[R] Reg:K-Means cluster/Matrix Analysis

Bert Gunter bgunter@4567 @end|ng |rom gm@||@com
Sat May 15 16:49:28 CEST 2021


Sounds like homework. This list has a no homework policy. See the posting
guide linked below, which says:

"*Basic statistics and classroom homework:* R-help is not intended for
these."

Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Sat, May 15, 2021 at 7:35 AM Padmanabhan Anbazhagan <ababubio using gmail.com>
wrote:

> Dear All,
> I have a cluster (.csv) file and need to extract the values of col1 based
> on Col2 and store it. For instance, if Col2 = 1 it should store the values
> Bat, Hat and Mat.  Then, the stored values have to be searched in a
> similarity matrix file to get the scores and average. For example in
> cluster 1, I need to get the scores between Bat-Hat, Bat-Mat, Hat-Bat,
> Hat-Mat, Mat-Bat, Mat-Hat. Lastly, need to print the average score of
> (Bat-Hat, Bat-Mat), (Hat-Bat, Hat-Mat), and (Mat-Bat, Mat-Hat). To do so,
> any help with R script would be greatly appreciated. Many thanks in
> advance.
>
> Col1Col2
> Bat 1
> Hat 1
> Mat  1
> Dog 2
> Cow 2
> Ant 2
> Man 3
> Bun 3
> Pen 3
>
>    Bat
>
>   Hat
>
>   Mat
>
>    Dog
>
>    Cow
>
>    Ant
>
>    Man
>
>    Bun
>
>    Pen
>
> Bat
>
> 0
>
> 0.1
>
> 0.2
>
> 0.3
>
> 0.4
>
> 0.5
>
> 0.6
>
> 0.7
>
> 0.8
>
> Hat
>
> 0.9
>
> 0
>
> 1.1
>
> 1.2
>
> 1.3
>
> 1.4
>
> 1.5
>
> 1.6
>
> 1.7
>
> Mat
>
> 1.8
>
> 1.9
>
> 0
>
> 2.1
>
> 2.2
>
> 2.3
>
> 2.4
>
> 2.5
>
> 2.6
>
> Dog
>
> 2.7
>
> 2.8
>
> 2.9
>
> 0
>
> 3.1
>
> 3.2
>
> 3.3
>
> 3.4
>
> 3.5
>
> Cow
>
> 3.6
>
> 3.7
>
> 3.8
>
> 3.9
>
> 0
>
> 4.1
>
> 4.2
>
> 4.3
>
> 4.4
>
> Ant
>
> 4.5
>
> 4.6
>
> 4.7
>
> 4.8
>
> 4.9
>
> 0
>
> 5.1
>
> 5.2
>
> 5.3
>
> Man
>
> 5.4
>
> 5.5
>
> 5.6
>
> 5.7
>
> 5.8
>
> 5.9
>
> 0
>
> 6.1
>
> 6.2
>
> Bun
>
> 6.3
>
> 6.4
>
> 6.5
>
> 6.6
>
> 6.7
>
> 6.8
>
> 6.9
>
> 0
>
> 7.1
>
> Pen
>
> 7.2
>
> 7.3
>
> 7.4
>
> 7.5
>
> 7.6
>
> 7.7
>
> 7.8
>
> 7.9
>
> 0
>
> Best regards
> Padhu
>
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>
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