我有两个数据帧，我想将数据帧and对与数据帧b对进行比较，并查看a中的数据对是否在（包含）范围内b中的配对/范围。例如，请参见下文：
a我已经完成了Stack Overflow的挖掘工作，除了this listing之外什么都没有。但是此人正在将单个值与成对进行比较，而不是将成对的成对或成对的成对进行比较。我对两个数据框都进行了df_1 <- data.frame(x= c(-82.38319, -82.38318, -82.40397, -82.40417, -82.40423),
y= c(29.61212, 29.61125, 29.61130, 29.61134, 29.61167))
#Output:
# x y
# 1 -82.38319 29.61212
# 2 -82.38318 29.61125
# 3 -82.40397 29.61130
# 4 -82.40417 29.61134
# 5 -82.40423 29.61167
df_2 <- data.frame(o= c(-82.38320,-82.38317,-82.40397,-82.40416,-82.40424),
t= c(29.61212, 29.6114, 29.61130, 29.61133, 29.61167))
#Output:
# o t
# 1 -82.38320 29.61212
# 2 -82.38317 29.61140
# 3 -82.40397 29.61130
# 4 -82.40416 29.61133
# 5 -82.40424 29.61167
#made this dataframe as an example only.
desired_output <- data.frame(lat= df_2$o, lon= df_2$t, exists= c(NA, "YES","YES","YES",NA))
#Output I seek:
# lat lon exists
# 1 -82.38320 29.61212 <NA>
# 2 -82.38317 29.61140 YES
# 3 -82.40397 29.61130 YES
# 4 -82.40416 29.61133 YES
# 5 -82.40424 29.61167 <NA>
#explanation:
#1- even though 82.38320 is OK & is in rows 3,4,5 in df_1, 29.61212 is out of bounds with their co-pairings.
#2- row 2 of df_2 is within the row 5 of df_1.
#3- row 3 of df_2 matches to row 3 of df_1 thus inclusive
#4- row 4 pair matches and its co_pair is less than those pair of row 4 in df_1
#5- This pair at row 5 is out of bounds in all of the rows of df_1
#Column "exists" can be appended to dataframe b, result matters only, neatness is not an issue.
的使用，并进行了比较。但是我失败了。
接下来我可以尝试什么？
答案 0 :(得分：3)
我们可以使用mapply将o的{{1}}和t值与df_2进行比较，并检查df_1的值是否为范围和相应地分配any或"YES"。
NA答案 1 :(得分：1)
我们可以在data.table中使用非等分联接
library(data.table)
setDT(df_2)[df_1, exists := "YES", on = .(o >= x, t < y), mult = 'first']