[英]R-Nested Ifelse with multiple columns and NAs
我有一個用於比賽的數據框:
df <- data.frame(ID=c(1,2,3,4,5,6), Condition=c(1,2,2,1,1,2), White=c(1,1,NA,NA,NA,NA), Black=c(2,NA,NA,NA,2,NA), Asian=c(NA, NA, NA, 3, 3, 3), AmerIndian=c(NA,NA,4,NA,NA,NA), NatHawaiian=c(NA, NA, NA, 5, NA, NA))
並且我想開發一個新的比賽領域,無論條件2為何,都將填寫一個新領域。
這是我嘗試的:
df$var <-ifelse(as.numeric(df$White)==1&!is.na(df$White),"White",
+ ifelse(as.numeric(df$Black)==2&!is.na(df$Black),"Black",
+ ifelse(as.numeric(df$Asian)==3&!is.na(df$Asian),"Asian",
+ ifelse(as.numeric(df$AmerIndian)==4&!is.na(df$AmerIndian),"AmerIndian",
+ ifelse(as.numeric(df$NatHawaiian)==5&!is.na(df$NatHawaiian),"NatHawaiian",NA)))))
我收到此錯誤:
Error in +ifelse(as.numeric(df$NatHawaiian) == 5 & !is.na(df$NatHawaiian), :
invalid argument to unary operator
根據您輸入的代碼和生成的錯誤,我建議在每個ifelse語句的開頭刪除加號。 完成后,您共享的代碼:
df$var <- ifelse(
as.numeric(df$White) == 1 & !is.na(df$White),
"White", ifelse(
as.numeric(df$Black) == 2 & !is.na(df$Black),
"Black", ifelse(
as.numeric(df$Asian) == 3 & !is.na(df$Asian),
"Asian", ifelse(
as.numeric(df$AmerIndian) == 4 & !is.na(df$AmerIndian),
"AmerIndian", ifelse(
as.numeric(df$NatHawaiian) == 5 &
!is.na(df$NatHawaiian),
"NatHawaiian",
NA
)
)
)
)
)
將生成此輸出:
ID Condition White Black Asian AmerIndian NatHawaiian var
1 1 1 1 2 NA NA NA White
2 2 2 1 NA NA NA NA White
3 3 2 NA NA NA 4 NA AmerIndian
4 4 1 NA NA 3 NA 5 Asian
5 5 1 NA 2 3 NA NA Black
6 6 2 NA NA 3 NA NA Asian
您可以嘗試使用tidyverse
例如:
df %>%
gather(key = "race", value = "val", 3:7) %>%
mutate( rc = if_else((Condition == 2 & !is.na(val)), race, NULL)) %>%
spread(race, val)
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