r - Count of samples and presenting results based on several attributes within data -


this question has answer here:

i have data frame of attributes associated loans have been approved, pending review or have been declined. 1 of attribute fields in data frame town loan application originated. to create new matrix has town names in rows , count of how many loans have been approved, pending review or declined in columns. here illustrative data:

town<-c("andover","cheshire", "andover", "burlington", "albany", "cheshire") status<-c("approved","declined", "pending", "pending", "approved", "declined") applicationyear<-c(2013,2015,2014,2014,2015,2013) data<-data.frame(cbind(town,status,applicationyear))       town   status applicationyear 1    andover approved            2013 2   cheshire declined            2015 3    andover  pending            2014 4 burlington  pending            2014 5     albany approved            2015 6   cheshire declined            2013

i able arrange counts of loans status , town using table "for" each status type , cbind. 

approved<-table(data[data$status=="approved",]$town) declined<-table(data[data$status=="declined",]$town) pending<-table(data[data$status=="pending",]$town) cbind(approved,declined,pending)            approved declined pending albany            1        0       0 andover           1        0       1 burlington        0        0       1 cheshire          0        2       0

however, find more elegant , shorter way obtain same result using or command.

use table function, whole columns:

table(data$town, data$status)

i think easiest way.


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