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This is my data:
> sum.ex
Timepoint mean n sd Time Group
A1 A1-All 1.985249 26 1.000180 A1 All
A1-pT2D A1-pT2D 1.913109 13 1.012633 A1 pT2D
A1-Control A1-Control 2.934105 13 2.472951 A1 Control
B1 B1-All 2.555601 25 1.939970 B1 All
B1-pT2D B1-pT2D 2.057389 13 1.023416 B1 pT2D
B1-Control B1-Control 2.145555 12 1.089522 B1 Control
This is my code:
png('ex')
ggplot(sum.ex, aes(x = Timepoint, y = mean)) +
geom_bar(width = 0.5, position = position_dodge(width = 200), stat="identity", aes(fill = Group)) +
geom_errorbar(aes(ymin=mean-sd, ymax=mean+sd), size = 1, shape = 1, width = 0.2) +
scale_fill_manual(values = c("#333333", "#FF0000", "#0000FF")) +
xlab(NULL) +
ggtitle("PLIN1") + theme_bw() + theme(panel.grid.major = element_blank())
dev.off()
This is the output:
However, I want to have Black+Red+Blue really close, then a space and then Black+Red+Blue really close again.
Thank you!
757
Set the width of geom_bar() to a small value to obtain narrower bars with more space between them. By default, the width of bars is 0.9 (90% of the resolution of the data). You can set this argument to a lower value to get bars that are narrower with more space between them.
To make the bars narrower or wider, set the width of each bar with the width argument. Larger values make the bars wider, and smaller values make the bars narrower. To add space between bars, specify the space argument. The default value is 0.2.
There are two types of bar charts: geom_bar() and geom_col() . geom_bar() makes the height of the bar proportional to the number of cases in each group (or if the weight aesthetic is supplied, the sum of the weights). If you want the heights of the bars to represent values in the data, use geom_col() instead.
I think this is easiest to achieve if you use x = Time and fill = Group. Something like:
dodge <- position_dodge(width = 0.5)
ggplot(df, aes(x = Time, y = mean, fill = Group)) +
geom_bar(width = 0.5, stat="identity", position = dodge) +
geom_errorbar(aes(ymin=mean-sd, ymax=mean+sd),
position = dodge, size = 1, shape = 1, width = 0.2) +
scale_fill_manual(values = c("#333333", "#FF0000", "#0000FF")) +
theme_bw() +
theme(panel.grid.major = element_blank())
91
Plot against Time only, then position_dodge has meaning for the bars (there are 3 observations per group). Use position_dodge with width close to the bar width. Add group=Group to make the errorbars behave like the bars (you need it since they don't have colour aesthetic to distinguish them). Use the same position_dodge width as before to align them properly.
ggplot(sum.ex, aes(x = Time, y = mean)) +
geom_bar(width = 0.5, position = position_dodge(width = 0.5), stat = "identity", aes(fill = Group)) +
geom_errorbar(aes(ymin=mean-sd, ymax=mean+sd, group=Group), position=position_dodge(width = 0.5), size = 1, shape = 1, width = 0.2) +
scale_fill_manual(values = c("#333333", "#FF0000", "#0000FF")) +
xlab(NULL) +
ggtitle("PLIN1") + theme_bw() + theme(panel.grid.major = element_blank())
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