Mutate add colums

Good aftenoon ,
I want to add colums in dataframe with mutate function , in order I classify the risque (Risque 0 is saine),Risque"1and2"is subclinique and Risque(3,4,5)is clinique, give me errors , Thank you

sick%>%mutate(cas = ifelse(RISQUE=="1","2","subclinique",
ifelse (RISQUE=="3","4","5" ,"clinique",
ifelse( RISQUE=="0","saine"))))

Try this

sick <- data.frame(
  RISQUE = c("0","1","2","3","4","5","6")
)
print(sick)
#>   RISQUE
#> 1      0
#> 2      1
#> 3      2
#> 4      3
#> 5      4
#> 6      5
#> 7      6

library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union

sick %>%
  mutate(cas =
           ifelse(RISQUE %in% c("1", "2"), "subclinique",
           ifelse (RISQUE %in% c("3", "4", "5") , "clinique",
           ifelse(RISQUE == "0", "saine","unknown"))
           ))
#>   RISQUE         cas
#> 1      0       saine
#> 2      1 subclinique
#> 3      2 subclinique
#> 4      3    clinique
#> 5      4    clinique
#> 6      5    clinique
#> 7      6     unknown
Created on 2021-09-07 by the reprex package (v2.0.0)
1 Like

For multiple conditions is better to use case_when() instead of nested ifelse()

library(dplyr)

# Sample data in a copy/paste friendly format, replace this with your own data frame
sick <- data.frame(
    RISQUE = c("0","1","2","3","4","5","6")
)

# Relevant code
sick %>%
    mutate(cas = case_when(
        RISQUE %in% c("1", "2") ~ "subclinique",
        RISQUE %in% c("3", "4", "5") ~ "clinique",
        RISQUE == "0" ~ "saine",
        TRUE ~ "unknown"
    ))
#>   RISQUE         cas
#> 1      0       saine
#> 2      1 subclinique
#> 3      2 subclinique
#> 4      3    clinique
#> 5      4    clinique
#> 6      5    clinique
#> 7      6     unknown

Created on 2021-09-07 by the reprex package (v2.0.1)

1 Like

That's it , thank you so much for your help

Thank you so much for your help :slightly_smiling_face: