data.table + dtplyr throws `lazy_dt()` error when running skim()

[rsaporta]

Summary:

• running skim(DT) where DT is a data.table produces pesky warnings.
• The use of dplyr functions on a data.table requires some special considerations to avoid typical lazy_dt() warnings.

Warning: You are using a dplyr method on a raw data.table, which will call the

• data frame implementation, and is likely to be inefficient.
• To suppress this message, either generate a data.table translation with
• lazy_dt() or convert to a data frame or tibble with
• as.data.frame()/as_tibble().

Reproducible example

Setup

library(skimr)
library(data.table)

## ensure warnings are not silenced
options(warn = 1)

## create a simple data.table
DT_letters <- data.table(abc = letters)

skimming works as expected, no warnings

skim(DT_letters)

if dtplyr is loaded, warnings are thrown

library(dtplyr)
skim(DT_letters)

[elinw]

Is there a sample data set with different kinds of variables that people like to use for data.table examples?

[elinw]

Okay I merged in the support data table branch a while ago. So as far as I know the current master addresses this, so I'm closing. If it's not, let me know.