🚧 Deprecation notice 🚧
As of safejoin version 0.2.0 the package has been deprecated. As of version 1.1.1 dplyr has a relationship argument that provides the same functionality that safejoin was created for. See the dplyr docs https://dplyr.tidyverse.org/reference/mutate-joins.html for complete details.
Please use dplyr::left_join() with the relationship argument instead.
About
The goal of safejoin is to guarantee that when performing joins that extra rows are not added to your data. safejoin is a wrapper around the dplyr::left_join function.
Installation
You can install the released version of safejoin from CRAN with:
install.packages("safejoin")Install development version from GitHub:
devtools::install_github("SamEdwardes/safejoin", ref = "dev")Example
Depending on your need safejoin can raise an error, a warning, or a message. By default safejoin will raise an error.
Error:
library(safejoin)
x <- data.frame(key = c("a", "b"), value_x = c(1, 2))
y <- data.frame(key = c("a", "a"), value_y = c(1, 1))
safe_left_join(x, y, by = "key")
#> Warning: The `relationship` argument of `safe_left_join()` relationship-type as of
#> safejoin 0.2.0.
#> ℹ Please use `dplyr::left_join()` instead.
#> This warning is displayed once every 8 hours.
#> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
#> generated.
#> Error in safe_left_join(x, y, by = "key"): Input data x had 2 rows. After performing the join the data has 3 rows.Warning:
safe_left_join(x, y, by = "key", action="warning")
#> Warning in safe_left_join(x, y, by = "key", action = "warning"): Input data x
#> had 2 rows. After performing the join the data has 3 rows.
#> key value_x value_y
#> 1 a 1 1
#> 2 a 1 1
#> 3 b 2 NAMessage:
safe_left_join(x, y, by = "key", action="message")
#> Input data x had 2 rows. After performing the join the data has 3 rows.
#> key value_x value_y
#> 1 a 1 1
#> 2 a 1 1
#> 3 b 2 NAWhen a join is “safe” safe_left_join will have the exact same behavior as dplyr::left_join.
x <- data.frame(key = c("a", "b"), value_x = c(1, 2))
y <- data.frame(key = c("a", "b"), value_y = c(1, 1))
safe_left_join(x, y, by = "key")
#> key value_x value_y
#> 1 a 1 1
#> 2 b 2 1Other useful packages
There are other packages that help solve similar problems. Most notably https://github.com/cynkra/dm provides great features to treat data frames like a data base.
