ggplot2 geom_bar position = "dodge" does not dodge

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Solution 1

This was answered by Dennis Murphy:

p3$test <- factor(p3$test)
p3$fac <- factor(unlist(sapply(as.vector(table(p3$test)), seq_len)))
ggplot(p3, aes(x = test, y = result, fill = fac)) + 
      geom_bar(position = 'dodge', stat = 'identity')

Adjusting the variables:

ggplot(p3, aes(x = test, y = result, color = fac, fill = test)) +
    geom_bar(position = 'dodge', stat = 'identity', linetype = 0)

I almost got what I wanted, except that the color (outline) should be the same. but it was close enough.

Solution 2

ggplot(p3, aes(x = test, y = result, group = result)) + 
    geom_bar(position="dodge", stat="identity")

you can see what is happening if you change the group argument to color.

ggplot(p3, aes(x = test, y = result, color = result)) + 
    geom_bar(position="dodge", stat="identity")

Edited for comments:

It looks like there are odd numbers of groups because there are. Group 4 has 7 elements in it in the data you supplied. group 3 has 5 but 2 of them are identical. The plot shows the height correctly and is grouping like elements together. its like you called unique on each group.

I think plotting:

ggplot(p3, aes(x=test, y=result, group=result, color=result)) + 
  geom_bar(position='dodge', stat='identity')

displays this quite well. As far as each group having 5 elements, that isn't the case. Group 4 has 7. To see what you're describing you could do something like:

ggplot(p3, aes(x=as.integer(row.names(p3)), y=result, fill=factor(test))) +   
  geom_bar(position='dodge', stat='identity')
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Updated on July 13, 2022

Comments

  • geodex
    geodex almost 2 years

    I have the dataframe p3 below:

             test     result
        1      1    26.87778
        2      1    24.52598
        3      1    24.02202
        4      1    20.32632
        5      1    22.00618
        6      2    19.84013
        7      2    19.68983
        8      2    19.84013
        9      2    19.23892
        10     2    19.23892
        11     3    34.36430
        12     3    33.28196
        13     3    33.82313
        14     3    33.82313
        15     3    32.47020
        16     4    25.55169
        17     4    26.90442
        18     4    25.40138
        19     4    24.19895
        20     4    25.85230
        21     4    25.70199
        22     4    24.95047
        23     5    18.64646
        24     5    18.64646
        25     5    17.80653
        26     5    18.64646
        27     5    18.31049
    

    I am trying to make a barchart with dodged results using the code:

        ggplot(p3, aes(x = test, y = result))+ geom_bar(position="dodge", stat="identity")
    

    but it doesn't work at all. I don't understand why it is not working since I used the same code before and it worked.

  • joran
    joran almost 12 years
    Right, I was going to point out that without a natural grouping aesthetic like fill or colour, dodging won't do much.
  • Justin
    Justin almost 12 years
    @Joran Good point. However, even with fill or colour added to the aes, the position='dodge' does not happen. You need to use group so the dodge knows what things its dodging. stat='identity' doesn't provide for automated grouping like other stats do.
  • geodex
    geodex almost 12 years
    this doesnt work. I was thinking of dodging by test so all test = 1 would be dodging together and so on... With that graph, test 1 has 5 elements, test 2 has 3, test 3 has 4, test 4 has 7, and test 5 3.
  • Justin
    Justin almost 12 years
    I'm not sure what you mean by dodging together... what you described is exactly what position='dodge' does. do you mean position='stack'?
  • geodex
    geodex almost 12 years
    @Justin what i meant was test1 should be besides each other then followed by test2 and so on...each test is supposed to have 5 items. The graph produced from your code has uneven number of elements, which should not be.
  • Justin
    Justin almost 12 years
    @geodex see my edit. But the plot shows exactly the number of elements in each group.
  • geodex
    geodex almost 12 years
    @Justin Thanks justin but not the plot I was looking for.