Message-ID: <47DA9184.7030405@biostat.wisc.edu>
Date: 2008-03-14T14:53:56Z
From: Erik Iverson
Subject: test individual values in rows
In-Reply-To: <47DA90DF.40105@biostat.wisc.edu>
Of course, it might be clearer if instead of
!all(x < 100) I had put, any(x > 100)
Erik Iverson wrote:
> If your data.frame is completely numeric, this is easy.
>
> If your data.frame is called df, then do
>
> df[apply(df, 1, function(x) !all(x < 100)),]
>
> Look at ?apply
>
> Best,
> Erik Iverson
>
> IAIN GALLAGHER wrote:
>> Hi list.
>>
>> I have a numerical dataset 22,000 rows deep and 43 columns wide. I would like to remove those rows which contain only values less than 100 (ie if any value in the row is greater than 100 the row stays in the dataset). I am unsure how to test each individual value across the rows and then identify the rows which meet my criteria.
>>
>> Can anyone help?
>>
>> Thank you.
>>
>> Iain
>>
>> [[alternative HTML version deleted]]
>>
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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.