combine dataset
Something like this:
state1 <- c("CA","TX","FL","OR","GA","MN","NC")
count1 <- c(19,22,11,34,52,12,19)
percent1 <- c(0.34,0.35,0.24,0.42,0.62,0.17,0.34)
state2 <- c("FL","MN","CA","TX")
count2 <- c(22,22,11,52)
percent2 <- c(0.35,0.35,0.24,0.62)
data1 <- data.frame(state1,count1,percent1)
data2 <- data.frame(state2,count2,percent2)
datac <- data1
m <- match(data1$state1,data2$state2,0)
datac$count2 <- ifelse(m==0,0,data2$count2[m])
datac$percent2 <- ifelse(m==0,0,data2$percent2[m])
If you didn't want to keep all the rows in both data sets (but just the
shared rows) you could use
merge(data1,data2,by=1)
It might be possible to hack "merge.data.frame" to do this.
On Fri, 16 Mar 2001, Yu-Ling Wu wrote:
Hi, I have two data sets look like below: ========================== state count1 percent1 CA 19 0.34 TX 22 0.35 FL 11 0.24 OR 34 0.42 GA 52 0.62 MN 12 0.17 NC 19 0.34 state count2 percent2 FL 22 0.35 MN 22 0.35 CA 11 0.24 TX 52 0.62 ========================== How to combine these two data set and make it look like below? Thanks in advance! ====================================== state count1 percent1 count2 percent2 CA 19 0.34 11 0.24 TX 22 0.35 52 0.62 FL 11 0.24 22 0.35 OR 34 0.42 0 0 GA 52 0.62 0 0 MN 12 0.17 22 0.35 NC 19 0.34 0 0 ======================================
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