[R] removed data is still there!
Prof Brian Ripley
ripley at stats.ox.ac.uk
Fri Sep 24 08:35:26 CEST 2010
On Thu, 23 Sep 2010, Peter Ehlers wrote:
> On 2010-09-21 5:51, Nikhil Kaza wrote:
>> example(factor)
>>
>> iris1$Species<- factor(iris1$Species, drop=T)
>>
>> will get you what you need.
>
> Hmm, doesn't work for me. ?factor does not list a 'drop='
> argument.
I suspect
iris1$Species <- [iris1$Species, drop=TRUE]
was meant. See ?`[.factor` .
>
> -Peter Ehlers
>
>>
>>
>> Nikhil Kaza
>> Asst. Professor,
>> City and Regional Planning
>> University of North Carolina
>>
>> nikhil.list at gmail.com
>>
>> On Sep 21, 2010, at 7:41 AM, pdb wrote:
>>
>>>
>>> I'm confused, hope someone can point out what is not obvious to me.
>>>
>>> I thought I was creating a new data frame by 'deleting' rows from an
>>> existing dataframe - I've tried 2 methods.
>>>
>>> But this new data frame seems to remember values from its parent -
>>> even
>>> though there are no occurences.
>>>
>>> Where does it get the values versicolor and virginica from and give
>>> then a
>>> count of 0?
>>>
>>> What am I missing?
>>>
>>> Thanks in advance.
>>>
>>>> summary(iris$Species)
>>> setosa versicolor virginica
>>> 50 50 50
>>>
>>>> nrow(iris)
>>> [1] 150
>>>
>>>> iris1<- iris[iris$Species == 'setosa',]
>>>
>>>> nrow(iris1)
>>> [1] 50
>>>
>>>> summary(iris1$Species)
>>> setosa versicolor virginica
>>> 50 0 0
>>>
>>> boxplot(Petal.Width ~ Species, data = iris1, plot=1)
>>>
>>>> iris2<- subset(iris, Species == 'setosa')
>>>
>>>> nrow(iris2)
>>> [1] 50
>>>
>>>> summary(iris2$Species)
>>> setosa versicolor virginica
>>> 50 0 0
>>>
>>>> boxplot(Petal.Width ~ Species, data = iris2, plot=1)
>>>
>>>
>>>
>>>
>>> --
>>> View this message in context:
>>> http://r.789695.n4.nabble.com/removed-data-is-still-there-tp2548440p2548440.html
>>> Sent from the R help mailing list archive at Nabble.com.
>>>
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>>
>
> ______________________________________________
> 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.
>
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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