[R] breaking multi-modal histograms down into combinations of unimodal distributions

[Thomas Groen]

Dear All,

Does anybody know if there is a functionality in R to break histograms
that show a clear bi-modal (or multi-modal) distribution into a series
of unimodal histograms that added up result in the original histogram?
I was thinking of using QQ-plots (for which tools are available in R),
and then observing the number of times the observed quantiles cross
the 1:1 line, but this only gives an indication of  how many "peaks"
the current histogram has. Therefore I was wondering whether other
approaches exist.

Thanks in advance for any suggestions.

p.s. also thanks to those who helped me on my previous question on
Modelling different combinations of explanatory variables. The leaps
package and the regsubsets command worked really well!