But better without calling your new data frame "subset" since it's a function as well.


-----Original Message-----
From: r-help-bounces@r-project.org on behalf of Schreiber, Stefan
Sent: Thu 1/12/2012 8:50 PM
To: Marc Schwartz; R. Michael Weylandt
Cc: r-help@r-project.org; manu79
Subject: Re: [R] work with a subset of the dataset
 
Or with what I just learned:

 subset<-[mydata$age %in% c(20:30),]

Thanks for explaining Michael!

Stefan


-----Original Message-----
From: r-help-bounces@r-project.org on behalf of Marc Schwartz
Sent: Thu 1/12/2012 8:38 PM
To: R. Michael Weylandt
Cc: r-help@r-project.org; manu79
Subject: Re: [R] work with a subset of the dataset
 
Presuming that 'DF' is the data frame, I am not sure what is wrong with 

  NewDF <- subset(DF, (age >= 20) & (age <= 30))

presuming that 20 and 30 are to be included.

?

Marc Schwartz

On Jan 12, 2012, at 9:26 PM, R. Michael Weylandt wrote:

> You can probably do it more easily with the subset() function but in
> my experience that often leads to more problems than solutions:
> perhaps try this.
> 
> idx <- with(DATA, which(age > 20 & age < 30))
> DATA[idx, ]
> 
> Michael
> 
> On Thu, Jan 12, 2012 at 5:25 PM, manu79 <manuelespino79@hotmail.it> wrote:
>> Hello,
>> I have a big dataset with many variables and I would like to consider only
>> the rows in which there is a specific value of a variable.
>> 
>> I make an example for explain what I mean:
>> I have 5 variables describing a person: age, sex, weight, colour of hair,
>> colour of eyes.
>> I have 1000 rows (1000 persons) and I want to consider only the persons
>> whose age is between 20 to 30. How can I do?
>> 
>> Thank you very much
>> M.

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