Multiple boxplots using ggplot

Question

I have a dataframe that looks like the one attached, with 6 columns and 1000 rows (tab separated). The column headings (0,30,60,120,240 and 360) are a time series (with 0 representing 0 mins, 30 meaning 30 mins and so on). I'd like to create 6 boxplots corresponding to the columns using ggplot2 in a single plot, keeping in mind that they need to be spaced based on the time difference. It seems I would need to melt the columns, but cant figure out a way to do so. Any help would be much appreciated.

        0       30       60       120      240     360
1       1       NA       NA       NA       1       1
2       NA      NA       NA       NA       NA      NA
3       NA      NA       1        1        1       1
4       0.5     0.21     0.15     1        0.38    0.8
5       0.63    1        0.86     0.85     0.94    0.91

Señor O · Accepted Answer · 2013-08-20 19:50:56Z

8

Did you try just using melt?

library(reshape2)
ggplot(melt(df), aes(variable, value)) + geom_boxplot()

enter image description here

answered Aug 20, 2013 at 19:50

Señor O

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4 Comments

user2701186 Over a year ago

Thanks Senor. That worked with plotting. But what about changing the width of x axis ticks? I'd like 0,30 and 60 to be much closer (since they are only 30 min apart), while the later time points spread out even more as they have a wider time gap between them.

Señor O Over a year ago

You'll need to convert df$variable to numeric (it's a factor right now), and then have aes(..., group=variable) in ggplot. See for example: stackoverflow.com/questions/10805643/…

Jeni Over a year ago

@Señor O, how can you sort the boxplots of the dataframe by its median, to plot firts the lowest and on the right the highest?

Señor O Over a year ago

@Jeni so this was 7 years ago but I think you'll have to use factors for your x variable and either assign the median rank to their value/level or just name the variable its median.

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