.3633837 16 -3.631323 0.0022 ***
Correlation:
(Intr) TrtmAN TrtmCH
TreatmentB -0.706
TreatmentC -0.720 0.508
TreatmentD -0.725 0.511 0.522
Standardized Within-Group Residuals:
Min Q1 Med Q3 Ma...
2011 Apr 21
1
Accounting for overdispersion in a mixed-effect model with a proportion response variable and categorical explanatory variables.
...3Q Max
-2.3134 -0.5712 -0.3288 0.8616 2.4352
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -0.574195 0.036443 -15.756 < 2e-16 ***
treatmentB 0.164364 0.051116 3.216 0.00130 **
treatmentC 0.007025 0.054696 0.128 0.89780
treatmentD 0.258135 0.053811 4.797 1.61e-06 ***
---
Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 60.467 on 17 degrees of freedom
Residual deviance: 28.711 on 14 degrees of freedom
(2 observations deleted...