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vic
2008 Oct 05
1
Help on R Coding
Hi all,
I am kind of stuck of using Predict function in R to make prediction
for a model with continuous variable and categorial variables. i have
no problem making the model, the model is e.g.
cabbage.lm2<- lm(VitC ~ HeadWt + Date + Cult)
HeadWt is a continuous variable, Date and Culte are factors. Date have
three levels inside (d16,d20,d21), Cult has two levels(c39,c52). I
need to calculate a confidence interval for the mean VitC for each
combination of Date and Cult, fixing the value of HeadWt at the mean...
2018 Apr 24
0
TukeyHSD and glht differ for models with a covariate
...del? Could anyone elaborate
on why the model.tables function is generating means that differ from
the effect function?? Thanks...
#--------------------------------
# Load libraries and data
library(multcomp)
library(effects)
data(cabbages, package='MASS')
#create the model
mod1 <- lm(VitC~HeadWt+Cult+Date, data=cabbages)
# Using TukeyHSD
TukeyHSD(aov(mod1), which='Date')
#? Tukey multiple comparisons of means
# ? 95% family-wise confidence level
#
#Fit: aov(formula = mod1)
#
#$Date
#????????????? diff??????? lwr????? upr???? p adj
#d20-d16 -0.9216847 -5.5216345 3.678265 0....