gt;
>
>
> *From:* greg holly [mailto:mak.hho...@gmail.com]
> *Sent:* Monday, February 12, 2018 7:07 PM
> *To:* Richard M. Heiberger
> *Cc:* PIKAL Petr ; r-help mailing list <
> r-help@r-project.org>
>
> *Subject:* Re: [R] plotting the regression coefficients
>
>
&g
. Heiberger
Cc: PIKAL Petr ; r-help mailing list
Subject: Re: [R] plotting the regression coefficients
Hi Petr and Richard;
Thanks for your responses and supports. I just faced a different problem. I
have the following R codes and work well.
p <- ggplot(a, aes(x=Phenotypes, y=Metaboli
levels(temp$variable)
> > [1] "y1" "y2" "y3" "y4"
> >> levels(temp$variable) <- levels(temp$variable)[c(2,4,1,3)]
> >> levels(temp$variable)
> > [1] "y2" "y4" "y1" "y3"
> >>
>
gt; >> levels(temp$variable) <- levels(temp$variable)[c(2,4,1,3)]
> >> levels(temp$variable)
> > [1] "y2" "y4" "y1" "y3"
> >>
> >
> > And you will get graphs with this new levels ordering.
> >
> >
t;> levels(temp$variable)
> [1] "y2" "y4" "y1" "y3"
>>
>
> And you will get graphs with this new levels ordering.
>
> Cheers
> Petr
>
> From: greg holly [mailto:mak.hho...@gmail.com]
> Sent: Monday, February 12, 2018 8:52 AM
"y4" "y1" "y3"
>
And you will get graphs with this new levels ordering.
Cheers
Petr
From: greg holly [mailto:mak.hho...@gmail.com]
Sent: Monday, February 12, 2018 8:52 AM
To: PIKAL Petr
Cc: r-help mailing list
Subject: Re: [R] plotting the regression coefficient
t())
>
> }
>
> dev.off()
>
>
>
> But the real code partly depends on your real data.
>
>
>
> Cheers
>
> Petr
>
>
>
> *From:* greg holly [mailto:mak.hho...@gmail.com]
> *Sent:* Saturday, February 10, 2018 9:05 PM
>
> *To:* PIKAL Petr
>
10, 2018 9:05 PM
To: PIKAL Petr
Cc: r-help mailing list
Subject: Re: [R] plotting the regression coefficients
Hi Peter;
The R code you provided works very well. Once again thanks so much for this.
The number of variables in my data set that should appear on the y-axis is 733
and they are not num
reshaped
>>
>>
>>
>> library(reshape2)
>>
>> library(ggplot2)
>>
>>
>>
>> temp <- melt(temp)
>>
>> p <- ggplot(temp, aes(x=par1, y=variable, size=abs(value),
>> colour=factor(sign(value
>>
>> p+g
Hi Bert;
Thanks so much for this. It is much appreciated.
Regards,
Greg
On Thu, Feb 8, 2018 at 3:29 PM, Bert Gunter wrote:
> Fwiw, encoding magnitude in color is generally a bad idea. Using
> area(*not* radius) is also not great, but maybe it will work for you.
>
> See here for some explanatio
>
> Cheers
>
> Petr
>
> And preferably do not post in HTML, the email content could be scrambled.
>
>
>
> *From:* greg holly [mailto:mak.hho...@gmail.com]
> *Sent:* Thursday, February 8, 2018 9:23 AM
> *To:* PIKAL Petr
> *Cc:* r-help mailing list
> *Subject:*
Fwiw, encoding magnitude in color is generally a bad idea. Using area(*not*
radius) is also not great, but maybe it will work for you.
See here for some explanation:
https://www.amazon.com/Visual-Display-Quantitative-Information/dp/0961392142/ref=sr_1_1?s=books&ie=UTF8&qid=1518092778&sr=1-1&keywor
(temp)
p <- ggplot(temp, aes(x=par1, y=variable, size=abs(value),
colour=factor(sign(value
p+geom_point()
Is this what you wanted?
Cheers
Petr
And preferably do not post in HTML, the email content could be scrambled.
From: greg holly [mailto:mak.hho...@gmail.com]
Sent: Thursday, Februa
Hi Petr;
Thanks for your reply. It is much appreciated. A small example is given
below for 4 independent and 4 dependent variables only. The values given
are regression coefficients.I have looked ggplot documents before writing
to you. Unfortunately, I could not figure out as my experience in ggp
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] plottin
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