[英]Multiple left join with different column names
I have two left_join
operations:我有两个left_join
操作:
unnested = left_join(unnested, X3g_data[,c(1:6)], by = c("Country" = "CountryName"), all.x = TRUE)
unnested = left_join(unnested, new_data, by = "Country", all.x = TRUE)
I want to combine them into one left_join
command, I found this answer , but it assumes that the column names are the same, which is not the case for me.我想将它们组合成一个left_join
命令,我找到了这个答案,但它假设列名是相同的,这对我来说不是这样。
How can combine these two operations into a single operation?如何将这两个操作合并为一个操作?
You could pipe ( %>%
) these together:您可以将 pipe ( %>%
) 这些放在一起:
library(tidyverse)
unnested %>%
left_join(X3g_data[,c(1:6)],
by = c("Country" = "CountryName")) %>%
left_join(new_data,
by = "Country")
Another option is to adjust the input data so the merging columns are the same for all and then use purrr::reduce()
:另一种选择是调整输入数据,以便合并列对所有列都相同,然后使用purrr::reduce()
:
list(unnested,
rename(X3g_data[,c(1:6)], Country = CountryName),
new_data) %>%
reduce(left_join)
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