Reputation: 739
How to subset two files based on one column in common?
I have two text files that have one column with same structure, which is a date
year-m-d
.
> head(wg)
date valu1
40034 2008-01-01 0.323
40058 2008-01-02 0.314
> head(reg)
date dval
1 2008-01-01 0.225
2 2008-01-02 0.235
To read one file:
wg= read.table("C:\\Users\\wg.txt", sep ='' , header =TRUE)
But one of the two files has some dates missing so the number of rows is different between wg
and reg
and I cannot do any calculation. Now what I need is to subset wg and reg
where they are both available (based on date
) ,as a result, both wg
and reg
have the same date and number of rows. I appreciate any help.
Upvotes: 1
Views: 169
Reputation: 4921
Data example
A<-as.Date(c("2008-01-01", "2008-01-02", "2008-01-03"))
valA<-as.numeric(c(0.333, 0.232, 0.123))
B<-as.Date(c("2008-01-01", "2008-01-02", "2008-01-04"))
valB<-as.numeric(c(0.225, 0.124, 0.345))
wg<-data.frame(A, valA)
reg<-data.frame(B, valB)
v1<-wg$A %in% reg$B
The selected rows for wg:
wg[v1, ]
To get the row numbers for reg you need to run the %in% the other way around
Upvotes: 3