Description

Objects within skimr are identified by a class, but they require additional attributes and data columns for all operations to succeed. These checks help ensure this. While they have some application externally, they are mostly used internally.

Usage

Arguments

Details

Most notably, a skim_df has columns skim_type and skim_variable. And has the following special attributes

• data_rows: n rows in the original data

• data_cols: original number of columns

• df_name: name of the original data frame

• dt_key: name of the key if original is a data.table

• groups: if there were group variables

• base_skimmers: names of functions applied to all skim types

• skimmers_used: names of functions used to skim each type

The functions in these checks work like all.equal(). The return TRUE if the check passes, or otherwise notifies why the check failed. This makes them more useful when throwing errors.

Functions

• has_type_column: Does the object have the skim_type column?

• has_variable_column: Does the object have the skim_variable column?

• has_skimr_attributes: Does the object have the appropriate skimr attributes?

• has_skim_type_attribute: Does the object have a skim_type attribute? This makes it a one_skim_df.

• is_data_frame: Is the object a data frame?

• is_skim_df: Is the object a skim_df?

• is_one_skim_df: Is the object a one_skim_df? This is similar to a skim_df, but does not have the type column. That is stored as an attribute instead.

• is_skim_list: Is the object a skim_list?

• could_be_skim_df: Is this a data frame with skim_variable and skim_type columns?

• assert_is_skim_df: Stop if the object is not a skim_df.

• assert_is_skim_list: Stop if the object is not a skim_list.

• assert_is_one_skim_df: Stop if the object is not a one_skim_df.