Dear R ussers,
My question is, " How can my mean be outside the confidence intervals ?!"
I think i have the answer for it, but i would like to hear some other
ideas on it.
First my data is not continuose but categorical, it is a titre calculated
on a dilution serie.
It is stored as a column of values, and a column indicating the phase of
the trail.
Theoreticaly it is possible to have a value ranging from 0 to 4, but in
practice, only sertain values will occure, and they will repeat.
So it are frequencies.
This is why i belief that it is better to work with a median than with a
mean, because it represents the cluster of values wich occure most.
Below I only give one example, but the mean being below the lowest
confidence limit occures several times over different tests.
does my answer seam reasonable, or should i perhapes use an other methode,
any sugestion?
summary_1d = summary(subset(eda_data, phase=='1' & test=='test
1' ,select=lg_value), na.rm = T)
conf_1d = boxplot.stats(subset(eda_data, phase=='1' &
test=='test 1' ,select=lg_value))
Mean Median 95% Confidence Int. StDev.
Variance
1.198 1.681 1.441 > < 1.922 0.931
0.866
Kind regards,
Tom W.
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