I had never thought of violins.? It might be interesting. However , I still
think there maybe some use out of the 4-panel approach.?
What does your vioilin code look like?
Using Denis' code
gg<- ggplot(dat1, aes(x = condition, y = t, color = gender, linetype
direction)) +
? geom_errorbar(aes(ymin = t - ci, ymax = t + ci),
??????????????? position = position_dodge(width = 0.6), size = 1,
??????????????? width = 0.5) +
? geom_point(position = position_dodge(width = 0.6), size = 2.5) +
? facet_wrap(direction ~ location) +
? scale_color_manual(values = c("blue", "darkorange"))+
? theme_bw()+
? scale_y_continuous(breaks=seq(0.6,1.5,0.1))
gg
John Kane
Kingston ON Canada
-----Original Message-----
From: hyiltiz at gmail.com
Sent: Tue, 17 Feb 2015 01:20:06 +0800
To: jrkrideau at inbox.com
Subject: Re: [R] ggplot2 shifting bars to only overlap in groups
Again, I come to think about violin plots which is more informative than the
error bars. But for some reason, the violin in the *west* became way too slimmer
than the *east* one, though the density plot tells me that is not necessarily
the case. I am still trying to figure that out, and that would be even more
irrelevant as long as *shifting bars in gorups*. So maybe I will come up with
another post later when I got the solution.
???
=======================He who is worthy to receive his days and nights is worthy
to receive* all
else* from you (and me).
? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?? The Prophet, Gibran Kahlil
On Mon, Feb 16, 2015 at 9:59 PM, John Kane <jrkrideau at inbox.com> wrote:
Lovely, a much more elegant solution.
John Kane
Kingston ON Canada
-----Original Message-----
From: hyiltiz at gmail.com
Sent: Mon, 16 Feb 2015 02:30:09 +0800
To: jrkrideau at inbox.com, djmuser at gmail.com
Subject: Re: [R] ggplot2 shifting bars to only overlap in groups
Thanks so much, John and Dennis (who did not respond in the mailing list for
some reason). I feel quite obliged to keep you thinking about this.?
I do agree that not using the bar chart with error bars is a better option. And
since *condition* is an important ordinal factor for me, it would be much better
to have *condition* be positioned at a relative order. Thus, only color coding
it as John's latest solution would not be optimal.?
It would have been better with the random data, but with my actual data, it
does seem necessary to do a jitter for the *male* since it got clattered in the
*west*. Here is the actual data along with the solution based on Dennis'
code:
## data
dat1 <- ?structure(list(t = c(1.2454860689532, 0.627186899108052,
0.877176019393987,?
? ? ? ? ? ? ? ? ? ? ? ?1.26720638917869, 1.16906482219006, 0.889738853288831,
0.852034797572489,?
? ? ? ? ? ? ? ? ? ? ? ?1.30007600828822, 1.22896141479778, 0.820236562746995,
0.822197641624559,?
? ? ? ? ? ? ? ? ? ? ? ?1.39529772379005, 1.10479557445486, 0.760017179713665,
0.761340230517717,?
? ? ? ? ? ? ? ? ? ? ? ?1.11132156961026, 1.30042963441715, 0.811425854755042,
0.979421690403349,?
? ? ? ? ? ? ? ? ? ? ? ?1.3297658281305, 1.13377482477157, 0.895243910826397,
0.874181486658082,?
? ? ? ? ? ? ? ? ? ? ? ?1.15728885642541, 1.11121780853125, 0.703348405369258,
0.850897112058048,?
? ? ? ? ? ? ? ? ? ? ? ?1.14260584106012, 1.09383015337114, 0.911388765620587,
0.84622335453925,?
? ? ? ? ? ? ? ? ? ? ? ?1.09847968194129), condition = structure(c(4L, 4L, 4L,
4L, 1L,?
? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? 1L, 1L, 1L,
2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 1L,?
? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? 1L, 1L, 1L,
2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L), .Label = c("c1",?
? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?
"c2", "c2", "c4"), class = "factor"),
direction = structure(c(1L,?
? ? ? ? ? ? ? ? ? ? ? ?1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L,
2L, 1L,?
? ? ? ? ? ? ? ? ? ? ? ?1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L,
2L), .Label = c("up",?
? ? ? ? ? ? ? ? ? ? ? ?"down"), class = "factor"), location
= structure(c(2L, 1L, 2L,?
? 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L,?
? 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L), .Label =
c("east",?
? "west"), class = "factor"), gender = structure(c(2L, 2L,
2L,?
? 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L,?
? 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label =
c("male",?
? "female"), class = "factor"), ci = c(0.0307396796826649,
0.0302954863637637,?
0.0400142340797275, 0.0527186825100342, 0.051675810189946, 0.0368383294010065,?
0.0404823188495183, 0.0526312391852324, 0.0347332720922338,
0.0354587857740343,?
0.0303368490163547, 0.0710445198259065, 0.0229339653012889,
0.0261217906562281,?
0.0285673216713352, 0.0351642108247828, 0.0542657646932069,
0.0566816739316165,?
0.0481239729953889, 0.0434272572423839, 0.0497366325101659,
0.0342004255233646,?
0.0349733697554762, 0.0405364256564456, 0.0478372176424872,
0.0341294939361437,?
0.0424566961614424, 0.0463489561778199, 0.0191707406475215,
0.0501106812754005,?
0.0321562411182704, 0.0218613299095178)), .Names = c("t",
"condition",?
"direction", "location", "gender",
"ci"), row.names = c(NA, -32L
), class = "data.frame")
pp <- ggplot(dat1, aes(x = condition, y = t, color = gender, linetype =
direction)) +
? geom_errorbar(aes(ymin = t - ci, ymax = t + ci),
? ? ? ? ? ? ? ? position = position_dodge(width = 0.6), size = 1,
? ? ? ? ? ? ? ? width = 0.5) +
? geom_point(position = position_dodge(width = 0.6), size = 2.5) +
? facet_wrap(~ location) +
? scale_color_manual(values = c("blue", "darkorange"))+
? theme_bw()+
? scale_y_continuous(breaks=seq(0.6,1.5,0.1))
pp
## EOF
I have also attached the output.?
?Best
?
======================= He who is worthy to receive his days and nights is
worthy to receive* all
else* from you (and me).
? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?? The Prophet, Gibran Kahlil
____________________________________________________________
FREE 3D EARTH SCREENSAVER - Watch the Earth right on your desktop!
Check it out at http://www.inbox.com/earth [http://www.inbox.com/earth]
____________________________________________________________
FREE 3D EARTH SCREENSAVER - Watch the Earth right on your desktop!
Hörmetjan Yiltiz
2015-Feb-17 17:40 UTC
[R] ggplot2 shifting bars to only overlap in groups
The code is the same as the last one I showed, except I used geom_violin()
instead.
pp <- ggplot(dat1, aes(x = condition, y = t, color = gender, linetype
direction)) +
geom_violin() +
facet_wrap(~ location) +
scale_color_manual(values = c("blue", "darkorange"))+
theme_bw()+
scale_y_continuous(breaks=seq(0.6,1.5,0.1))
And I have attached the resulted violin plot.
One big difference is that in order to plot violin plots, we need the
un-summarized original data in the long format, rather than the summarized
data as we used in the example above. But I am sorry that I can not share
the original data, so in order to plot a whole violin plot, you just need
to simulate out the data as we previously did.
I see that violin plots by ggplot2 does not contain the quantile
information, but it would be nice if it did. Maybe I should just add
another geom_errorbar for that.
???
=======================He who is worthy to receive his days and nights is worthy
to receive* all
else* from you (and me).
The Prophet, Gibran Kahlil
On Wed, Feb 18, 2015 at 12:57 AM, John Kane <jrkrideau at inbox.com>
wrote:
> I had never thought of violins. It might be interesting. However , I
> still think there maybe some use out of the 4-panel approach.
>
> What does your vioilin code look like?
>
> Using Denis' code
>
> gg<- ggplot(dat1, aes(x = condition, y = t, color = gender, linetype
> direction)) +
> geom_errorbar(aes(ymin = t - ci, ymax = t + ci),
> position = position_dodge(width = 0.6), size = 1,
> width = 0.5) +
> geom_point(position = position_dodge(width = 0.6), size = 2.5) +
> facet_wrap(direction ~ location) +
> scale_color_manual(values = c("blue", "darkorange"))+
> theme_bw()+
> scale_y_continuous(breaks=seq(0.6,1.5,0.1))
> gg
>
> John Kane
> Kingston ON Canada
>
> -----Original Message-----
> From: hyiltiz at gmail.com
> Sent: Tue, 17 Feb 2015 01:20:06 +0800
> To: jrkrideau at inbox.com
> Subject: Re: [R] ggplot2 shifting bars to only overlap in groups
>
> Again, I come to think about violin plots which is more informative than
> the error bars. But for some reason, the violin in the *west* became way
> too slimmer than the *east* one, though the density plot tells me that is
> not necessarily the case. I am still trying to figure that out, and that
> would be even more irrelevant as long as *shifting bars in gorups*. So
> maybe I will come up with another post later when I got the solution.
>
> ???
> =======================> He who is worthy to receive his days and nights
is worthy to receive* all
> else* from you (and me).
> The Prophet, Gibran Kahlil
>
> On Mon, Feb 16, 2015 at 9:59 PM, John Kane <jrkrideau at inbox.com>
wrote:
>
> Lovely, a much more elegant solution.
>
> John Kane
> Kingston ON Canada
>
> -----Original Message-----
> From: hyiltiz at gmail.com
> Sent: Mon, 16 Feb 2015 02:30:09 +0800
> To: jrkrideau at inbox.com, djmuser at gmail.com
> Subject: Re: [R] ggplot2 shifting bars to only overlap in groups
>
> Thanks so much, John and Dennis (who did not respond in the mailing list
> for some reason). I feel quite obliged to keep you thinking about this.
>
> I do agree that not using the bar chart with error bars is a better
> option. And since *condition* is an important ordinal factor for me, it
> would be much better to have *condition* be positioned at a relative order.
> Thus, only color coding it as John's latest solution would not be
optimal.
>
> It would have been better with the random data, but with my actual data,
> it does seem necessary to do a jitter for the *male* since it got clattered
> in the *west*. Here is the actual data along with the solution based on
> Dennis' code:
>
> ## data
>
> dat1 <- structure(list(t = c(1.2454860689532, 0.627186899108052,
> 0.877176019393987,
>
> 1.26720638917869, 1.16906482219006,
> 0.889738853288831, 0.852034797572489,
>
> 1.30007600828822, 1.22896141479778,
> 0.820236562746995, 0.822197641624559,
>
> 1.39529772379005, 1.10479557445486,
> 0.760017179713665, 0.761340230517717,
>
> 1.11132156961026, 1.30042963441715,
> 0.811425854755042, 0.979421690403349,
>
> 1.3297658281305, 1.13377482477157,
> 0.895243910826397, 0.874181486658082,
>
> 1.15728885642541, 1.11121780853125,
> 0.703348405369258, 0.850897112058048,
>
> 1.14260584106012, 1.09383015337114,
> 0.911388765620587, 0.84622335453925,
>
> 1.09847968194129), condition = structure(c(4L, 4L,
> 4L, 4L, 1L,
>
> 1L, 1L,
> 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 1L,
>
> 1L, 1L,
> 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L), .Label = c("c1",
>
>
"c2",
> "c2", "c4"), class = "factor"), direction =
structure(c(1L,
>
> 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L,
> 1L, 2L, 2L, 1L,
>
> 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L,
> 1L, 2L, 2L), .Label = c("up",
>
> "down"), class = "factor"),
location > structure(c(2L, 1L, 2L,
>
> 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L,
>
> 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L), .Label =
c("east",
>
> "west"), class = "factor"), gender = structure(c(2L,
2L, 2L,
>
> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L,
>
> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label =
c("male",
>
> "female"), class = "factor"), ci =
c(0.0307396796826649,
> 0.0302954863637637,
>
> 0.0400142340797275, 0.0527186825100342, 0.051675810189946,
> 0.0368383294010065,
>
> 0.0404823188495183, 0.0526312391852324, 0.0347332720922338,
> 0.0354587857740343,
>
> 0.0303368490163547, 0.0710445198259065, 0.0229339653012889,
> 0.0261217906562281,
>
> 0.0285673216713352, 0.0351642108247828, 0.0542657646932069,
> 0.0566816739316165,
>
> 0.0481239729953889, 0.0434272572423839, 0.0497366325101659,
> 0.0342004255233646,
>
> 0.0349733697554762, 0.0405364256564456, 0.0478372176424872,
> 0.0341294939361437,
>
> 0.0424566961614424, 0.0463489561778199, 0.0191707406475215,
> 0.0501106812754005,
>
> 0.0321562411182704, 0.0218613299095178)), .Names = c("t",
"condition",
>
> "direction", "location", "gender",
"ci"), row.names = c(NA, -32L
>
> ), class = "data.frame")
>
> pp <- ggplot(dat1, aes(x = condition, y = t, color = gender, linetype
> direction)) +
>
> geom_errorbar(aes(ymin = t - ci, ymax = t + ci),
>
> position = position_dodge(width = 0.6), size = 1,
>
> width = 0.5) +
>
> geom_point(position = position_dodge(width = 0.6), size = 2.5) +
>
> facet_wrap(~ location) +
>
> scale_color_manual(values = c("blue",
"darkorange"))+
>
> theme_bw()+
>
> scale_y_continuous(breaks=seq(0.6,1.5,0.1))
>
> pp
>
> ## EOF
>
> I have also attached the output.
>
> Best
> ?
> =======================> He who is worthy to receive his days and
nights is worthy to receive* all
> else* from you (and me).
> The Prophet, Gibran
> Kahlil
>
> ____________________________________________________________
> FREE 3D EARTH SCREENSAVER - Watch the Earth right on your desktop!
> Check it out at http://www.inbox.com/earth [http://www.inbox.com/earth]
>
> ____________________________________________________________
> FREE 3D EARTH SCREENSAVER - Watch the Earth right on your desktop!
> Check it out at http://www.inbox.com/earth
>
>
>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: violin_masked.pdf
Type: application/pdf
Size: 72861 bytes
Desc: not available
URL:
<https://stat.ethz.ch/pipermail/r-help/attachments/20150218/5f1d2f3f/attachment.pdf>