[英]Conditional if statement based on row values in r
在基數 R 中,我們可以使用which
創建一個行/列索引矩陣,其中值是"Y"
。 使用tapply
,我們可以為每一行paste
列名。
cols <- paste0('col', 1:9)
mat <- which(df[cols] == 'Y', arr.ind = TRUE)
df$new_col <- as.character(tapply(names(df)[mat[, 2]], mat[, 1],
paste, collapse = "_"))
df
# col1 col2 col3 col4 col5 col6 col7 col8 col9 col10 col11 new_col
#1 N Y N Y Y Y N Y Y 1 624 col2_col4_col5_col6_col8_col9
#2 N Y N Y Y Y N Y N 7 548 col2_col4_col5_col6_col8
使用tidyverse
我們可以獲得長格式的數據, filter
value
"Y"
行,並為每一行粘貼列值。
library(dplyr)
df %>%
mutate(row = row_number()) %>%
tidyr::pivot_longer(cols = -c(col10, col11, row)) %>%
filter(value == 'Y') %>%
group_by(row, col10, col11) %>%
summarise(newcol = toString(name)) %>%
ungroup() %>%
select(-row)
數據
df <- structure(list(col1 = structure(c(1L, 1L), .Label = "N", class = "factor"),
col2 = structure(c(1L, 1L), .Label = "Y", class = "factor"),
col3 = structure(c(1L, 1L), .Label = "N", class = "factor"),
col4 = structure(c(1L, 1L), .Label = "Y", class = "factor"),
col5 = structure(c(1L, 1L), .Label = "Y", class = "factor"),
col6 = structure(c(1L, 1L), .Label = "Y", class = "factor"),
col7 = structure(c(1L, 1L), .Label = "N", class = "factor"),
col8 = structure(c(1L, 1L), .Label = "Y", class = "factor"),
col9 = structure(2:1, .Label = c("N", "Y"), class = "factor"),
col10 = c(1, 7), col11 = c(623.53, 548.028)), row.names = c(NA, -2L),
class = "data.frame")
一個簡單的基本 R 方法是
df1$newcol <- apply(df1, 1, function(x){
paste(names(df1)[x == "Y"], collapse = "_")
})
測試數據創建代碼。
set.seed(1234)
df1 <- t(replicate(2, sample(c("N", "Y"), 10, TRUE)))
df1 <- as.data.frame(df1)
df1 <- cbind(df1, matrix(1:4, 2))
names(df1) <- paste0("col", 1:ncol(df1))
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.