Hello, I have 2 data frames. df 1 is called survey. df 2 is called admin. Both data frames contain first name and last name column. I want to select observations in df 1 that they also belong to df 2. (Because I want to know these members explicitly). What is the code?
Hi @Tung,
you could do this e.g. with an inner_join
on all relevant columns.
library(tidyverse)
tbl1 <- tibble(FIRST = c("John", "Joe", "Mary"),
LAST = c("A", "B", "C"),
MORE = c(34,87,99))
tbl2 <- tibble(FIRST = c("Mary"),
LAST = c("C"),
EVEN_MORE = c(111))
# both
inner_join(tbl1, tbl2, by = c("FIRST", "LAST"))
#> # A tibble: 1 x 4
#> FIRST LAST MORE EVEN_MORE
#> <chr> <chr> <dbl> <dbl>
#> 1 Mary C 99 111
Created on 2020-10-23 by the reprex package (v0.3.0)
Hi @smichal,
I tried your solution. But
Error: Join columns must be present in data.
x Problem with First name
and Last name
.
Run rlang::last_error()
to see where the error occurred.
It's weird. I quit R and reopen R, and your code works. It sees such things always happen in my computer. Why?
Hi @Tung,
sorry, from this point on I could only guess.
Could you make a reproducible example (reprex) to make things clearer?
(My guess would be that you have not given the correct column names to join on. )
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