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
，
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