R：转换电子邮件地址为唯一整数

Question

[R初学者用什么似乎是一个非常简单的问题： 我有一些电子邮件的日志，我已经在格式读入R：

>log1 
    Date  Time   From     To 
1 2000-01-01 00:00:00 bob@mail.com   test1@mail.com 
2 2000-01-02 01:00:00 carolyn @mail.com  test2@mail.com 
3 2000-01-03 02:00:00 chris@mail.com   test3@mail.com 
4 2000-01-04 03:00:00 chris @mail.com   test4@mail.com 
5 2000-01-05 04:00:00 alan@mail.com   test5@mail.com 
6 2000-01-06 05:00:00 alan.@mail.com   test6@mail.com 

我需要要将log1 $ From和log1 $ To更改为全局唯一数字标识符，以便稍后在其他日志中读取任何给定电子邮件地址时将收到与先前日志相同的标识符。

我曾尝试：

id <- as.numeric(as.character(log1[,3]))) 
id<-as.numeric(levels(log1[,3]))) 
id <- charToRaw(log1[,4]), base=16) 

会某种灵魂请帮我 - 谢谢！

道歉或许应该已经包括此：

Date=c("01/01/2000" ,"02/01/2000" ,"03/01/2000", "04/01/2000" ,"05/01/2000" ,"06/01/2000","07/01/2000","08/01/2000", 
    "09/01/2000","10/01/2000","11/01/2000", "12/01/2000" ,"13/01/2000", "14/01/2000", "15/01/2000","16/01/2000" 
    ,"17/01/2000","18/01/2000","19/01/2000","20/01/2000","01/01/2000","02/01/2000") 
    Time=c("00:00:00","01:00:00","02:00:00", "03:00:00" ,"04:00:00" ,"05:00:00", "06:00:00" ,"07:00:00", "08:00:00", "09:00:00" ,"10:00:00", 
    "11:00:00", "12:00:00","13:00:00", "14:00:00","15:00:00","16:00:00","17:00:00","18:00:00","19:00:00","00:00:00" ,"00:00:00") 
    From=c("bob.shults@mail.com","carolyn.green@mail.com","chris.long@mail.com","christi.nicolay@mail.com","alan.aronowitz@mail.com","alan.comnes@mail.com", 
    "dab@sprintmail.com","ana.correa@mail.com","andrew.fastow@mail.com","elena.kapralova@mail.com","bob.shults@mail.com","carolyn.green@mail.com", 
    "chris.long@mail.com","christi.nicolay@mail.com","alan.aronowitz@mail.com","alan.comnes@mail.com","dab@sprintmail.com","ana.correa@mail.com", 
    "andrew.fastow@mail.com","elena.kapralova@mail.com","bob.shults@mail.com","bob.shults@mail.com") 
    To=c("ana.correa@mail.com","test2@mail.com","test3@mail.com","test4@mail.com","test5@mail.com","test6@mail.com","test7@mail.com", 
    "test8@mail.com","test9@mail.com","test10@mail.com","test11@mail.com","test12@mail.com","test13@mail.com","test14@mail.com", 
    "test15@mail.com","test16@mail.com","test17@mail.com","test18@mail.com","test19@mail.com","test20@mail.com","ana.correa@mail.com","ana.correa@mail.com") 
    log<-data.frame(Date=Date,Time=Time,From=From,To=To) 

在尝试使用MD5生成全局唯一标识符：注意ana.correa@mail.com标识符是如何内ID_to正确的比赛，但不在范围在水平/因子方法ID_from

ID_to<-data.frame() 
    ID_from<-data.frame() 

    for (i in 1:nrow(log)){ 
    to<-as.numeric(paste('0x', substr(rep(hmac('secret',log[i,4], algo='md5'), 2), c(1, 9, 17, 25), c(8, 16, 24, 32)),sep="")) 
    (ID_to<-rbind(ID_to,to)) 

    from<-as.numeric(paste('0x', substr(rep(hmac('secret',log[i,3], algo='md5'), 2), c(1, 9, 17, 25),c(8, 16, 24, 32)),sep="")) 
    (ID_from<-rbind(ID_from,from)) 

    } 

    ID_to[,3]<-paste(ID_to[,1],ID_to[,2], sep="") 
    ID_from[,3]<-paste(ID_from[,1],ID_from[,2], sep="") 

    edgelist<-data.frame(ID_from[,3],log[,3],ID_to[,3],log[,4],log[,1],log[,2]) 
    print(edgelist) 
    ID_from...3.     log...3.   ID_to...3.   log...4. log...1. log...2. 
    27488842661591306920  bob.shults@mail.com 18727221862165338513 ana.correa@mail.com 01/01/2000 00:00:00 
    38124472891255273775 carolyn.green@mail.com 1251903296725454474  test2@mail.com 02/01/2000 01:00:00 
    29070047663451376630  chris.long@mail.com 17074276751156451031  test3@mail.com 03/01/2000 02:00:00 
    8261398433828474582 christi.nicolay@mail.com 1563683670909194033  test4@mail.com 04/01/2000 03:00:00 
    18727221862165338513 alan.aronowitz@mail.com 26735368323826533112  test5@mail.com 05/01/2000 04:00:00 
    5680838251168988404  alan.comnes@mail.com 2923605896229594830  test6@mail.com 06/01/2000 05:00:00 
    2351312285811012730  dab@sprintmail.com 17171333544033270402  test7@mail.com 07/01/2000 06:00:00 
    328278708432069254  ana.correa@mail.com 33840664403556851587  test8@mail.com 08/01/2000 07:00:00 
    1127901879852039037 andrew.fastow@mail.com 1973548136161209824  test9@mail.com 09/01/2000 08:00:00 
    7349515121496417787 elena.kapralova@mail.com 5680838251168988404  test10@mail.com 10/01/2000 09:00:00 
    27488842661591306920  bob.shults@mail.com 328278708432069254  test11@mail.com 11/01/2000 10:00:00 
    38124472891255273775 carolyn.green@mail.com 1127901879852039037  test12@mail.com 12/01/2000 11:00:00 
    29070047663451376630  chris.long@mail.com 27488842661591306920  test13@mail.com 13/01/2000 12:00:00 
    8261398433828474582 christi.nicolay@mail.com 38124472891255273775  test14@mail.com 14/01/2000 13:00:00 
    18727221862165338513 alan.aronowitz@mail.com 29070047663451376630  test15@mail.com 15/01/2000 14:00:00 
    5680838251168988404  alan.comnes@mail.com 8261398433828474582  test16@mail.com 16/01/2000 15:00:00 
    2351312285811012730  dab@sprintmail.com 2351312285811012730  test17@mail.com 17/01/2000 16:00:00 
    328278708432069254  ana.correa@mail.com 7349515121496417787  test18@mail.com 18/01/2000 17:00:00 
    1127901879852039037 andrew.fastow@mail.com 41762759923562968495  test19@mail.com 19/01/2000 18:00:00 
    7349515121496417787 elena.kapralova@mail.com 24894056753582090007  test20@mail.com 20/01/2000 19:00:00 
    27488842661591306920  bob.shults@mail.com 18727221862165338513 ana.correa@mail.com 01/01/2000 00:00:00 
    27488842661591306920  bob.shults@mail.com 18727221862165338513 ana.correa@mail.com 02/01/2000 00:00:00 

尝试：

获得一个错误：

log <- union(levels(log[,3]), levels(log[,4])) 
>Error in emails[, 3] : incorrect number of dimensions 

Answer 1

您需要为日志中的每封电子邮件创建唯一的ID。一种方法是计算每封电子邮件的crc校验和，并将其用作标识符，但数字会很长。或者你可以在R中实现一个HashMap，并将该电子邮件作为HashMap的关键字。

Answer 2

您可以使用MD5生成全局唯一标识符，因为它的冲突概率非常低，但由于其输出为128位，因此需要一些数字来表示它（32位R中有4个整数，两个整数在64位R中）。不过，这应该很容易处理使用短数字向量。

这里是你如何生成的电子邮件地址这样的四个整数向量（或任何其他字符串为此事）：

library(digest) 
email <- 'test1@gmail' 
as.numeric(paste('0x', substr(rep(hmac('secret56f8a7', email, algo='md5'), 4), c(1, 9, 17, 25), c(8, 16, 24, 32)), sep='')) 

你可以使用algo='crc32'和只获得一个整数，但是这个ISN我们不建议这样做，因为碰撞比CRC更有可能。

Answer 3

我认为这会做你想要什么，这是有效的，你可以只使用基础包做...

步骤：

1.Convert的两列因素

2.以完全相同的方式联合因素级别，以便每个电子邮件在因素级别中都有唯一的ID。

3.将每列中的条目更改为与其因子级别对应的数字。因此，我们可以通过简单地在两栏中查找“1”来识别“test1@gmail.com”发送和接收电子邮件的时间。

log1$From <- as.factor(log1$From) 
log1$To <- as.factor(log1$To) 
emails <- union(levels(log1$From), levels(log1$To)) 
levels(log1$From) <- emails 
levels(log1$To) <- emails 
log1$From <- as.numeric(log1$From) 
log1$To <- as.numeric(log1$To) 

如我在这里所做的那样，保留原始电子邮件地址的记录可能是一个好主意。然后，如果你有兴趣，比如发送哪些邮件test1@gmail.com：

log1[log1$From == which(emails == "test1@gmail.com"), ] 

应该这样做！你可以编写一个程序，使它看起来更清洁...