model.
As usual, Rhelp is powerful tool for getting answers if one tries to keep
Posting guide rules.
Cheers
Petr
From: William Dunlap [mailto:wdun...@tibco.com]
Sent: Tuesday, February 02, 2016 6:09 PM
To: PIKAL Petr
Cc: R Help R
Subject: Re: [R] fancy linear model and grouping
Perhaps you can
Perhaps you can try clustering the output of the Hough transform.
PET::hough() will compute it, given a matrix like
gplots::hist2d(1/temp[,1],temp[,2])$hData. I do not have much experience
here.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Tue, Feb 2, 2016 at 3:35 AM, PIKAL Petr wrote:
> De
gt;
>
>> -Original Message-
>> From: Gabor Grothendieck [mailto:ggrothendi...@gmail.com]
>> Sent: Tuesday, February 02, 2016 1:20 PM
>> To: PIKAL Petr
>> Cc: R Help R
>> Subject: Re: [R] fancy linear model and grouping
>>
>> Try the mclust p
t miss
anything.
Cheers
Petr
> -Original Message-
> From: Gabor Grothendieck [mailto:ggrothendi...@gmail.com]
> Sent: Tuesday, February 02, 2016 1:20 PM
> To: PIKAL Petr
> Cc: R Help R
> Subject: Re: [R] fancy linear model and grouping
>
> Try the mclust package:
Try the mclust package:
library(mclust)
temp.na <- na.omit(temp)
fm <- Mclust(temp.na)
g <- fm$classification
plot(temp.na, pch = g, col = g)
On Tue, Feb 2, 2016 at 6:35 AM, PIKAL Petr wrote:
> Dear all
>
> I have data like this
>
>> dput(temp)
>
> temp <- structure(list(X1 = c(93, 82, NA, 93,
Dear all
I have data like this
> dput(temp)
temp <- structure(list(X1 = c(93, 82, NA, 93, 93, 79, 79, 93, 93, 85,
82, 93, 87, 93, 92, NA, 87, 93, 93, 93, 74, 77, 87, 93, 82, 87,
75, 82, 93, 92, 68, 93, 93, 73, NA, 85, 81, 79, 75, 87, 93, NA,
87, 87, 85, 92, 87, 92, 93, 87, 87, NA, 69, 87, 93, 87
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