R 如何按部分字符串(或第一个字)对数据帧排序
我对R非常陌生,我在自学基本操作 我想提出以下意见:R 如何按部分字符串(或第一个字)对数据帧排序,r,R,我对R非常陌生,我在自学基本操作 我想提出以下意见: County Population ACounty, Alabama 106242 BCounty, Alabama 362845 ACounty, Texas 242342 BCounty, Texas 293729 我试过: df<-df %>% arrange(County) view(df) 您可以划分县和州,并根据州排列数据 library(dplyr) library(tidyr) df %&
County Population
ACounty, Alabama 106242
BCounty, Alabama 362845
ACounty, Texas 242342
BCounty, Texas 293729
我试过:
df<-df %>% arrange(County)
view(df)
您可以划分县和州,并根据州排列数据
library(dplyr)
library(tidyr)
df %>%
separate(County, c('County', 'State'), sep = ",\\s*") %>%
arrange(State) %>%
unite(County, County, State, sep = ",")
在base R中,您可以通过删除所有内容直到逗号来仅保留状态信息,并使用
order
按状态排列数据
df[order(sub('.*,', '', df$County)), ]
我们可以做到这一点,而不需要分裂或团结
library(dplyr)
library(stringr)
df1 %>%
arrange(str_remove(County, ",.*"))
# County Population
#1 ACounty, Alabama 106242
#2 ACounty, Texas 242342
#3 BCounty, Alabama 362845
#4 BCounty, Texas 293729
数据
df1
library(dplyr)
library(stringr)
df1 %>%
arrange(str_remove(County, ",.*"))
# County Population
#1 ACounty, Alabama 106242
#2 ACounty, Texas 242342
#3 BCounty, Alabama 362845
#4 BCounty, Texas 293729
df1 <- structure(list(County = c("ACounty, Alabama", "BCounty, Alabama",
"ACounty, Texas", "BCounty, Texas"), Population = c(106242L,
362845L, 242342L, 293729L)), class = "data.frame", row.names = c(NA,
-4L))