r - How to display plant species biomass in a site by species matrix? -

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i earlier asked "how display 2 columns binary (presence/absence) matrix?". question received 2 excellent answers. take step further , add third column original site species columns reflects biomass of each species in each plot.

column 1 (plot) specifies code ~ 200 plots, column 2 (species) specifies code ~ 1200 species , column 3 (biomass) specifies dryweight. each plot has > 1 species , each species can occur in > 1 plot. total number of rows ~ 2700.

> head(dissim)     plot species biomass 1 a1f56r  jactom 20.2 2 a1f56r  zinunk 10.3 3 a1f56r  mikcor 0.4 4 a1f56r  rubcle 1.3 5 a1f56r  sphoos 12.4 6 a1f56r nepbis1 8.2  tail(dissim)            plot species biomass 2707 og100m562r  selcup 4.7 2708 og100m562r  pip139 30.5 2709 og100m562r  stasum 0.1 2710 og100m562r  artani 3.4 2711 og100m562r  annunk 20.7 2712 og100m562r  rubunk 22.6

i create plot species matrix displays biomass of each species in each plot (rather binary presence/absence matrix), of form:

    jactom  rubcle  chrodo  uncgla a1f56r  1.3 0   10.3    0 a1f17r  0   22.3    0   4 a1m5r   3.2 0   3.7 9.7 a1m5r   1   0   0   20.1 a1m17r  5.4 6.9 0   1

any advice on how add additional level of complexity appreciated.

the xtabs , tapply functions return table matrix:

# using mrflick's example > xtabs(~a+b,dd)    b   f g h j   0 1 0 2 3   b 0 0 2 1 0   c 0 3 0 0 1   d 2 2 2 1 1   e 1 1 2 4 1  # --- tapply solution bit less elegant > dd$one=1 > with(dd, tapply(one, list(a,b), sum))    f  g  h   j na  1 na  2  3 b na na  2  1 na c na  3 na na  1 d  2  2  2  1  1 e  1  1  2  4  1  # if want make na's become zeros then:  > tbl <- with(dd, tapply(one, list(a,b), sum)) > tbl[is.na(tbl)] <- 0 > tbl   f g h j 0 1 0 2 3 b 0 0 2 1 0 c 0 3 0 0 1 d 2 2 2 1 1 e 1 1 2 4 1

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