Hi I have two data set where the first one is a set of index:
ind1<-rep(c("E","W"), times=20)
ind2<-sample(100:150, 40)
y<-c(1:40)
index<-data.frame(cbind(ind1, ind2, y))
The second data set is the one needs to be indexed.
x1<-sample(c("E","W","N"), 40, replace=TRUE)
x2<-sample(100:150, 40)
x3<-rep(0, times=40)
data<-data.frame(cbind(x1,x2,x3))
I would like indicate in x3
where the x1
and x2
in data
to be matched with ind1
and ind2
in index
respectively and return the corresponding y
.
index1<-split(index, index$ind1)
data1<-split(data, data$x1)
data1$E$x3<-match(data1$E$x2, index1$E$ind2)
data1$W$x3<-match(data1$W$x2, index1$W$ind2)
It kinda matched the way I wanted but did not return y
correctly. Which part I did wrong?
Thanks.
Also, is there a faster/smarter way of doing it? Because I might have more conditions to match with. Originally I tried if else statement but didn't work.
merge(data, index, by.x=c("ind1", "ind2"), by.y=c("x1", "x2"), all.x=TRUE, all.y=FALSE)
will give you the x
and y
values for each matching combination of ind1
and ind2
, and x1
and x2
. All combinations of x1
and x2
will be kept (even if that combination of ind1
and ind2
doesn't occur in index
, but combinations of ind1
and ind2
that don't occur in data
will be dropped. As written, the solution will keep x3
and y
values, but if you'd like to drop the y
values you can use merge(data[ ,-3], ...
as per @Ferdinand.kraft 's suggestion.
There are many ways to approach this, and it really depends on the characteristics of your data. Here is the most direct matching approach:
Pasting: The 'paste' function allows you to create a string from multiple pieces of data. If you are a matching between data sets using columns that have identical matches, you can simply paste the columns together and compare directly using a 'match' statement, like so:
new_data <- data
new_data$x3 <- ifelse(
is.na(match(paste(data$x1, data$x2), paste(index$ind1, index$ind2))),
0,
index$y)
The match statement here compares exact matches between x1+x2 and ind1+ind2 pairs and returns an integer indicating which index pair location corresponds to each data row. If no match is found, NA is returned. By checking for NA in an 'ifelse' statement, we then write zeros for the NA values and return the corresponding y value for any matches.
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