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What are the common Standard Statistical methods used for the analysis of a dataset

8 messages · Ramnath R, Ben Bolker, Michael Dewey +3 more

Original
Ben Bolker
# 
Ramnath R <vrramnath <at> gmail.com> writes:
Sorry, but this question is the statistical equivalent of
"how long is a piece of string"?  Furthermore, even if it were
better phrased it would not be a question about R, but about
statistics (sometimes tolerated here, but not appropriate).
Finally, it sounds like a homework question (also inappropriate).

  Please read the posting guide ...

 sincerely
   Ben Bolker
1 day later
Greg Snow
# 
The only statistical method that I know of that can be applied to any dataset without further definition of the nature of the data or the question being asked is SnowsCorrectlySizedButOtherwiseUselessTestOfAnything which is found in the TeachingDemos package for R.  However this test is not common (for a couple of very good reasons).

If you want a more useful method you first need to decide on what your question is that you want answered and have some more detail about the dataset.

-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Ramnath R
Sent: Monday, May 23, 2011 12:12 PM
To: r-help at r-project.org
Subject: [R] What are the common Standard Statistical methods used for the analysis of a dataset

Hi,

Anybody know what are the common Standard statistical methods used for the
analysis of a dataset,and
anybody know which of these methods give similar results

Ram


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Michael Dewey
#
At 00:41 25/05/2011, Greg Snow wrote:
Greg, have you overlooked the intra-ocular trauma test?
Michael Dewey
info at aghmed.fsnet.co.uk
http://www.aghmed.fsnet.co.uk/home.html
(Ted Harding)
# 
[See in-line below]
On 25-May-11 19:14:11, Michael Dewey wrote:
No, Greg has not overlooked it. He invented it. However, he
never published it, preferring to communicate it by causing
others to feel its impact whenever he writes anything.

Ted.
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Date: 25-May-11                                       Time: 21:15:36
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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.
Stephan Kolassa
# 
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:
Greg Snow
# 
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).