The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
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.
You can install the released version of safejoin from CRAN with:
Install development version from GitHub:
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 1There 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.
safejoin is created and maintained by Sam Edwardes.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.