此问题与具有相似标题（replace NA in an R vector with adjacent values）的帖子有关。我想扫描数据框中的列，并将NA替换为相邻单元格中的值。在上述帖子中，解决方案是不用来自相邻矢量的值（例如数据矩阵中的相邻元素）替换NA，而是用于固定值的条件替换。以下是我的问题的可重现的例子：
UNIT <- c(NA,NA, 200, 200, 200, 200, 200, 300, 300, 300,300)
STATUS <-c('ACTIVE','INACTIVE','ACTIVE','ACTIVE','INACTIVE','ACTIVE','INACTIVE','ACTIVE','ACTIVE',
'ACTIVE','INACTIVE')
TERMINATED <- c('1999-07-06' , '2008-12-05' , '2000-08-18' , '2000-08-18' ,'2000-08-18' ,'2008-08-18',
'2008-08-18','2006-09-19','2006-09-19' ,'2006-09-19' ,'1999-03-15')
START <- c('2007-04-23','2008-12-06','2004-06-01','2007-02-01','2008-04-19','2010-11-29','2010-12-30',
'2007-10-29','2008-02-05','2008-06-30','2009-02-07')
STOP <- c('2008-12-05','4712-12-31','2007-01-31','2008-04-18','2010-11-28','2010-12-29','4712-12-31',
'2008-02-04','2008-06-29','2009-02-06','4712-12-31')
TEST＆lt; - data.frame（UNIT，STATUS，TERMINATED，START，STOP） 测试
UNIT STATUS TERMINATED START STOP
1 NA ACTIVE 1999-07-06 2007-04-23 2008-12-05
2 NA INACTIVE 2008-12-05 2008-12-06 4712-12-31
3 200 ACTIVE 2000-08-18 2004-06-01 2007-01-31
4 200 ACTIVE 2000-08-18 2007-02-01 2008-04-18
5 200 INACTIVE 2000-08-18 2008-04-19 2010-11-28
6 200 ACTIVE 2008-08-18 2010-11-29 2010-12-29
7 200 INACTIVE 2008-08-18 2010-12-30 4712-12-31
8 300 ACTIVE 2006-09-19 2007-10-29 2008-02-04
9 300 ACTIVE 2006-09-19 2008-02-05 2008-06-29
10 300 ACTIVE 2006-09-19 2008-06-30 2009-02-06
11 300 INACTIVE 1999-03-15 2009-02-07 4712-12-31
#using the syntax for a conditional replace and hoping it works :/
TEST$UNIT[is.na(TEST$UNIT)] <- TEST$STATUS; TEST
UNIT STATUS TERMINATED START STOP
1 1 ACTIVE 1999-07-06 2007-04-23 2008-12-05
2 2 INACTIVE 2008-12-05 2008-12-06 4712-12-31
3 200 ACTIVE 2000-08-18 2004-06-01 2007-01-31
4 200 ACTIVE 2000-08-18 2007-02-01 2008-04-18
5 200 INACTIVE 2000-08-18 2008-04-19 2010-11-28
6 200 ACTIVE 2008-08-18 2010-11-29 2010-12-29
7 200 INACTIVE 2008-08-18 2010-12-30 4712-12-31
8 300 ACTIVE 2006-09-19 2007-10-29 2008-02-04
9 300 ACTIVE 2006-09-19 2008-02-05 2008-06-29
10 300 ACTIVE 2006-09-19 2008-06-30 2009-02-06
11 300 INACTIVE 1999-03-15 2009-02-07 4712-12-31
结果应该是：
UNIT STATUS TERMINATED START STOP
1 ACTIVE ACTIVE 1999-07-06 2007-04-23 2008-12-05
2 INACTIVE INACTIVE 2008-12-05 2008-12-06 4712-12-31
3 200 ACTIVE 2000-08-18 2004-06-01 2007-01-31
4 200 ACTIVE 2000-08-18 2007-02-01 2008-04-18
5 200 INACTIVE 2000-08-18 2008-04-19 2010-11-28
6 200 ACTIVE 2008-08-18 2010-11-29 2010-12-29
7 200 INACTIVE 2008-08-18 2010-12-30 4712-12-31
8 300 ACTIVE 2006-09-19 2007-10-29 2008-02-04
9 300 ACTIVE 2006-09-19 2008-02-05 2008-06-29
10 300 ACTIVE 2006-09-19 2008-06-30 2009-02-06
11 300 INACTIVE 1999-03-15 2009-02-07 4712-12-31
答案 0 :(得分：25)
它不起作用，因为地位是一个因素。当您将因子与数字混合时，数字是限制性最小的。通过强制状态为字符，您可以得到您所追求的结果，并且该列现在是一个字符向量：
TEST$UNIT[is.na(TEST$UNIT)] <- as.character(TEST$STATUS[is.na(TEST$UNIT)])
## UNIT STATUS TERMINATED START STOP
## 1 ACTIVE ACTIVE 1999-07-06 2007-04-23 2008-12-05
## 2 INACTIVE INACTIVE 2008-12-05 2008-12-06 4712-12-31
## 3 200 ACTIVE 2000-08-18 2004-06-01 2007-01-31
## 4 200 ACTIVE 2000-08-18 2007-02-01 2008-04-18
## 5 200 INACTIVE 2000-08-18 2008-04-19 2010-11-28
## 6 200 ACTIVE 2008-08-18 2010-11-29 2010-12-29
## 7 200 INACTIVE 2008-08-18 2010-12-30 4712-12-31
## 8 300 ACTIVE 2006-09-19 2007-10-29 2008-02-04
## 9 300 ACTIVE 2006-09-19 2008-02-05 2008-06-29
## 10 300 ACTIVE 2006-09-19 2008-06-30 2009-02-06
## 11 300 INACTIVE 1999-03-15 2009-02-07 4712-12-31
答案 1 :(得分：9)
你必须做
TEST$UNIT[is.na(TEST$UNIT)] <- TEST$STATUS[is.na(TEST$UNIT)]
以便将值替换为相邻值。否则，要替换的值的数量与替换它们的值之间存在不匹配。这将导致值按行顺序替换。它适用于这种情况，因为被替换的两个值是前两个。
答案 2 :(得分：0)
TEST$UNIT = ifelse(is.na(TEST$UNIT), paste(TEST$STATUS),paste(TEST$UNIT));TEST
UNIT STATUS TERMINATED START STOP
1 ACTIVE ACTIVE 1999-07-06 2007-04-23 2008-12-05
2 INACTIVE INACTIVE 2008-12-05 2008-12-06 4712-12-31
3 200 ACTIVE 2000-08-18 2004-06-01 2007-01-31
4 200 ACTIVE 2000-08-18 2007-02-01 2008-04-18
5 200 INACTIVE 2000-08-18 2008-04-19 2010-11-28
6 200 ACTIVE 2008-08-18 2010-11-29 2010-12-29
7 200 INACTIVE 2008-08-18 2010-12-30 4712-12-31
8 300 ACTIVE 2006-09-19 2007-10-29 2008-02-04
9 300 ACTIVE 2006-09-19 2008-02-05 2008-06-29
10 300 ACTIVE 2006-09-19 2008-06-30 2009-02-06
11 300 INACTIVE 1999-03-15 2009-02-07 4712-12-31