1、创建测试数据：
name <- c('A','B','A','A','C','D')
school <- c('s1','s2','s1','s1','s1','s3')
class <- c(10, 5, 4, 11, 1, 8)
English <- c(85, 50, 90 ,90, 12, 96)
w <- data.frame(name, school, class, English)
w
name <- c('A','B','C','F')
school <- c('s3','s2','s1','s2')
class <- c(5, 5, 1,3)
maths <- c(80,89,55,90)
English <- c(88, 89, 32, 89)
q <- data.frame(name, school, class, maths, English)
q
2、查看两个数据框
w
q
3、指定匹配列进行合并（按照行合并）
merge(w,q,by.x = 'name', by.y = 'name')
w
q
merge(w,q,by.x = 'school', by.y = 'school')
4、指定匹配列合并，没有的内容填充为NA
w
q
merge(w, q, all=TRUE, sort=TRUE)
5、依照左侧数据进行匹配
w
q
merge(w ,q ,all.x=TRUE,sort=TRUE)
w
q
merge(w, q, by = 'name',all.x = TRUE, sort = TRUE)
6、依照右侧数据进行匹配
w
q
merge(w ,q ,by = 'name', all.y=TRUE,sort=TRUE)
