That gave me simply 10's on the diagonals of the table and the plot was
not very satisfying. I suggest this alternate example:
tbl<-r2dtable(1,c=4*c(15,12,8,5),r=4*c(20,10,5,5))
tbl
#[[1]]
# [,1] [,2] [,3] [,4]
#[1,] 27 23 21 9
#[2,] 18 11 5 6
#[3,] 8 6 2 4
#[4,] 7 8 4 1
# > class(tbl)
# [1] "list"
ITS=factor(rep(LETTERS[1:4]))
DMS=factor(rep(LETTERS[1:4]))
df<-data.frame(counts=unlist(tbl),expand.grid(DMS,ITS))
names(df)<-c("counts","DMS", "ITS")
df
(df.tbl<-xtabs(counts~DMS+ITS,df))
# ITS
#DMS A B C D
# A 27 23 21 9
# B 18 11 5 6
# C 8 6 2 4
# D 7 8 4 1
plot(df.tbl)