From: Ted Harding <Ted.Harding_at_manchester.ac.uk>

Date: Sun, 27 Apr 2008 19:14:43 +0100 (BST)

E-Mail: (Ted Harding) <Ted.Harding_at_manchester.ac.uk> Fax-to-email: +44 (0)870 094 0861

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. Received on Sun 27 Apr 2008 - 18:17:47 GMT

Date: Sun, 27 Apr 2008 19:14:43 +0100 (BST)

On 27-Apr-08 16:41:58, marcelha mukim wrote:

> Hi Sarah:

*>
**> Thank you very much, but my problem remains. What I want is not
**> duplicate the sample, but be able to divide each frequency for
**> a factor(specific for each value).For example:
**>
**> Values 1 2 3 4 5
**> Frequency 10 34 56 67 98
**> Factor 105 50 60 150 200
**>
**> Actually Im plotting: plot(Values, Frequency/Factor, type="b").
**> But I dont know how to visualize the probability distribution.
**> On the hand to modify the "hist" function to include this Factor
**> seems to be a daunting task.
**>
**> any other advise will be welcome
**> thank you
**> m.
*

You don't need to go that far! Assuming you need to use hist() to construct the counts in the first place, you can then modify the $counts component of what it returns.

Here is an example using uniform random data:

X <- 5*runif(265)

## Have a look at it:

hist(X,breaks=5)

## Now make a histogram with class frequencies divided by the factors:

Factor <- c(105,50,60,150,200)

H <- hist(X,breaks=5,plot=FALSE)

H$counts <- H$counts/Factor

plot(H)

Is that the sort of thing you were after?

Best wishes,

Ted.

E-Mail: (Ted Harding) <Ted.Harding_at_manchester.ac.uk> Fax-to-email: +44 (0)870 094 0861

Date: 27-Apr-08 Time: 19:14:39 ------------------------------ XFMail ------------------------------ ______________________________________________R-help_at_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. Received on Sun 27 Apr 2008 - 18:17:47 GMT

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