对于给定的条件,如何在r中排名?
我有一个向量对于给定的条件,如何在r中排名?,r,rank,R,Rank,我有一个向量 x<-c(1,5,0.4,1.3,0.2,0.6) 有人能帮我吗?你可以这样做: x <- c(1,5,0.4,1.3,0.2,0.6) temp <- x temp[temp < 1] <- NA rank(-temp, na.last = "keep") # -temp so that the decreasing order is used # [1] 3 1 NA 2 NA NA x您可以这样做: x <- c(1,5,0.4
x<-c(1,5,0.4,1.3,0.2,0.6)
有人能帮我吗?你可以这样做:
x <- c(1,5,0.4,1.3,0.2,0.6)
temp <- x
temp[temp < 1] <- NA
rank(-temp, na.last = "keep") # -temp so that the decreasing order is used
# [1] 3 1 NA 2 NA NA
x您可以这样做:
x <- c(1,5,0.4,1.3,0.2,0.6)
temp <- x
temp[temp < 1] <- NA
rank(-temp, na.last = "keep") # -temp so that the decreasing order is used
# [1] 3 1 NA 2 NA NA
x使用dplyr
:
df <- data.frame(x=c(1,5,0.4,1.3,0.2,0.6))
library(dplyr)
df <- df %>%
mutate(filtered = ifelse(x<1, NA, x)) %>%
mutate(rank = rank(-filtered, na.last = "keep"))
df
x filtered rank
1 1.0 1.0 3
2 5.0 5.0 1
3 0.4 NA NA
4 1.3 1.3 2
5 0.2 NA NA
6 0.6 NA NA
df使用dplyr
:
df <- data.frame(x=c(1,5,0.4,1.3,0.2,0.6))
library(dplyr)
df <- df %>%
mutate(filtered = ifelse(x<1, NA, x)) %>%
mutate(rank = rank(-filtered, na.last = "keep"))
df
x filtered rank
1 1.0 1.0 3
2 5.0 5.0 1
3 0.4 NA NA
4 1.3 1.3 2
5 0.2 NA NA
6 0.6 NA NA
df您可以这样做:
rnk <- rep(NA, length(x))
w <- which(x>=1)
rnk[w] <- rank(-x[w])
#[1] 3 1 NA 2 NA NA
rnk您可以这样做:
rnk <- rep(NA, length(x))
w <- which(x>=1)
rnk[w] <- rank(-x[w])
#[1] 3 1 NA 2 NA NA
rnk一行代码replace(NA_real_ux>=1,秩(-x[x>=1])
One linerreplace(NA_real_ux>=1,秩(-x[x>=1])
非常感谢Etienne!!非常感谢艾蒂安!!非常感谢,非常感谢