使用dplyr创建一个新变量,其中,基于一个变量是否具有特定值,而上一个或下一个值在R中是否具有不同的值

我有这样的数据

df <- data.frame(
ID = c(rep("A12345",5), rep("A23456",10), rep("A34567",5), "A45678", "A67891", rep("A78910",8), "A91011", 
       rep("A10111",4), rep("A11121",3), "A12131", "A16731"),
medication = c(rep("colchicine",5), rep("febuxosat",9), "hosps", rep("colchicine",5), "hosps", "colchicine", 
              rep("allopurinol",8), "allopurinol", 
              rep("colchicine",3), "hosps", rep("colchicine",3), "colchicine", "allopurinol"),
Date = c("2004-12-08", "2005-01-28", "2005-07-15", "2005-08-23", "2005-11-30", "2007-02-01", "2007-07-20", "2014-06-03", 
         "2008-04-17",
         "2008-12-19", "2009-09-09", "2010-02-24", "2010-11-01", "2010-12-03", "2011-08-10", "2012-11-05", "2012-12-17", 
         "2012-12-19", "2013-10-03", "2013-12-11", "2014-03-26", "2015-11-12", "2014-08-07", "2008-01-31", "2008-02-21", 
         "2008-09-19", "2008-11-06", "2009-01-06", "2009-01-14", "2009-03-25", "2009-03-27", "2009-06-18", "2009-08-18", 
         "2009-09-08", "2009-11-13", "2010-01-21", "2010-04-19", "2010-07-07", "2010-08-06", "2010-08-19")
)

df <- df %>%
mutate(year = as.numeric(substr(Date, 1,4))) %>%
group_by(ID) %>%
mutate(meds_count = ifelse(medication %in% c("colchicine", "allopurinol", "febuxosat"), 1, 0)) %>%
unite(ID_year, ID, year, sep = "_", remove = FALSE) %>%
group_by(ID_year) %>%
mutate(meds_sum = sum(meds_count)) %>%
distinct(ID_year, .keep_all = TRUE) 

然后我创建一个新变量‘gout’,如果meds_sum变量等于或大于4,则该变量为值1;否则为0。

df <- df %>%
mutate(gout = ifelse(meds_sum >= 4, 1, 0))

然后,我要创建一个新变量gout2,如果meds_sum变量等于或大于4,则该变量为值1;如果meds_sum在前一年或后一年不为零,则该变量为值1。这是我在最后一步中要做的,但是lead()和lag()在这段代码中创建了NA值。

 df <- df %>% 
 mutate(gout2 = ifelse((meds_sum >= 4 & ((lead(meds_sum) >= 1 | lag(meds_sum)) >= 1)), 1, 0))

有人能告诉我我做错了什么吗?

这就是我希望输出的样子:

df$gout2 <- c(0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0)