[R] [R-pkgs] OutliersO3 version 0.5.3 released

[Antony Unwin]

Dear all,

A revised version of OutliersO3 is available on CRAN:
>.

The package has been restructured.  The default is now that the tolerance level 
is set individually for each of the (six) outlier methods included.  Plots have 
been added, as have outlier tables and scores for further analysis.  It is also 
possible to draw an O3 plot using your own outlier identification method, see 
the vignette for more details.

There are four vignettes to illustrate the use of the package.

Queries, comments, suggestions are welcome.  Thanks to Michael Friendly, 
Tae-Rae Kim, Nina Wu, and, in particular, Bill Venables for their comments on 
the old version.

Regards

Antony

Professor Antony Unwin
Mathematics Institute,
University of Augsburg, 
86135 Augsburg, Germany
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[R] Error when running duplicate scale imputation for multilevel data

[Yvonne Yock]

Hi,

I am working with a multiple-item questionnaire. I have previously done
item-level multiple imputation using MICE in R and right now I am
attempting duplicate-scale imputation based on the guidelines listed in
Enders's applied missing data analysis book.

I use MICE to do MI as it allows me to specify school effect as I am
working with multilevel data; my respondents come from different schools.

I had no problem running the item-level MI with the school effect. However,
I encounter problem running the duplicate-scale MI when I included the
school effect. I saw this error message '*Error in x + diag(diag(x) *
ridge) : non-conformable arrays*'. I did not get any error message when I
re-ran without school effect.

What could be the reason why I am facing difficulties running duplicate
scale imputation when I specify school effect?

Thanks. ( I have not included any codes as I am not sure if it will be
useful)
Regards,
Yvonne

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[R] plotting the regression coefficients

[greg holly]

Hi Dear all;

I would like to create a plot for regression coefficients with each
independent variable (x) along the side and the phenotypes (y) across the
top (as given below). For each data point, direction and magnitude of
effect could be color and significance could be the size of the circle? Is
this possible?


I would greatly be appreciated your help.

Thanks,

Greg



  y1 y2 y3 y4 y5 y6
x1
x2
x3
x4
x5
x6
x7
x8
x9
x10
x11
x12
x13
x14
x15
x16
x17
.
.

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Re: [R] plotting the regression coefficients

[PIKAL Petr]

Hi

Example, example, example - preferably working.

Wild guess - did you try ggplot?

Cheers
Petr


> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of greg holly
> Sent: Thursday, February 8, 2018 8:14 AM
> To: r-help mailing list 
> Subject: [R] plotting the regression coefficients
>
> Hi Dear all;
>
> I would like to create a plot for regression coefficients with each 
> independent
> variable (x) along the side and the phenotypes (y) across the top (as given
> below). For each data point, direction and magnitude of effect could be color
> and significance could be the size of the circle? Is this possible?
>
>
> I would greatly be appreciated your help.
>
> Thanks,
>
> Greg
>
>
>
>   y1 y2 y3 y4 y5 y6
> x1
> x2
> x3
> x4
> x5
> x6
> x7
> x8
> x9
> x10
> x11
> x12
> x13
> x14
> x15
> x16
> x17
> .
> .
>
> [[alternative HTML version deleted]]
>
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> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.


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