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I currently take a dataframe by finding an object with that name, rather than passing the object itself it. Works fine for most cases:
> siftr::sift(iris)
ℹ Building the dictionary for `iris`...
✔ Dictionary was built in 0.02 secs.
ℹ `iris` has 5 columns:
Sepal.Length, Sepal.Width, Petal.Length, Petal.Width, Species.
ℹ Use siftr::lastsift() to view the full dictionary.
But doesn't work for more complicated accesses:
> siftr::sift(iris[1,])
Error in eval(as.symbol(df_name)) : object 'iris[1, ]' not found
Is this worth it? I think I did it this way so that I could give dictionaries and hashes the object name in the environment that stores them all. Can I use address location instead, or something?
The text was updated successfully, but these errors were encountered:
I currently take a dataframe by finding an object with that name, rather than passing the object itself it. Works fine for most cases:
But doesn't work for more complicated accesses:
Is this worth it? I think I did it this way so that I could give dictionaries and hashes the object name in the environment that stores them all. Can I use address location instead, or something?
The text was updated successfully, but these errors were encountered: