Trying to get around R

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 ? ?| < 2} and verify that it is near or larger than 0.95. (Hint from
the text book: Since ? = 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 ? 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.

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),

From the R-help posting guide: 

R-help is not intended for 

coding, do ask it (and provide 

for people on the list to 

no-no.

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 - ?| < 2} and verify that it is near or

larger than 0.95. (Hint from

the text book: Since ? = 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 ? 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.

mailing list

posting guide http://www.R-project.org/posting-guide.html

commented, minimal, self-contained, reproducible code.

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 - ?| < 2} and verify that it is near or
    

larger than 0.95. (Hint from
      

the text book: Since ? = 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 ? 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.
      

From: ecatchpole <e.catchpole at adfa.edu.au>
Date: Tue, 20 Nov 2007 17:07:23 +1100
To: Loren Engrav <engrav at u.washington.edu>
Cc: <r-help at r-project.org>
Subject: Re: [R] Trying to get around R

Loren,

There's a good reason for replying to the list, rather than just to you
personally: to let other readers of the list see the response, so that
they don't duplicate it. Your original posting certainly looked like
homework questions to me. This impression was reinforced by the fact
that the posting was anonymous: this is surely a breach of general
netiquette, rather than an R newbie error?

Students do attempt to get people on this list to do their homework for
them. It is important, for the integrity of their degrees, that we
minimise the occurrence of this. Regular contributors to this list (and
I am not one) perform a huge public service. we should all be grateful
for this.

Ted Catchpole.

 Visiting Fellow
 Univ of New South Wales at ADFA, Canberra, Australia
    _   and University of Kent, Canterbury, England
   'v'   - www.pems.adfa.edu.au/~ecatchpole
  /   \   - fax: +61 2 6268 8786  
   m m    - ph:  +61 2 6268 8895




Loren Engrav wrote on 11/20/2007 04:43 PM:

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 - ?| < 2} and verify that it is near or
    

larger than 0.95. (Hint from
      

the text book: Since ? = 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 ? 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.
      

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 - ?| < 2} and verify that it is near or

larger than 0.95. (Hint from

the text book: Since ? = 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 ? 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.

From: Julian Burgos <jmburgos at u.washington.edu>
Date: Tue, 20 Nov 2007 11:12:45 -0800
To: Loren Engrav <engrav at u.washington.edu>
Cc: <r-help at r-project.org>
Subject: Re: [R] Trying to get around R

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 - $B&L(B| < 2} and verify that it is near or

larger than 0.95. (Hint from

the text book: Since $B&L(B = 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 (J~X gets closer to $B&L(B 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.