如何基于向量隔离数据帧中的值,然后使用R将其乘以同一数据帧中的另一列?

时间:2020-10-14 14:37:38

标签: r dataframe col

我有一个包含多列的数据框

col1|col2|col3|colA|colB|colC|Percent
  1     1    1    2    2    2     50

之前我将这些列作为子集并创建了一个向量

ColAlphabet<-c("ColA","ColB","ColC")

我想做的是将ColAlphabet乘以Percent,这样最终我就可以了

col1|col2|col3|colA|colB|colC|Percent
  1    1    1     1    1    1      50

4 个答案:

答案 0 :(得分:1)

我们可以将mutateacross一起使用。指定用all_of包裹的感兴趣的列,并将这些列乘以“百分比”

library(dplyr)
df2 <- df1 %>%
     mutate(across(all_of(ColAlphabet), ~ .* Percent/100))

-输出

df2
#  col1 col2 col3 colA colB colC Percent
#1    1    1    1    1    1    1      50

数据

df1 <- structure(list(col1 = 1L, col2 = 1L, col3 = 1L, colA = 2L, colB = 2L, 
    colC = 2L, Percent = 50L), class = "data.frame", row.names = c(NA, 
-1L))

答案 1 :(得分:1)

您可以将该列作为子集,乘以Percent并将其再次保存在ColAlphabet中。

ColAlphabet<-c("colA","colB","colC")
df[ColAlphabet] <- df[ColAlphabet] * df$Percent/100
df

#  col1 col2 col3 colA colB colC Percent
#1    1    1    1    1    1    1      50

答案 2 :(得分:0)

我们还可以使用apply()

#Vector
ColAlphabet<-c("colA","colB","colC")
#Code
df[,ColAlphabet] <- apply(df[,ColAlphabet],2,function(x) x*df$Percent/100)

输出:

df
  col1 col2 col3 colA colB colC Percent
1    1    1    1    1    1    1      50

使用了一些数据:

#Data
df <- structure(list(col1 = 1L, col2 = 1L, col3 = 1L, colA = 2L, colB = 2L, 
    colC = 2L, Percent = 50L), class = "data.frame", row.names = c(NA, 
-1L))

答案 3 :(得分:0)

如果您想直接相乘:

> df <- data.frame(col1 = 1, col2 = 1, col3 = 1, colA = 2, colB = 2, colC = 2, Percent = 50)
> df
  col1 col2 col3 colA colB colC Percent
1    1    1    1    2    2    2      50
> df[grep('^c.*[A-Z]$', names(df))] <- df[grep('^c.*[A-Z]$', names(df))] * df$Percent/100
> df
  col1 col2 col3 colA colB colC Percent
1    1    1    1    1    1    1      50
>