- 导入相关包
- 导入文件
- 按指定行进行分组计数
- 按指定字段进行分组:计数为一个字段下分几类:用长变宽函数pivot_wider()
- 按照制定顺序进行行排序:用一个带顺序的表控制合并表的关键字full_join()
- 按照制定顺序进行列排序:SELECT()
- 导出文件
library(tidyverse) library(readxl) wp0 <- read_excel("wp.xlsx", sheet = "wp0") wp1 <- read_excel("wp.xlsx", sheet = "wp1") #-----------------------------板块------------------------------------ wp0 %>% count() df0 <-wp0 %>% count(`板块名称`) names(df0)[names(df0) == 'n'] <- 'n0' wp1 %>% count() df1 <-wp1 %>% count(`板块名称`) df2 <-wp1 %>% count(`板块名称`,`租赁来源`) %>% pivot_wider( names_from = "租赁来源", values_from = "n") df3 <-wp1 %>% count(`板块名称`,`租赁方式`)%>% pivot_wider( names_from = "租赁方式", values_from = "n") df4 <-wp1 %
R语言数理统计之对多分类变量分组计数
最新推荐文章于 2025-01-14 01:00:00 发布