[R] ggplot2 shifting bars to only overlap in groups

[John Kane]

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!