Set whether this histogram displays counts or probabilities.
Create a UniqueHistogram. R must be an input range with elements implicitly convertible to double. The width of each bin will be widthFactor times the minimum distance between unique values. widthFactor must be > 0 and <= 1.
The total count of this histogram.
Controls the color of the bar. Defaults to blue.
Setter
Controls whether each bar is outlined in a black rectange.
Create a BarPlot. centers and heights must be input ranges with elements implicitly convertible to double. width determines the width of each bar relative to the X-axis scale and must be greater than 0.
Create a BarPlot with error bars. lowerErrors and upperErrors must be input ranges with elements implicitly convertible to double for error bars to be shown. Any other value, such as null or 0, will result in no error bars being shown. Therefore, to only show, for example, upper erros, simply pass in null or 0 for the lower errors.
Create a BarPlot that is to be stacked on top of this one. For a convenience function for creating such a plot, see stackedBar().
Scale this object by a factor of scaleFactor in the X direction. This is useful for getting it onto the same scale as another plot.
Scale this object by a factor of scaleFactor in the Y direction. * This is useful for getting it onto the same scale as another plot.
Shift this graph by shiftBy units in the X direction. This is useful for getting it onto the same scale as another plot.
Get the centers of the bars.
Get the heights of the bars.
The default labeling includes each center receiving its own x tick label if there are <= 10 bars on the graph.
Creates a histogram in which every unique value gets its own bin. Useful for histograms where the distribution is known to be discrete over a small set of values.
Hint: Since this class inherits from BarPlot, BarPlot.centers will provide a list of the unique values found. This can be used to label the X axis.