基于分组数据帧中两个条件的子集
subset based on two condition from grouped dataframe
在我的 data
中,我尝试对 study
值进行子集化,其中 reporting
既是 subscale
又是 composite
。
在此 data
中,所需的输出将是 study==1
的行。我尝试了以下但没有成功。有什么解决方法吗?
library(tidyverse)
m="
study reporting
1 subscale
1 composite
2 subscale
2 subscale
3 composite"
data <- read.table(text = m, h=T)
data %>% group_by(study) %>%
filter(reporting=="composite"&reporting=="subscale") # Doesn't return anything
你可以试试-
library(dplyr)
data %>%
group_by(study) %>%
filter(all(c('composite', 'subscale') %in% reporting)) %>%
ungroup()
# study reporting
# <int> <chr>
#1 1 subscale
#2 1 composite
在我的 data
中,我尝试对 study
值进行子集化,其中 reporting
既是 subscale
又是 composite
。
在此 data
中,所需的输出将是 study==1
的行。我尝试了以下但没有成功。有什么解决方法吗?
library(tidyverse)
m="
study reporting
1 subscale
1 composite
2 subscale
2 subscale
3 composite"
data <- read.table(text = m, h=T)
data %>% group_by(study) %>%
filter(reporting=="composite"&reporting=="subscale") # Doesn't return anything
你可以试试-
library(dplyr)
data %>%
group_by(study) %>%
filter(all(c('composite', 'subscale') %in% reporting)) %>%
ungroup()
# study reporting
# <int> <chr>
#1 1 subscale
#2 1 composite