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: hyil...@gmail.com
Sent: Tue, 17 Feb 2015 01:20:06 +0800
To: jrkrid...@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.
祝好，
========================
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 <jrkrid...@inbox.com> wrote:
Lovely, a much more elegant solution.
John Kane
Kingston ON Canada
-----Original Message-----
From: hyil...@gmail.com
Sent: Mon, 16 Feb 2015 02:30:09 +0800
To: jrkrid...@inbox.com, djmu...@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
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