Hello, I'm trying to use fitdistr() from the MASS package to fit a gamma
distribution to a set of data. The data set is too large (1167 values) to
reproduce in an email, but the summary statistics are:
Min. 1st Qu. Median Mean 3rd Qu. Max.
116.7 266.7 666.7 1348.0 1642.0 16720.0
The call I'm
Thanks for all of your help, David, I finally got it. Here's some generic
syntax in case it helps someone else down the road (using a 4-way ANOVA
with repeated measures on all factors):
# LOAD DATA
data <- read.table("PATH\\datafile.txt")
# RUN THE ANOVA
data.aov <- aov(y ~ factor(x1)*factor(
> Does not this give you what you need?
> model.tables(rawfixtimedata.aov,"means", se=TRUE)
I tried that, but get an error:
SEs for type 'means' are not yet implemented
Maybe I'm not using the correct terminology to describe what I need to do.
Using the main effect of Marking as an example, I h
Hi all,
I'm quite new to R and have a very basic question regarding how one gets
the standard error of the mean for factor levels under aov. I was able to
get the factor level means using:
summary(print(model.tables(rawfixtimedata.aov,"means"),digits=3)),
where rawfixtimedata.aov is my aov m
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