We simply have to specify the binwidth option as shown below: ggplot ( data, aes ( x = x ) ) + # Modify width of bars geom_histogram ( binwidth = 0.1 ) Changing Bin Widths in Basic R (Optional) To change bin widths in basic R, we change the number of bars showing. Syntax. If we want to double the bin width, we lessen the number of bars showing by using the argument breaks … R 's default with equi-spaced breaks (also the default) is to plot the counts in the cells defined by breaks.Thus the height of a rectangle is proportional to the number of points falling into the cell, as is the area provided the breaks are equally-spaced. The basic syntax for creating a histogram using R is − hist(v,main,xlab,xlim,ylim,breaks,col,border) Details. In the basic R graphics histogram function, we have a option breaks="FD", which gives a reasonable sized binsize for the histogram, do we have any similar simple option for ggplot2?Or even better can we use the same option in ggplot2?. Matlab demo program for selecting bin size of 2-d histogram. Or consider logarithmic scale(s)? To avoid that, we can simply put bins=30 inside the geom_histogram() function. The default value for bins is 30 but if we don’t pass that in geom_histogram then the warning message is shown by R in most of the cases. Right now, we see 12 bars each with bin width of 5. (The current version of web application can NOT be used for computing 2-dimensional histogram.) See also 2-d kernel density estimation. This may sound a like a repeat question, but hopefully it is not. Histograms can be built with ggplot2 thanks to the geom_histogram() function. from 0 to 10), it's easy: my.bin.width<-2 hist(...,breaks=seq(0,10,by=my.bin.width),...) and the "by" argument is your width. It requires only 1 numeric variable as input. The arguments of histogram given above determine the way the partition is chosen. this partition. Remember to try different bin size using the binwidth argument. The definition of histogram differs by source (with country-specific biases). The geom_histogram command also provides the possibility to adjust the width of our histogram bars. Consider the below data frame − x<-rnorm(50000,5,1) df<-data.frame(x) This function automatically cut the variable in bins and count the number of data point per bin. The histogram thus defined is the maximum likelihood estimate among all densities that are piecewise constant w.r.t. R creates histogram using hist() function. The width of the bins should be equal, and you should only use round values like 1, 2, 5, 10, 20, 25, 50, 100, and so on to make it easier for the viewer to interpret the data. This will stop showing the warning message. – bergant May 21 '15 at 16:18. Each bar in histogram represents the height of the number of values present in that range. Hi Abu, If you want constant bin widths (e.g. 3. hist(x, breaks="FD") usually finds the right number of bins. 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