Thanks for your reply.
Let me make an example then:
m<- c(150, 400, 500,750,800, NA)
How can I use cut to generate the m_group as c(0,0.4755,1, 0.2275,0,0):
Breaks 331.04 476.07 608.66 791.5
NA
m_group 0 x 1 x 0
0
Thank you very much!
Regards,
Yan
-----Original Message-----
From: Uwe Ligges [mailto:lig...@statistik.tu-dortmund.de]
Sent: Tuesday, October 18, 2011 5:23 AM
To: Li, Yan
Cc: r-help@r-project.org
Subject: Re: [R] cut data into sevral group and assign calculated values
individually
On 17.10.2011 20:53, Li, Yan wrote:
> Hi All,
>
> I have some data from which I set four points to be breaks. Based on these
> points, I cut the dataset into four groups and assign a number to it:
>
> <=331.04 assign 0
>> 331.04<=476.07 assign data-331.04/(476.07-331.04)
>> 476.07<=608.66 assign 1
>> 608.66<=791.5 assign 791.5- data/(791.5-608.66)
>> 791.5 and NA assign 0
>
>
> Breaks 331.04 476.07 608.66 791.5
> NA
> m_group 0 x 1 x
> 0 0
>
>
> I can use cut() to group the data according to the breaks but having
> difficulty to assign the two calculated interval values.
>
Based on the levels of the factor resulted by cut(), you can calculate a
new vector easily. But since you have not specified a reproducible
example, I cannot quickly change it in order to show how it works.
Best,
Uwe Ligges
> Thank you very much!
>
> Regards,
> Yan
>
> [[alternative HTML version deleted]]
>
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