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McDonaldSK1991data.txt
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McDonaldSK1991data.txt
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# From http://udel.edu/~mcdonald/statanovasig.html
# "Here are some data on a shell measurement (the length of the anterior
# adductor muscle scar, standardized by dividing by length) in the mussel
# Mytilus trossulus from five locations: Tillamook, Oregon; Newport, Oregon;
# Petersburg, Alaska; Magadan, Russia; and Tvarminne, Finland,
# taken from a much larger data set used in McDonald et al. (1991)."
#
# McDonald, J. H., R. Seed and R. K. Koehn. 1991.
# Allozymes and morphometric characters of three species of Mytilus
# in the Northern and Southern Hemispheres.
# Mar. Biol. 111:323-333.
#
# Group code:
# 1=Tillamook,Oregon
# 2=Newport,Oregon
# 3=Petersburg,Alaska
# 4=Magadan,Russia
# 5=Tvarminne,Finland
Group Size Site
1 0.0571 OregonT
1 0.0813 OregonT
1 0.0831 OregonT
1 0.0976 OregonT
1 0.0817 OregonT
1 0.0859 OregonT
1 0.0735 OregonT
1 0.0659 OregonT
1 0.0923 OregonT
1 0.0836 OregonT
2 0.0873 OregonN
2 0.0662 OregonN
2 0.0672 OregonN
2 0.0819 OregonN
2 0.0749 OregonN
2 0.0649 OregonN
2 0.0835 OregonN
2 0.0725 OregonN
3 0.0974 Alaska
3 0.1352 Alaska
3 0.0817 Alaska
3 0.1016 Alaska
3 0.0968 Alaska
3 0.1064 Alaska
3 0.1050 Alaska
4 0.1033 Russia
4 0.0915 Russia
4 0.0781 Russia
4 0.0685 Russia
4 0.0677 Russia
4 0.0697 Russia
4 0.0764 Russia
4 0.0689 Russia
5 0.0703 Finland
5 0.1026 Finland
5 0.0956 Finland
5 0.0973 Finland
5 0.1039 Finland
5 0.1045 Finland
#
# http://udel.edu/~mcdonald/statanovaunplanned.html
# shows that Tukey-Kramer method of unplanned comparisons
# groups
# Newport/Magadan/Tillamook (2/4/1),
# Magadan/Tillamook/Tvarminne (4/1/5),
# and Tvarminne/Petersburg (5/3).
#
# From http://udel.edu/~mcdonald/statanovaplanned.html:
# Really important note about planned comparisons
# Planned comparisons must be planned before you look at the data. If you
# look at some data, pick out an interesting comparison, then analyze it as
# if it were a planned comparison, you will be committing scientific fraud.
# For example, if you look at the mean arch heights for the nine sports, see
# that cross-country has the lowest mean and swimming has the highest mean,
# then compare just those two means, your P-value will be much too low. This
# is because there are 36 possible pairwise comparisons in a set of 9 means.
# You expect 5 percent, or 1 out of 20, tests to be "significant" at the
# P<0.05 level, even if all the data really fit the null hypothesis, so
# there's a good chance that the most extreme comparison in a set of 36
# will have a P-value less than 0.05.
# It would be acceptable to run a pilot experiment and plan your planned
# comparisons based on the results of the pilot experiment. However, if you
# do this you could not include the data from the pilot experiment in the
# analysis; you would have to limit your anova to the new data.