I think the IOTT is more a general testing framework rather than a single test (like maximum likelihood, least squares, bootstrap, etc.) so a single function won't capture the whole IOTT. There are already many functions available to do IOTT for many cases (well the user needs to provide the ocular part), including ggplot2 and lattice packages, the vis.test function in the TeachingDemos package, and some of the reporting tools in Hmisc and rms packages (and probably plenty of others).
-- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -----Original Message----- > From: Stephan Kolassa [mailto:stephan.kola...@gmx.de] > Sent: Wednesday, May 25, 2011 3:49 PM > To: Greg Snow > Cc: r-help@r-project.org > Subject: Re: [R] What are the common Standard Statistical methods used > for the analysis of a dataset > > Dear all, > > may I suggest the acronym IOTT for the inter-ocular trauma test? > > Now we just need someone to implement iot.test(). I assume it will > appear on CRAN within the next 24 hours. > > Looking forward to yet another base package, > Stephan > > > > Am 25.05.2011 23:36, schrieb Greg Snow: > > How can anyone overlook the intra-ocular trauma test (or sometimes > > called the inter-ocular concussion test). But the i-o trauma test > > needs either a small data set or an appropriate graph of the data (or > > can you look at a dataset of a hundred columns and a million rows and > > do an intra-ocular trauma test?). We were not told the size of the > > dataset or enough information to know what type of graph to make. > > > > You do make a good point though that with minimal additional > > information the intra-ocular trauma test can be useful (well if it is > > significant, there are many datasets that fail the intra-ocular > > trauma test, but still yield interesting results after careful > > study). And for any dataset that has a significant intra-ocular > > trauma test result, that should trump the results of > > SnowsCorrectlySizedButOtherwiseUselessTestOfAnything. > > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
