If I understand you correctly, you already pre-computed the frequencies
and bin widths and want to display them as a histogram. If correct, then
what you are asking for is analogous to what bxp() is to boxplot. I am
not sure if such a function exists.
Instead you can think of the task as drawing a bunch of rectangles
(perhaps using symbols?). Or you can hack the hist() code and try
br <- c(0,20,30,40,50,60,70,80,100)
dens <- runif( length(br) - 1 )
r <- structure(list(breaks = br, density = dens),
class = "histogram")
plot(r, main="Felipe's Histogram")
However, I do emphasize that this is a hack. If you have the original
data that you used to calculate the densities, consider using the breaks
argument with hist(). It is better to use tried and tested codes.
Regards, Adai
Felipe wrote:> i calculated the density and wanna do something like this
>
> separate in 0-19-29-39-49-59-69-79-99
> and put in these spaces 8 densities .. 0.something
> i have the frequency in % and divided already in 20 or 10 to get the
density
>
> i tried and tried..made breaks vector to separate but couldn't put the
other
> vector with the frequency density onit directly
>
> anyone know how to do it??
>
> tks
>
> [[alternative HTML version deleted]]
>
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