cut data into sevral group and assign calculated values individually

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:ligges at statistik.tu-dortmund.de] 
Sent: Tuesday, October 18, 2011 5:23 AM
To: Li, Yan
Cc: r-help at r-project.org
Subject: Re: [R] cut data into sevral group and assign calculated values individually

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

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