I'd like to feed geom_histogram
the number of bins for my histogram instead of controlling bins through binwidth
. The documentation says I can do this by setting the bins
argument. But when I run
ggplot(data = iris, aes(x = Sepal.Length)) + stat_bin(bins = 5)
I get an output message with 30 bins, as if I didn't specify binwidth at all.
stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.
I've tried feeding this argument to stat_bin
and qplot
with the same problem. Am I doing something wrong?
I'm using ggplot2 version 1.0.1.
To change the number of bins in the histogram using the ggplot2 package library in the R Language, we use the bins argument of the geom_histogram() function. The bins argument of the geom_histogram() function to manually set the number of bars, cells, or bins the whole histogram will be divided into.
N = morebins( h ) increases the number of bins in histogram h by 10% (rounded up to the nearest integer) and returns the new number of bins. For bivariate histograms, this increases the bin count in both the x and y directions.
Base R hist function uses the Sturges method to calculate the number of bins, which is a good default.
Calculate the number of bins by taking the square root of the number of data points and round up. Calculate the bin width by dividing the specification tolerance or range (USL-LSL or Max-Min value) by the # of bins.
Just pass bins=x
directly
library(ggplot2) df <- data.frame(a = rnorm(10000)) ggplot(df, aes(x=a)) + geom_histogram()
Produces this (with warning "stat_bin()
using bins = 30
. Pick better value with binwidth
."):
And this:
ggplot(df, aes(x=a)) + geom_histogram(bins=10)
Produces:
Using ggplot2 version 2.0.0
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