;-) Let's check where factual ends and fictional/personal/etc starts
and how easy to tell.
Are survey data asking for answers to specifically crafted original
questions (i.e. not just age/race/etc) factual? e.g.
\title{The Chatterjee--Price Attitude Data}
\description{
From a survey of the clerical employees of a large financial
organization, the data are aggregated from the questionnaires of the
approximately 35 employees for each of 30 (randomly selected)
departments. The numbers give the percent proportion of favourable
responses to seven questions in each department.}
\usage{attitude}
?
On Tue, 03 Apr 2012, Hadley Wickham wrote:
> > I somewhat agree with Spencer -- as I have mentioned, the recent precedence
> > with tz database shows that such claims would not be taken as ungrounded
> > right
> > away and things could easily go all the way to court -- and that might be a
> > really costly endeavor regardless who is right or wrong. Proving that
> > data is factual, and not fictional/creative/original might be another
> > challenge
> > in quite a few cases I bet.
> I think it's generally easy to tell if something is a fact or not, and
> I doubt any of the datasets in R are fictional.
> Hadley
--
=------------------------------------------------------------------=
Keep in touch www.onerussian.com
Yaroslav Halchenko www.ohloh.net/accounts/yarikoptic
______________________________________________
R-devel@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-devel
