计算R中多列中的特定字
我有一个这样的数据框计算R中多列中的特定字,r,string,vector,character,tidyverse,R,String,Vector,Character,Tidyverse,我有一个这样的数据框 df <- data.frame(id=c(1, 2, 3, 4, 5), staple_1=c("potato", "cassava","rice","fruit","coffee"), staple_2=c("cassava","beer","peanuts","rice","yams"), staple_3=c("rice","peanuts","fruit","fruit","rice")) staples<-c("potato","cassava",
df <- data.frame(id=c(1, 2, 3, 4, 5), staple_1=c("potato", "cassava","rice","fruit","coffee"), staple_2=c("cassava","beer","peanuts","rice","yams"), staple_3=c("rice","peanuts","fruit","fruit","rice"))
staples<-c("potato","cassava","rice","yams")
df$staples<-c(3,1,1,1,2)
df一个简单的apply
就可以了
apply(df, 1, function(x) sum(staples %in% x))
#[1] 3 1 1 1 2
df$staples <- apply(df, 1, function(x) sum(staples %in% x))
apply(df,1,函数(x)和(订书钉%x中的%x))
#[1] 3 1 1 1 2
df$staples另一种方法是在列中循环,使用%
中的%创建逻辑向量的列表
,并使用Reduce
添加(+
)
Reduce(`+`, lapply(df[-1], `%in%`, staples))
#[1] 3 1 1 1 2
或者使用行和
将数据集转换为矩阵
(不带'id'列),使用%
中的%转换为逻辑向量
,分配dim
转换为与df[-1]
维度相同的维度,并获得行和
rowSums(`dim<-`(as.matrix(df[-1]) %in% staples, dim(df[-1])))
#[1] 3 1 1 1 2
行和(`dim这里是一个整洁的解决方案
library(tidyverse)
df <- data_frame(id = c(1, 2, 3, 4, 5),
staple_1 = c("potato", "cassava", "rice", "fruit", "coffee"),
staple_2 = c("cassava", "beer", "peanuts", "rice", "yams"),
staple_3 = c("rice", "peanuts", "fruit", "fruit", "rice"))
staples_vect <- c("potato", "cassava", "rice", "yams")
df %>%
mutate(staples = pmap_int(select(., starts_with("staple_")), ~sum(c(...) %in% staples_vect)))
库(tidyverse)
请张贴你的方法