search for: trtc

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2013 Jan 27
1
decimal places in R2HTML
Dear R People: I have an AOV model that I get confidence intervals from via > confint(chick1.aov1) 2.5 % 97.5 % trtA 1.472085 1.607915 trtB 1.512085 1.647915 trtC 1.328751 1.464582 > I am using R2HTML to produce HTML output. However, the HTML code itself just has rounded values, i.e., 1.5 and 1.6. Has anyone run across this, please? Any suggestions would be much appreciated. Sincerely, Erin -- Erin Hodgess Associate Professor Department of Computer...
2007 Oct 22
2
Repeated Measures/Linear Mixed Effects function
...this. I have searched in vain and cannot find the answer. Any help or links to examples would be appreciated greatly. Fixed effects: Xc ~ trt Value Std.Error DF t-value p-value (Intercept) 103.62 2.619657 20 39.55480 0 trtB -33.28 1.991197 20 -16.71356 0 trtC -39.38 1.991197 20 -19.77705 0 trtD -32.60 1.991197 20 -16.37206 0 trtE -47.32 1.991197 20 -23.76460 0 trtF -39.58 1.991197 20 -19.87749 0 Xc Trt fish 109.1 a 1 73 b 1 68.4 c 1 74.8 d 1 60.3 e 1 57 f 1 106...
2008 Apr 15
2
glht with a glm using a Gamma distribution
Quick question about the usage of glht. I'm working with a data set from an experiment where the response is bounded at 0 whose variance increases with the mean, and is continuous. A Gamma error distribution with a log link seemed like the logical choice, and so I've modeled it as such. However, when I use glht to look for differences between groups, I get significant
1999 Nov 30
3
model.tables
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2011 Apr 21
1
Accounting for overdispersion in a mixed-effect model with a proportion response variable and categorical explanatory variables.
...6 *** treatmentB 0.16590 0.06356 2.610 0.00904 ** treatmentC 0.01642 0.06784 0.242 0.80878 treatmentD 0.26677 0.06710 3.976 7.01e-05 *** --- Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1 Correlation of Fixed Effects: (Intr) tBPBS_ tCPBS_ trtB -0.711 trtC -0.666 0.474 trtD -0.674 0.479 0.449 > I then compared the 2 models. > anova(model,model2,test="F") Data: Models: model: y ~ treatment + (1 | treatment/mouse) model2: y ~ treatment + (1 | treatment/mouse) + (1 | obs) Df AIC BIC logLik Chisq Chi Df Pr(>Chisq)...