如何删除包含另一个数据框中列的元素的行

Question

I have a data frame with rows I do not want to include in the final data frame. But I do not know how to exclude them. I tried some stuff but it didn't work and I couldn't find a fitting answer on the web.

first_filtered_list<- data%>%filter(Name == old_name & NUMBER_OF_LOCATIONS != PREVIEW_NUM)

This list contains all rows I want to exclude from the data. I can't change it to first_filtered_list<- data%>%filter(Name == old_name & NUMBER_OF_LOCATIONS == PREVIEW_NUM) because the data has hundreds of duplicate names. I would like to exclude all rows whose Name is in the first_filtered_list$Name

Answer 1

You could use a anti_join on the columns you want to filter?

library(dplyr)

df1 <- data.frame(a=1:5, b=letters[1:5], c=runif(5))
df_to_filter <- df1[c(1,3,5),]
df1 %>% anti_join(df_to_filter, by=c('a','b'))

But why don't you directly filter your data?