Collapse daily data frame down to weekly data frame in R -

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this question has answer here:

i have data frame follows: 

     office string_date     b  c   d    e 1:      11  2010-06-01    0   0  1   0    0 2:      11  2010-06-02    0   0  0   1    0 3:      11  2010-06-03    0   0  0   1    0 4:      11  2010-06-04    0   0  0   1    0 5:      11  2010-06-05    0   0  0   1    0 6:      11  2010-06-06    0   1  0   0    0 7:      11  2010-06-07    0   1  0   0    0 8:      11  2010-06-08    0   1  0   0    0 9:      11  2010-06-09    0   1  0   0    0 10:     11  2010-06-10    0   1  0   0    0 11:     11  2010-06-11    0   1  0   0    0 12:     11  2010-06-12    0   1  0   0    0

i need aggregate sums of each column week, not day listed. left each week each office, sums of each column. first line be...

office  week    b  c  d  e   11     1     0  2  1  4  0   11     2     .............

i using like: 

agg <- aggregate(list(data$a, data$b, data$c, data$d, data$e), list(office = data$office, date = data$string_date), sum)

but of course doesn't have ability collapse dates down week. also, these dates strings, not posix.

create new column called week using week function , split-apply-combine on that:

dt[,week := week(string_date)][, lapply(.sd, sum), = "office,week", .sdcols = 3:6]

or in dplyr:

library(dplyr) dt %>%   group_by(office, week = week(string_date)) %>%    summarise_each(funs(sum), -string_date)

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