ct though highly improbable.
>
> -Original Message-
> From: R-help On Behalf Of Richard O'Keefe
> Sent: Friday, April 21, 2023 7:31 PM
> To: AbouEl-Makarim Aboueissa
> Cc: R mailing list
> Subject: Re: [R] detect and replace outliers by the average
>
>
Cc: R mailing list
Subject: Re: [R] detect and replace outliers by the average
[External Email]
This can be seen as three steps:
(1) identify outliers
(2) replace them with NA (trivial)
(3) impute missing values.
There are packages for imputing missing data.
See
https://www.analyticsvidhya.com/blog/20
What does it mean when one column is just blank, neither a
number nor NA, just nothing?
On Fri, 21 Apr 2023 at 07:08, AbouEl-Makarim Aboueissa <
abouelmakarim1...@gmail.com> wrote:
> Dear All: the attached file in the .txt format
>
>
>
> *Re:* detect and replace outliers by the average
>
>
>
>
This can be seen as three steps:
(1) identify outliers
(2) replace them with NA (trivial)
(3) impute missing values.
There are packages for imputing missing data.
See
https://www.analyticsvidhya.com/blog/2016/03/tutorial-powerful-packages-imputing-missing-values/
Here I just want to address the fi
Às 19:58 de 20/04/2023, Rui Barradas escreveu:
Às 19:46 de 20/04/2023, AbouEl-Makarim Aboueissa escreveu:
Hi Rui:
here is the dataset
factor x1 x2
0 700 700
0 700 500
0 470 470
0 710 560
0 520
0 610 720
0 710 670
0 610
1 690 620
1 580 540
1 690 690
1 NA 401
1 450 580
1 700 700
1 400
There is at least one outliers package on CRAN.
el
On 20/04/2023 20:43, AbouEl-Makarim Aboueissa wrote:
> Dear All: *please discard my previous email*
>
>
>
> *Re:* detect and replace outliers by the average
>
>
>
> The dataset, please see attached, contains a group factoring column “
> *fa
Às 19:46 de 20/04/2023, AbouEl-Makarim Aboueissa escreveu:
Hi Rui:
here is the dataset
factor x1 x2
0 700 700
0 700 500
0 470 470
0 710 560
0 520
0 610 720
0 710 670
0 610
1 690 620
1 580 540
1 690 690
1 NA 401
1 450 580
1 700 700
1 400
1 600
1 500 400
1 680 650
2 117 63
2
Dear All: the attached file in the .txt format
*Re:* detect and replace outliers by the average
The dataset, please see attached, contains a group factoring column “
*factor*” and two columns of data “x1” and “x2” with some NA values. I need
some help to detect the outliers and replace it a
Hi Rui:
here is the dataset
factor x1 x2
0 700 700
0 700 500
0 470 470
0 710 560
0 520
0 610 720
0 710 670
0 610
1 690 620
1 580 540
1 690 690
1 NA 401
1 450 580
1 700 700
1 400
1 600
1 500 400
1 680 650
2 117 63
2 120 68
2 130 73
2 120 69
2 125 54
2 999 70
2 165 62
2 130 987
Às 19:36 de 20/04/2023, AbouEl-Makarim Aboueissa escreveu:
Dear All:
*Re:* detect and replace outliers by the average
The dataset, please see attached, contains a group factoring column “
*factor*” and two columns of data “x1” and “x2” with some NA values. I need
some help to detect the out
Dear All: *please discard my previous email*
*Re:* detect and replace outliers by the average
The dataset, please see attached, contains a group factoring column “
*factor*” and two columns of data “x1” and “x2” with some NA values. I need
some help to detect the outliers and replace it and
Dear All:
*Re:* detect and replace outliers by the average
The dataset, please see attached, contains a group factoring column “
*factor*” and two columns of data “x1” and “x2” with some NA values. I need
some help to detect the outliers and replace it and the NAs with the
average within each
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