# [R] "ipredknn" - How may I find values?

Grzes gregorio99 at gmail.com
Tue Oct 27 15:18:00 CET 2009

```Yes, I want to know which points in my picture are in red or green area.
For example:
.............glucose..........insulin.....diabetes
609  0.95177272  1.13996901        1   - I want to know that it's for
example: black point in red area
253 -1.05724970 -1.15881433        1   - it's for example: black point in
green area
319 -0.24716002  0.18483054        1
302  0.69254402  0.13252965        2

If it's impossible plese give me any package or function which can do it.

Max Kuhn wrote:
>
> I think we are having some difficulty understanding what you are
> looking for. If you are looking to find which of the training samples
> were closest to the prediction sample, I don't think that you can get
> it from this function.
>
> If this is what you want, I use the dist function in the proxy package.
>
> Max
>
> On Tue, Oct 27, 2009 at 8:46 AM, David Winsemius <dwinsemius at comcast.net>
> wrote:
>>
>> On Oct 27, 2009, at 6:02 AM, Grzes wrote:
>>
>>>
>>> Hi everybody!
>>>
>>> I want to find a closer neighbourins observation. This is my code:
>>> ##########################
>>> library(klaR)
>>> library(ipred)
>>> library(mlbench)
>>> data(PimaIndiansDiabetes2)
>>> dane=na.omit(PimaIndiansDiabetes2)[,c(2,5,9)]
>>> dane[,2]=log(dane[,2])
>>> dane[,1:2]=scale(dane[,1:2])
>>> zbior.uczacy=sample(1:nrow(dane),nrow(dane)/2,F)
>>>
>>>
>>> klasyfikatorKNN=ipredknn(diabetes~glucose+insulin,data=dane,subset=zbior.uczacy,k=3)
>>>
>>> oceny=predict(klasyfikatorKNN,dane[-zbior.uczacy,],"class")
>>>
>>> #data frames with my result from klasyfikatorKNN
>>>
>>> df=data.frame(glucose=c(klasyfikatorKNN\$learn\$X[,1]),insulin=klasyfikatorKNN\$learn\$X[,2],diabetes=c(klasyfikatorKNN\$learn\$y))
>>> #And picture
>>> drawparti(as.factor(df\$diabetes), df\$glucose, df\$insulin, method =
>>> "sknn",
>>> prec = 100, xlab = NULL, ylab = NULL)
>>
>> I get an error: Error: could not find function "drawparti"
>>
>>>
>>> ##########################
>>> My question is:  How or where may I find correct or wrong values which
>>> were
>>> drawn (found,classification) in this picture?
>>
>> No picture resulted.
>>
>>> It means I'm looking for  x, y
>>> values.
>>
>> Not sure exactly what you are asking. Does this modification to df and
>> fairly obvious the cross table help?
>>
>>>
>>> df=data.frame(glucose=c(klasyfikatorKNN\$learn\$X[,1]),insulin=klasyfikatorKNN\$learn\$X[,2],pred.diabetes=klasyfikatorKNN\$learn\$y,
>>> trueDiab=dane[,3])
>> Warning message:
>> In data.frame(glucose = c(klasyfikatorKNN\$learn\$X[, 1]), insulin =
>> klasyfikatorKNN\$learn\$X[,  :
>>  row names were found from a short variable and have been discarded
>>> with( df, table(pred.diabetes, trueDiab))
>>             trueDiab
>> pred.diabetes neg pos
>>          neg 174  86
>>          pos  88  44
>>
>>
>>
>>>
>>>
>>> --
>>> View this message in context:
>>> http://www.nabble.com/%22ipredknn%22---How-may-I-find-values--tp26074994p26074994.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
>>> http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>
>> David Winsemius, MD
>> Heritage Laboratories
>> West Hartford, CT
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
>
> --
>
> Max
>
> ______________________________________________
> R-help at r-project.org mailing list
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