From k.j.mcconway@open.ac.uk Wed Mar 28 16:46:49 2001
Hardly crucial, but I've come upon a potential error in the documentation
of the 'swiss' datafram in the R base package. The description accurately
matches what is said in the Mosteller and Tukey source quoted, but
according to the data archived at Princeton (links from
http://opr.princeton.edu/archive/eufert/switz.html), the variable that
Mosteller and Tukey report as infant mortality is actually the proportion
of 'draftees' with education beyond primary school. Infant mortality is on
the archived file, but the values are quite a lot different. Of course,
it's possible that Mosteller and Tukey were right and the people who did
the archiving at Princenton, later, got it wrong.
It seems it is you that got it wrong! In the file sw1888.dat in their
switz.zip, the variable
36 USCHOOL 321-330 3 Prop. draftees with > primary educ.
corresponds to `Education' and
22 INFMORT 181-190 3 Infant Mortality Rate
corresponds to `Infant Mortality'.
Apart from guessing factors of 10, the data correspond to the 47 districts
with > 50% French speakers to the accuracy they are given.
If you still disagree, can you please explain how you did this? I used
read.fwf("sw1888.dat", widths=c(rep(10, 45),1,2,2,2,8,1,15)) ->sw0
ind <- sw0[, 27] > 50000
sw <- sw0[ind, ]
sw[, c(5, 12, 34, 36, 9, 22)-3]
the first column in the file being variable 4.
Thanks for the source: as from 1.3.0 I have added the district names.
--
Brian D. Ripley, ripley@stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272860 (secr)
Oxford OX1 3TG, UK Fax: +44 1865 272595