Reputation: 11
df1 %>%
group_by(reporter, year) %>%
summarize(TI = sum(trade_value_usd[df1 != "World"], na.rm = T) / sum(trade_value_usd[df1$partner == "World"], na.rm = T) /
(sum(df2$trade_value_usd) / sum(df3$trade_value_usd)))
I need df2 to follow same df1 criteria in such operations, how can I do ?
Upvotes: 0
Views: 31
Reputation: 16998
Depending on your exact task, you could define a function and use df1
and df2
as arguments:
manipulator <- function(data) {
output <- data %>%
group_by(reporter, year) %>%
summarize(TI = sum(trade_value_usd[data != "World"], na.rm = T) / sum(trade_value_usd[data$partner == "World"], na.rm = T) /
(sum(df2$trade_value_usd) / sum(df3$trade_value_usd)))
return(output) # or print or something else
}
manipulator(df1)
manipulator(df2)
Upvotes: 1