I have the raw data with 9 column and 197977 row:
> dummy
State Months Bedroom
1 xxx Jan 1
2 xxx Jan 2
3 xxx Jan 1
4 yyy Jan 1
5 yyy Jan 2
6 yyy Jan 1
7 zzz Jan 3
8 zzz Jan 1
9 zzz Jan 2
10 xxx Feb 3
11 xxx Feb 4
12 xxx Feb 2
13 yyy Feb 1
14 yyy Feb 2
15 yyy Feb 1
16 zzz Feb 2
17 zzz Feb 3
18 zzz Feb 3
> dim(rawdata)
[1] 197977 9
I want to do some calculation on the "State" "Months" "Bedroom". So I am
picking only three column using subset.
> subsets.dummy <- subset(dummy, select=c("State","Months","Bedroom"))
> subsets.dummy
State Months Bedroom
1 xxx Jan 1
2 xxx Jan 2
3 xxx Jan 1
4 yyy Jan 1
5 yyy Jan 2
6 yyy Jan 1
7 zzz Jan 3
8 zzz Jan 1
9 zzz Jan 2
10 xxx Feb 3
11 xxx Feb 4
12 xxx Feb 2
13 yyy Feb 1
14 yyy Feb 2
15 yyy Feb 1
16 zzz Feb 0
17 zzz Feb 3
18 zzz Feb 3
>From the above data. I want below table for 1,2,3,4.... Bedroom.
Ex : for 1 Bedroom, I need how may(count of 1 Bedroom) 1 Bedroom is there in
a particular state for month wise.
State Jan Feb
xxx 2 0
yyy 2 2
zzz 1 0
for 2 Bedroom :
State Jan Feb
xxx 1 1
yyy 1 1
zzz 1 0
I want to melt "subsets.dummy" data for the above requirement. To achive
this I am doing like this:
>
melt.data.frame(subsets.dummy,id.vars=c("State","Bedroom"),measure.vars="Months")
State Bedroom variable value
1 xxx 1 Months Jan
2 xxx 2 Months Jan
3 xxx 1 Months Jan
4 yyy 1 Months Jan
5 yyy 2 Months Jan
6 yyy 1 Months Jan
7 zzz 3 Months Jan
8 zzz 1 Months Jan
9 zzz 2 Months Jan
10 xxx 3 Months Feb
11 xxx 4 Months Feb
12 xxx 2 Months Feb
13 yyy 1 Months Feb
14 yyy 2 Months Feb
15 yyy 1 Months Feb
16 zzz 2 Months Feb
17 zzz 3 Months Feb
18 zzz 3 Months Feb
I trying to get a new data frame for 1 bedroom using cast. But I am not able
to get the below data for 1 Bedroom using cost.
State Jan Feb
xxx 2 0
yyy 2 2
zzz 1 0
I not able to understand how to cost it. any help will be greatly
appreciated.
Thanks & Rg
Mohan L
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