R等同于SAS的“输入”数据集选项，用于包括和排除重叠数据

Question

I'm usually a SAS user but was wondering if there was a similar way in R to list data that can only be found in one data frame after merging them. In SAS I would have used

data want;
    merge have1 (In=in1) have2 (IN=in2) ;
    if not in2;
run;

to find the entries only in have1. My R code is:

inner <- merge(have1, have2, by= "Date", all.x = TRUE, sort = TRUE)

I've tried setdiff() and antijoin() but neither seem to give me what I want. Additionally, I would like to find a way to do the converse of this. I would like to find the entries in have1 and have2 that have the same "Date" entry and then keep the remaining variables in the 2 data frames. For example, consider have1 with columns "Date", "ShotHeight", "ShotDistance" and have2 with columns "Date", "ThrowHeight", "ThrowDistance" so that the m]new dataframe, call it "new" has columns "Date", ShotHeight", "ShotDistance", "ThrowHeight", "ThrowDistance".

Answer 1

Assuming only one by-variable, the simplest solution is not to merge at all:

want <- subset(have1, !(county %in% have2$county))

This subsets have1 to exclude rows where the value of county is in have2 .