[英]How to assign a unique number based on multiple columns in R dataset?
I collected some data that is different in unique in year, month, and level.我收集了一些数据,这些数据在年、月、级别上都是不同的。 I want to assign a unique code (simple numerics) to each row on these three columns alone.
我想单独为这三列的每一行分配一个唯一代码(简单数字)。 Any suggestions on how to proceed?
关于如何进行的任何建议?
year <- c("A","J","J","S")
month <- c(2000,2001,2001,2000)
level <- c("high","low","low","low")
site <- c(1,2,3,3)
val1 <- c(1,2,3,0)
df <- data.frame(year,month,level,site,val1)
#Result desired
df$Unique.code --> 1,2,2,3
dplyr
has the cur_group_id()
function for this: dplyr
有cur_group_id()
function:
df %>%
group_by(year, month, level) %>%
mutate(id = cur_group_id())
# # A tibble: 4 × 6
# # Groups: year, month, level [3]
# year month level site val1 id
# <chr> <dbl> <chr> <dbl> <dbl> <int>
# 1 A 2000 high 1 1 1
# 2 J 2001 low 2 2 2
# 3 J 2001 low 3 3 2
# 4 S 2000 low 3 0 3
Or we could coerce a factor
into an integer
in base:或者我们可以将一个
factor
强制转换为基数中的integer
:
df$group_id = with(df, as.integer(factor(paste(year, month, level))))
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