[英]Remove group based on count of another column (R)
我有一个数据框,我只想保留至少有2箱有汽车的组,而保留组的另一个输出将至少有2箱没有汽车的组:
Group = c('a','a','a','b','b','b','c','c','c','c')
Car = c(1,1,0,0,0,0,1,0,0,0) # 1 = Have car, 0 = No car
df = data.frame(Group,Car)
df$Group = factor(df$Group)
df$Car = factor(df$Car)
Group Car
1 a 1
2 a 1
3 a 0
4 b 0
5 b 0
6 b 0
7 c 1
8 c 0
9 c 0
10 c 0
输出应为:
Group Car
a 1
a 1
a 0
第二输出:
Group Car
b 0
b 0
b 0
c 1
c 0
c 0
c 0
我有一个非常庞大的数据集。 请帮忙。 谢谢!
第一种情况:至少有2箱汽车的团体
library(dplyr)
df %>%
group_by(Group) %>%
filter(sum(Car) > 1)
# Group Car
# <fct> <dbl>
#1 a 1
#2 a 1
#3 a 0
或基础R ave
subset(df, ave(Car, Group, FUN = sum) > 1)
和data.table
library(data.table)
setDT(df)[, if (sum(.SD) > 1) .SD, by = Group]
第2种情况:至少有2例无车的团体
df %>%
group_by(Group) %>%
filter(sum(Car == 0) > 1)
# Group Car
# <fct> <dbl>
#1 b 0
#2 b 0
#3 b 0
#4 c 1
#5 c 0
#6 c 0
#7 c 0
并具有基准R ave
subset(df, ave(Car == 0, Group, FUN = sum) > 1)
与data.table
setDT(df)[, if (sum(.SD == 0) > 1) .SD, by = Group]
数据
Group = c('a','a','a','b','b','b','c','c','c','c')
Car = c(1,1,0,0,0,0,1,0,0,0)
df = data.frame(Group,Car)
我们可以在一个同时获得数据集list
使用一步split
lst1 <- split(df, df$Group %in% names(which(rowsum(df$Car, df$Group)[,1] >= 2)))
lst1
#$`FALSE`
# Group Car
#4 b 0
#5 b 0
#6 b 0
#7 c 1
#8 c 0
#9 c 0
#10 c 0
#$`TRUE`
# Group Car
#1 a 1
#2 a 1
#3 a 0
如果我们需要提取list
元素,请使用[[
lst1[[1]]
lst1[[2]]
Group <- c('a','a','a','b','b','b','c','c','c','c')
Car <- c(1,1,0,0,0,0,1,0,0,0)
df <- data.frame(Group,Car)
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