[R] Trying to get around R

[Julian Burgos]

Hi Loren,

It wasn't my intention to sound arrogant, cruel or "off putting".
English is not my first language, and perhaps my message had a tone I
did not intended.  The person posting the message I responded was
literally asking for somebody on the list to do his/hers homework (there
are even references to "hints from the textbook").  This is not only
academically non-kosher, is also not the purpose of the R-help list.  I
pointed this to this person and invited him/her to come back with
specific questions on R coding.

The posting guidelines are easily accessible.  The first line in the
"Mailing Lists" section of the R website
(http://www.r-project.org/mail.html) states "Please read the
instructions below and the posting guide before sending anything to any
mailing list!", and displays a link to the guide.  There also a link to
the guide at the bottom of every message send through this list.  The
posting guide is not hard to find, and (in my opinion) it isn't long or
difficult to understand (in particular for anyone taking college level
statistics).

Julian

Loren Engrav wrote:
> I am a newbie to R and Bio emails and
> 
> It is clear that newbies make "mistakes", I made several which were pointed
> out and I am trying to fix them, and as I fix one I make another, in time
> perhaps I will "know it all", but if it is like surgery, I will make
> mistakes until I retire
> 
> But the response of the "old-timers" to these mistakes seems arrogant and
> cruel and "off putting" and does NOT encourage more participation. In fact
> it takes "real stuff" to continue after this putdown and that putdown.
> 
> There are 3,783 links to posting guidelines, which took 1.5 hours to find
> and read and understand.
> 
> Why not a link on how the mistakes of the newbies will be dealt with?
> 
> Or a kindly response from the moderator personal to the newbie rather than
> to the entire world?
> 
> Or a kindly general response as from Ben Bolker to my last infraction which
> was "You might have better luck with this on the Bioconductor mailing list
> ..."
> 
> Rather than to the universe...
> "Using the wrong list: this is for R-sig-mac, and the topic occcurred
> there recently."
> 
> All in an effort to encourage promote useful and increasing exchange
> participation
> 
> Or not....
> 
> Loren Engrav, MD
> Univ Washington
> 
> 
>> From: Julian Burgos <jmburgos at u.washington.edu>
>> Date: Mon, 19 Nov 2007 10:44:49 -0800
>> To: Epselon <jazzyazza at hotmail.com>
>> Cc: <r-help at r-project.org>
>> Subject: Re: [R] Trying to get around R
>>
>> Hello Epselon (if that is your name),
> 
> This sounds like homework questions.
>> From the R-help posting guide: 
> "Basic statistics and classroom homework:
>> R-help is not intended for 
> these."
> 
> If you have a specific question on R
>> coding, do ask it (and provide 
> reproducible code).  But you should not expect
>> for people on the list to 
> do your homework for you.  That is a big
>> no-no.
> 
> Cheers,
> 
> Julian
> 
> 
>>> Epselon wrote:
>> I have three problems I am trying to
>>> simulate, that I am having difficulty
>> getting around with.
>>
>> Problem 1.
>> I want to determine the 85 percentile (the x value for which the sum of
>>
>>> probabilities becomes 0.85) of the following distributions (two binomials
>>> and a Poisson with rate Lmbda= np of the two binomials): X ~B(10, 0.3),
>>> Y~P(3) , 
>> Z~B(30, 0.1). I want to show that  that Y is a good approximation
>>> for Z but
>> not for X...(by examining these distributions for few
>> different
>>> percentiles)
>> Problem 2:
>> For a binomial distribution X ~ B(20, 0.4), I
>>> want to use R to calculate
>> P{|X - μ| < 2} and verify that it is near or
>>> larger than 0.95. (Hint from
>> the text book: Since μ = 8 and   2.3 then
>>> you 
>>> may want to read the
>> weights, or probabilities, of the values 6:10, into a
>>> vector v and then use
>> the command sum(v) to
>> calculate the sum.) Repeat
>>> this for another set of parameters of your
>> choice.
>>
>> Problem 3:
>> Draw a
>>> sample of size 10, from a Poisson with Lambda= 5, and calculate the
>> mean
>>> and 
>>> the standard deviation of this sample, Repeat this calculation with
>> size 20
>>> and 30 and demonstrate
>> that ‾X gets closer to μ as the sample size
>>> increases.
>> Thanks.
>>
>> I would appreciate it if someone accompanied the
>>> codes with a brief
>> explanation so I can be able to replicate it
>>> myself.
> 
> ______________________________________________
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> PLEASE do read the
>>> posting guide http://www.R-project.org/posting-guide.html
> and provide
>>> commented, minimal, self-contained, reproducible code.
> 
> ______________________________________________
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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