Re: [R] question from environmental statistics

2005-07-17 Thread Francisco J. Zagmutt
Dear Dev

I believe you may need some conceptual guidance in probability theory and 
statistics rather than help with a specific R function to solve your 
analysis.  May I recomend you to visit the statistic consulting office in 
your campus or perhaps review a textbook on applied probability.

Best wishes

Francisco


From: [EMAIL PROTECTED]
To: r-help@stat.math.ethz.ch
CC: [EMAIL PROTECTED]
Subject: [R] question from environmental statistics
Date: Fri, 15 Jul 2005 18:03:15 -0700

thanks Fran. that was useful but Im still in a fix. its a real life data 
which
looks like this:
0.9
10.9
24.0
6.7
0.6
1.0
2.4
12.4
7.9
15.8
1.4
7.9
11000.0

(benzene conc. taken after WTC attacks)..its just a small chunk of data i 
pasted
for you to look at.
its neither normal nor lognormal. someone told me that qq plot does help in
determining the distribution. im not sure how to get it.

can someone help me in this.

thanks



Take a look at this document by Vito Ricci:
http://cran.r-project.org/doc/contrib/Ricci-distributions-en.pdf

Did you try RSiteSearch(Fit distribution) or a Google search?  That will
lead you to fit.dist{gnlm} and fitdistr{MASS}

Cheers

Francisco


 From: [EMAIL PROTECTED]
 To: r-help@stat.math.ethz.ch
 Subject: [R] question from environmental statistics
 Date: Thu, 14 Jul 2005 14:06:45 -0700
 
 
 
 Dear R users
 I want to knw if there is a way in which a raw dataset can be modelled by
 some
 distribution. besides the gof test is there any test involving gamma or
 lognormal that would fit the data.
 
 thank you
 
 -dev

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[R] question from environmental statistics

2005-07-15 Thread pantd
thanks Fran. that was useful but Im still in a fix. its a real life data which
looks like this:
0.9
10.9
24.0
6.7
0.6
1.0
2.4
12.4
7.9
15.8
1.4
7.9
11000.0

(benzene conc. taken after WTC attacks)..its just a small chunk of data i pasted
for you to look at.
its neither normal nor lognormal. someone told me that qq plot does help in
determining the distribution. im not sure how to get it.

can someone help me in this.

thanks



Take a look at this document by Vito Ricci:
http://cran.r-project.org/doc/contrib/Ricci-distributions-en.pdf

Did you try RSiteSearch(Fit distribution) or a Google search?  That will
lead you to fit.dist{gnlm} and fitdistr{MASS}

Cheers

Francisco


From: [EMAIL PROTECTED]
To: r-help@stat.math.ethz.ch
Subject: [R] question from environmental statistics
Date: Thu, 14 Jul 2005 14:06:45 -0700



Dear R users
I want to knw if there is a way in which a raw dataset can be modelled by
some
distribution. besides the gof test is there any test involving gamma or
lognormal that would fit the data.

thank you

-dev

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html


Re: [R] question from environmental statistics

2005-07-15 Thread Charles Annis, P.E.
?qqplot


Charles Annis, P.E.

[EMAIL PROTECTED]
phone: 561-352-9699
eFax:  614-455-3265
http://www.StatisticalEngineering.com
 

-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of [EMAIL PROTECTED]
Sent: Friday, July 15, 2005 9:03 PM
To: r-help@stat.math.ethz.ch
Subject: [R] question from environmental statistics

thanks Fran. that was useful but Im still in a fix. its a real life data
which
looks like this:
0.9
10.9
24.0
6.7
0.6
1.0
2.4
12.4
7.9
15.8
1.4
7.9
11000.0

(benzene conc. taken after WTC attacks)..its just a small chunk of data i
pasted
for you to look at.
its neither normal nor lognormal. someone told me that qq plot does help in
determining the distribution. im not sure how to get it.

can someone help me in this.

thanks



Take a look at this document by Vito Ricci:
http://cran.r-project.org/doc/contrib/Ricci-distributions-en.pdf

Did you try RSiteSearch(Fit distribution) or a Google search?  That will
lead you to fit.dist{gnlm} and fitdistr{MASS}

Cheers

Francisco


From: [EMAIL PROTECTED]
To: r-help@stat.math.ethz.ch
Subject: [R] question from environmental statistics
Date: Thu, 14 Jul 2005 14:06:45 -0700



Dear R users
I want to knw if there is a way in which a raw dataset can be modelled by
some
distribution. besides the gof test is there any test involving gamma or
lognormal that would fit the data.

thank you

-dev

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide!
http://www.R-project.org/posting-guide.html

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html


[R] question from environmental statistics

2005-07-14 Thread pantd


Dear R users
I want to knw if there is a way in which a raw dataset can be modelled by some
distribution. besides the gof test is there any test involving gamma or
lognormal that would fit the data.

thank you

-dev

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html


Re: [R] question from environmental statistics

2005-07-14 Thread Francisco J. Zagmutt
Take a look at this document by Vito Ricci: 
http://cran.r-project.org/doc/contrib/Ricci-distributions-en.pdf

Did you try RSiteSearch(Fit distribution) or a Google search?  That will 
lead you to fit.dist{gnlm} and fitdistr{MASS}

Cheers

Francisco


From: [EMAIL PROTECTED]
To: r-help@stat.math.ethz.ch
Subject: [R] question from environmental statistics
Date: Thu, 14 Jul 2005 14:06:45 -0700



Dear R users
I want to knw if there is a way in which a raw dataset can be modelled by 
some
distribution. besides the gof test is there any test involving gamma or
lognormal that would fit the data.

thank you

-dev

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! 
http://www.R-project.org/posting-guide.html

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html