Hello All,
Please consider the following:
TotEmp<-c(19,6,1,1,8,44,2,33,48,1)
ClusterType<-c("AGF","CNS","OSV","RTL","RTL","TRN","REL","ACC_CLUST","RTL","WHL")
Taz<-c(0,0,0,100,100,100,101,101,102,103)
AllCtTypes_<-c("AGF","CNS","OSV","RTL","TRN","REL","ACC_CLUST","WHL","ADM_CLUST",
"HLH","HLH_CLUST","ACC","RTL_CLUST","MFG","ADM","MFG_CLUST","CNS_CLUST","PRF","PUB",
"FIN","INF_CLUST","INF","EDU_CLUST","REC","EDU",
"MNG","UTL","MIN")
#Build data frame
EmpTotCt.Zn..<-data.frame(TotEmp,ClusterType,Taz)
#Reverse rows to columns
EmpTotCt.Zn2..<-as.data.frame(t(as.matrix(EmpTotCt.Zn..)))
"EmpTotCt.Zn.." is a data frame that i would like to alter by adding new
columns and input 0s where no values exist. I tried the line below as its
the only way i know of switching columns to rows but its far from what i am
looking for. So "EmpTotCt.Zn.." returns
TotEmp ClusterType Taz
1 19 AGF 0
2 6 CNS 0
3 1 OSV 0
4 1 RTL 100
5 8 RTL 100
6 44 TRN 100
7 2 REL 101
8 33 ACC_CLUST 101
9 48 RTL 102
10 1 RTL 103
But what i want is to return the below:
AGF CNS OSV RTL RTL TRN REL ACC_CLUST
RTL
0 19 6 1 0 0 0 0 0
0
100 0 0 0 1 8 44 0 0
0
101 0 0 0 0 0 0 2 33
0
102 0 0 0 0 0 0 0 0
48
103 0 0 0 0 0 0 0 0
1
Where the rows represent "Taz" and the columns represent ALL "ClusterType"'s
found in "AllCtTypes_", this would mean that the above output example would
have many more columns with 0s in all the rows since there are no
observations. Its taken me a while to get the data into the above format
and im afraid im stuck with how to get it into the final computational
format, so hopefully someone can help.
Perhaps i have to build a blank data frame with the appropriate dimensions
first but i am not sure if this is the most efficient way of accomplishing
this.
Thanks in advance.
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