[R] work with a subset of the dataset
R. Michael Weylandt
michael.weylandt at gmail.com
Fri Jan 13 05:08:10 CET 2012
Almost certainly ok here -- I have just seen too many instances where
the non-standard evaluation of subset() tripped someone up in a
programming context and figured it was better to get going in the `[`
direction now rather than introducing subset() into the OP's workflow.
On Thu, Jan 12, 2012 at 10:38 PM, Marc Schwartz <marc_schwartz at me.com> wrote:
> 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, ]
>> On Thu, Jan 12, 2012 at 5:25 PM, manu79 <manuelespino79 at hotmail.it> wrote:
>>> 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
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