[R] Mapping data onto score

[Ben Tupper]

On Jul 15, 2008, at 5:16 PM, rcoder wrote:

>
> Hi Ben,
> Yes, this is more or less what I want to do. I want to apply this  
> data in
> columns in a matrix, and insert the results to additional columns.  
> I am not
> entirely aware of a good way of doing this.
>
> e.g. take data from column B, apply normalisation, and feed output  
> into
> column C
>

Oh,

I think you want to use cbind() to add columns to a matrix.  Perhaps  
like this which works with the second column...

v <- matrix(data = rnorm(100), nrow = 10, ncol = 10)
mm <- range(v[,2])
s <- 10 * (v[,2]-mm[1])/(mm[2]-mm[1])
v2 <- cbind(v, s)

Cheers,
Ben



> Thanks,
>
> rcoder
>
>
>
> Ben Tupper wrote:
>>
>>
>> On Jul 15, 2008, at 8:16 AM, rcoder wrote:
>>
>>>
>>> Hi everyone,
>>>
>>> I want to score a set of data (-ve to +ve) using a 0-10 scale. I
>>> have the
>>> data in an R matrix, so I need to add another column, containing
>>> the scores
>>> and resave.
>>>
>>
>> Hi,
>>
>> I am a little fuzzy on what you are asking, but my guess is that you
>> want to normalize the data into the 0-1 range then multiply by 10.
>>
>> values <- rnorm(10) #some numbers
>> mm <- range(values) #the minmax range
>> scaled <- (values-mm[1])/(mm[2]-mm[1]) #normalize into 0-1
>> scaled10 <- 10 * scaled #scale 0-10
>>
>> Is that what you seek?
>> Ben
>>
>> ______________________________________________
>> 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.
>>
>>
>
> -- 
> View this message in context: http://www.nabble.com/Mapping-data- 
> onto-score-tp18463695p18475083.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> 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.

Ben Tupper
PemaquidRiver at tidewater.net

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