过滤两列等于相同值的数据框

Question

Is there a way or writing

filter(dataDF, column1 == 'myvalue' & column2 == 'myvalue')

without having to write out myvalue twice?

Answer 1

您可以使用dplyr::filter_at

filter_at(dataDF, c("column1", "column2"), all_vars(. == 'myvalue'))

Answer 2

By your comment,

hmm, better than what I had. Reasons I want to do it is 1. Such that if I need to go and edit what 'myvalue' at a later date I only need to change it in once place and 2. To make code as efficient and short as possible. Your solution solves number 1. but not number 2

You can put the 'myValue' in a variable and use it . That way you only have to update/change it at one place.

valueToCheck='myvalue'
filter(dataDF, column1 == valueToCheck & column2 == valueToCheck)

Answer 3

一种笨拙的base-R解决方案

df[do.call(`&`, lapply(df[, c('column1', 'column2')], `==`, myvalue)), ]