在R语言的两个文件中查找匹配和相似性

Question

我有两个大文件，文件的内容如下：

df1

df2

输入

df1

structure(list(X00.00.location.long. = structure(c(1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 
7L, 7L, 7L, 7L), .Label = c("00:00,location,long|", "00:00,location,long|00:00,location,same|", 
"00:00,location,long|00:00,runapps,com.sol.sviewcall|00:00,screen,OFF|", 
"00:00,location,long|00:00,wifi,dlink, PATECH-AP|00:00,runapps,com.kakao.talk|00:00,screen,OFF|", 
"00:00,location,long|00:00,wifi,dlink, PATECH-AP|00:00,wifi,dlink, iptime|00:00,wifi,dlink|", 
"00:00,location,long|00:00,wifi,dlink|", "00:00,location,long|00:00,wifi,dlink|00:00,location,same|00:00,wifi,dlink, iptime|"
), class = "factor")), .Names = "X00.00.location.long.", class = "data.frame", row.names = c(NA, 
-183L))

df2

structure(list(X00.00.location.long. = structure(c(1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 
7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L), .Label = c("00:00,location,long|", 
"00:00,location,long|00:00,bluetooth,SCH-W860(35**)|00:00,wifi,dlink, iptime|", 
"00:00,location,long|00:00,bluetooth,SCH-W860(35**)|00:00,wifi,dlink, SK_WiFi26C4, U+zone, U+Net642B|", 
"00:00,location,long|00:00,wifi,dlink, SK_WiFi26C4|", "01:00,location,long|", 
"01:00,location,long|01:00,bluetooth,SCH-W860(35**)|01:00,screen,OFF|01:00,runapps,com.kakao.talk|", 
"01:00,location,long|01:00,bluetooth,SCH-W860(35**)|01:00,wifi,dlink, iptime, SK_WiFi26C4|01:00,wifi,dlink, iptime, PISnet_4D9740|01:00,wifi,dlink, iptime, SK_WiFi26C4, KT_WLAN_BBE3|01:00,runapps,com.buzzpia.aqua.launcher|01:00,screen,OFF|", 
"01:00,location,long|01:00,screen,OFF|", "02:00,location,long|02:00,wifi,dlink, iptime, SK_WiFi26C4|02:00,wifi,dlink, iptime, SK_WiFi26C4, KT_WLAN_BBE3|02:00,wifi,dlink, iptime, KT_WLAN_BBE3|02:00,runapps,com.kakao.talk|02:00,screen,OFF|", 
"02:00,location,long|02:00,wifi,dlink, iptime|02:00,runapps,com.buzzpia.aqua.launcher|02:00,runapps,com.android.mms|02:00,screen,OFF|"
), class = "factor")), .Names = "X00.00.location.long.", class = "data.frame", row.names = c(NA, 
-232L))

我的问题是：

我想知道所有行匹配数据的百分比，对于例如，在 df1 和 df2 之间有多少行具有相同的数据。
我想知道所有行的相似数据的百分比，一数据看起来像“00:,location,long” 我使用定界符“|”至将一个数据与其他数据分开。在这种情况下，如果 df1 中的一行和 df2 >= 75 % 相似，我认为行是相似的。例如行包含三个数据，两个数据相同，一个数据不同，即相似
我想知道df1中所有行的不同数据的百分比和 df2

所以，我想计算匹配行的百分比（df1 中有多少行与 df2 中的行匹配），以及相似行的百分比（df1 中有多少行与 df2 中的行相似），以及不同行的百分比（df1 中有多少行与 df2 中的行不同）

基础数据是df1，我的意思是我想知道有多少行与df2和df1匹配、相似或不同

我用的是R语言，我试过但卡住了。希望有人能给我一盏灯

Answer 1

我猜你的问题是找到 df2 中不在 df1 中的所有行或 df2 中 df1 中的所有行。如果你是这个意思，你可以使用 sqldf library

library(sqldf)

df2NotIndf1 <- sqldf('SELECT * FROM df2 EXCEPT SELECT * FROM df1')
df2Indf1 <- sqldf('SELECT * FROM df2 INTERSECT SELECT * FROM df1')

另一种方式，你可以使用dplyr

library(dplyr)
anti_join(df2,df1)
semi_join(df2,df1)

对于相似度，如果你想衡量两个字符串数据之间的相似度分数，你可以使用Levenshtein Distance，详见this link。您可以将其应用于您的数据框。

在R语言的两个文件中查找匹配和相似性

Find match and similarity in two of files R language

r

dataframe

compare

similarity