R - How to select dominant b1-value and count(b2) and make b2 values column headings -


sample data:

a <- as.data.frame(matrix(list(1,1,3,4,1,1,3,4,1,1,3,4,1,1,3,4,1,1,3,4),4,5))  b1 <-c(30,40,20,15) b2<-c("a","a","b","c") b <-as.data.frame(cbind(b1,b2))  a.b<-cbind(a,b)

inital value: a.b

    row v1 v2 v3 v4 v5 b1 b2     1  1  1  1  1  1 30      2  1  1  1  1  1 40      3  3  3  3  3  3 20  b     4  4  4  4  4  4 15  c

what see v1, v2, v3, v4, v5, b1 max(b1), a, b, c there should 3 rows:

    row v1 v2 v3 v4 v5 b1 b c     1  1  1  1  1  1 40  2  0 0      3  3  3  3  3  3 20  0  1 0     4  4  4  4  4  4 15  0  0 1

how go getting that. have thought of aggregate, cast, , reshape, have run difficulty. thks.

this looks lapply(split(...)) problem. untested , assumes not use as.data.frame(cbind(...))

lapply(split(df, df[2:6]), function (d){                     cbind( max( d[7]), table(d[8]) )})

the reason not use character comparison "4" > "15" returns true.


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