I want to plot data points alongside a boxplot in ggplot. However, I can only get the geom_boxplot object to sit on top of my data points. Is there a way I can move them over to get a figure that looks similar to this?
Here is reproducible code and a ggplot object (without formatting) that puts the boxplot over the points. (I know I can also make the boxplot transparent, but I'd prefer to have to next to the data)
a = rep("a",100)
b = rep("b",100)
foo = as.data.frame(cbind(c(rep("a",100),rep("b",100)),c(rnorm(100,15,2.5),rnorm(100,17.5,3.2))))
colnames(foo) = c("series","value")
foo$series = as.factor(foo$series)
foo$value = as.numeric(foo$value)
ggplot(foo, aes(x = series, y = value))+
geom_point(position = position_jitter(width = 0.1))+
geom_boxplot(width = 0.25)
Thanks!
When the median is in the middle of the box, and the whiskers are about the same on both sides of the box, then the distribution is symmetric. When the median is closer to the bottom of the box, and if the whisker is shorter on the lower end of the box, then the distribution is positively skewed (skewed right).
To draw a box plot for the given data first we need to arrange the data in ascending order and then find the minimum, first quartile, median, third quartile and the maximum. To find the First Quartile we take the first six values and find their median. For the Third Quartile, we take the next six and find their median.
How to interpret the box plot? The bottom of the (green) box is the 25% percentile and the top is the 75% percentile value of the data. So, essentially the box represents the middle 50% of all the datapoints which represents the core region when the data is situated.
Creating Box Plotpyplot module of matplotlib library provides boxplot() function with the help of which we can create box plots. The data values given to the ax. boxplot() method can be a Numpy array or Python list or Tuple of arrays. Let us create the box plot by using numpy.
I think that you are looking the for position_nudge()
function in the position parameter:
ggplot(foo, aes(x = series, y = value))+
geom_point(position = position_jitter(width = 0.1))+
geom_boxplot(width = 0.25, position= position_nudge(x=-.5))
Change the x
parameter to the space that you desire.
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