skranz / dplyrextras Goto Github PK

Hi, Stephan

Thanks for creating these functions - they're really helpful. There seems to be a bug in the documentation of the various s_ functions. In the code snippet, you create what seems to be a vector of character variables, as follows:
cols = c("mpg","cyl, hp:vs")

Shouldn't that be cols = c("mpg", "cyl", "hp:vs") #i.e. each one is a separate quoted variable, rather than having one variable containing "cyl, hp:vs"

install_github(repo="dplyrExtras", username="skranz")`

returns an error:

Warning message:
Username parameter is deprecated. Please use skranz/dplyrExtras

Code needs to be:
library(devtools); install_github(repo="skranz/dplyrExtras")

Hello. I use mutate_rows a lot and I just started getting an error message on code that used to work fine, which I suspect has something to do with the update to dplyr 0.7.0.

For example, the code

library(dplyr)
library(dplyrExtras)
df <- tibble(a = c(1,2,1), b = letters[2:4])
df %>% mutate_rows(a == 1, b = "hello")

leads to the following error message Error in get(name, envir = asNamespace(pkg), inherits = FALSE) : object 'named_dots' not found'

Since named_dots is a dplyr function, I'm guessing that's where the issue is. Is there a fix that you can implement in dplyrExtras to get around whatever was changed in the dplyr update?

The original issue is here: tidyverse/dplyr#1307

Variable labels are one of the few remaining features that are nicer in Stata. These are used for variable descriptions that are longer than appropriate for a title.

The call would be something like:

my_tbl_df %>% select(my_var_1, my_var_2) %>% labels()

And the output would be a character vector of the variable labels for my_var_1 and my_var_2.

Might be a good addition to dplyrExtras!

The current version of mutate_if.data.frame seems to call as.data.frame in the first line. I think it should be as.data.table. Because later you call mutate_if.data.table on the newly created dt.

mutate_if.data.frame =function (.data,.if,...)
{
  dt = as.data.table(.data) # changed from dt = as.data.frame(.data)
  .if.quoted = substitute(.if)
  as.data.frame(mutate_if.data.table(.data=dt,.if.quoted=.if.quoted,...,inplace=TRUE, .parent.env = parent.frame()))
}

Dear Sebastian,

I really like your mutate_if function ! To your knowledge what is the best way to implement this function tbl_sqlite object ?

Cheers

Clément