将一列拆分为多个二进制虚拟列 [英] Split a column into multiple binary dummy columns

问题描述

我试图将数据框中的单个字符"变量拆分为多个因子"变量.

I'm trying to split a single "character" variable in my dataframe into mutiple "factor" variables.

> sampledf=data.frame(vin=c('v1','v2','v3'),features=c('f1:f2:f3','f2:f4:f5','f1:f4:f5'))
> sampledf
  vin features
1  v1 f1:f2:f3
2  v2 f2:f4:f5
3  v3 f1:f4:f5

> desireddf=data.frame(vin=c('v1','v2','v3'),f1=c(1,0,1),f2=c(1,1,0),f3=c(1,0,0),f4=c(0,1,1),f5=c(0,1,1))
> desireddf
  vin f1 f2 f3 f4 f5
1  v1  1  1  1  0  0
2  v2  0  1  0  1  1
3  v3  1  0  0  1  1

我尝试使用 strsplit() 来分隔功能"列

I've tried using strsplit() to separate the "features" column

strsplit(as.character(df$features), ";") 

但没有运气分解它们.

推荐答案

我们可以使用 mtabulate 从 qdapTools 拆分后(strsplit(..>)功能"列.

We can use mtabulate from qdapTools after splitting (strsplit(..) the 'features' column.

library(qdapTools)
cbind(sampledf[1],mtabulate(strsplit(as.character(sampledf$features), ':')))
#  vin f1 f2 f3 f4 f5
#1  v1  1  1  1  0  0
#2  v2  0  1  0  1  1
#3  v3  1  0  0  1  1

或者我们可以使用 library(splitstackshape)

library(splitstackshape)
df1 <- cSplit_e(sampledf, 'features', ':', type= 'character', fill=0, drop=TRUE)
names(df1) <-  sub('.*_', '', names(df1))

或者使用base R方法，我们像以前一样split，从strsplitlist元素的名称code> 与 'vin' 列，使用 stack 转换为键/值列 'data.frame'，获取 table，转置和 cbind 'sampledf' 的第一列.

Or using base R methods, we split as before, set the names of the list elements from the strsplit with 'vin' column, convert to a key/value columns 'data.frame' using stack, get the table, transpose and cbind with the first column of 'sampledf'.

cbind(sampledf[1],  
 t(table(stack(setNames(strsplit(as.character(sampledf$features), ':'), 
              sampledf$vin)))))

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