Display a weighted histogram
Calculate the counts of the weighted values in specified bins and optionally display either a frequency or density histogram.
weighted.hist(x,w,breaks="Sturges",col=NULL,plot=TRUE, freq=TRUE,ylim=NA,ylab=NULL,xaxis=TRUE,...)
x |
A vector of numeric values |
w |
A vector of weights at least as long as x. |
breaks |
The endpoints of the ranges into which to count the weighted values. |
col |
An optional vector of colors for the bars of the histogram. |
plot |
Whether to plot a histogram. |
freq |
Whether to plot counts or densities. |
ylim |
The limits of the plot ordinate. |
ylab |
Label for the ordinate. |
xaxis |
Whether to display an X axis. |
... |
additional arguments passed to barplot. |
weighted.hist calculates the weighted counts of values falling into the ranges specified by breaks. Instead of counting each value as 1, it counts the corresponding value in w (the weight).
breaks may be specified by a monotonically increasing vector of numbers that are interpreted as the endpoints of the ranges, a single number representing the number of ranges desired or the name of the function to calculate the ranges (see hist). If a vector of numbers is passed that does not include all values in x, the user is warned.
A list containing:
breaks - The endpoints of the intervals
counts - The weighted counts
density - The weighted counts divided by their sum.
mids - The midpoints of the intervals and the bars displayed.
xname - the name of x.
Jim Lemon and Hadley Wickham - thanks to Ben Graf for asking for a custom x axis option and Martin Maechler for fixing the barplot problem
testx<-sample(1:10,300,TRUE) testw<-seq(1,4,by=0.01) weighted.hist(testx,testw,breaks=1:10,main="Test weighted histogram")
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