Rstudio base R 4.2.0 occur errors with package dplyr

[charles-e]

matching data with full_join/left_join occurs errors as this：

I have try to re-install package,but it's the same as it.
when change the version 4.1.3,it works normally.

[charles-e]

anyone here knows the problem about it

[andresrcs]

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[charles-e]

thanks for your concerns.
test eg. as follow:

iris_test1 <- iris %>% group_by(Species) %>% summarise(Petal.Length_mean_value=mean(Petal.Length))
iris_test2 <- iris %>% group_by(Species) %>% summarise(Petal.Width_mean_value=mean(Petal.Width))

iris_test_result <- iris_test1 %>% full_join(iris_test2,by='Species')

[nirgrahamuk]

can you run

getAnywhere(full_join)

and share the results ?

[andresrcs]

I can't reproduce your issue, the code you have provided runs as expected on my setup (R 4.2.0 on Ubuntu Server 20.04 LTS, dplyr 1.0.9), see this reprex.

library(dplyr)

iris_test1 <- iris %>%
    group_by(Species) %>%
    summarise(Petal.Length_mean_value = mean(Petal.Length))

iris_test2 <- iris %>%
    group_by(Species) %>%
    summarise(Petal.Width_mean_value = mean(Petal.Width))

iris_test1 %>%
    dplyr::full_join(iris_test2, by = 'Species')
#> # A tibble: 3 × 3
#>   Species    Petal.Length_mean_value Petal.Width_mean_value
#>   <fct>                        <dbl>                  <dbl>
#> 1 setosa                        1.46                  0.246
#> 2 versicolor                    4.26                  1.33 
#> 3 virginica                     5.55                  2.03

^{Created on 2022-05-12 by the reprex package (v2.0.1)}

As Nir says, maybe the full_join() function is being masked by another package, to test this theory you can run the code this way:

iris_test1 %>%
    dplyr::full_join(iris_test2, by = 'Species')

[charles-e]

just one.

A single object matching ‘full_join’ was found
It was found in the following places
  package:dplyr
  namespace:dplyr
with value

function (x, y, by = NULL, copy = FALSE, suffix = c(".x", ".y"), 
    ..., keep = FALSE) 
{
    UseMethod("full_join")
}

[charles-e]

@charles-e

thanks,something wrong possibly,mine is win system.
I tried it,it's the same.
I have changed verison 4.1.3,that's it,no need to be in trouble of it.

thanks,something wrong possibly,mine is win system.
I tried it,it's the same.
I have changed verison 4.1.3,that's it,no need to be in trouble of it.

[andresrcs]

Have you updated your R version to 4.2.0 from a previous version? Maybe you forgot to update your package library as well so packages are compiled for the newer version.

update.packages(checkBuilt =TRUE)