Scrutinizing Collections of Structured Datasets

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Documentation for package ‘scrutr’ version 0.3.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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chars_structure	Get :alpha: / :digit: patterns from each symbol of character vector
chars_structure_general	Generalized characters structure
convert_all	Convert all datasets within a folder to a given file format
convert_r	Batch dataset format conversion using an Excel mask
detect_chars_structure	Detect character structure Detect if values within a character variable match at least one of defined patterns
detect_chars_structure_datasets	Detect character structure from datasets
dupl_show	Show observations of all duplicated values of a variable or a combination of variables
dupl_sources	Illustrate sources of all duplicated values of a variable or a combination of variables
folder_structure_replicate	Replicate the folder structure of a given directory
inspect	Inspect a data frame
inspect_vars	Inspect a collection of datasets
inspect_write	Inspect a data frame and write the output to an Excel file
ljoin_checks	Perform a classical dplyr::left_join() and add check information related to join
mask_convert_r	Create an excel mask compatible with the convert_r() function
mask_rename_r	Create an excel mask compatible with the rename_r() function.
path_move	Move through paths
rename_r	Industrialized file renaming
replace_multiple	Replace character vector values using a correspondence approach
table_prop	Frequencies and proportions in one output
vars_compclasses	Collection-level variables types comparison
vars_compclasses_allsame	Variable class comparison - consistent types across all datasets
vars_compclasses_not_allsame	Variable class comparison - inconsistent types across datasets
vars_detect	Variable detection patterns
vars_detect_everywhere	Variable detection - presence across all datasets
vars_detect_not_everywhere	Variable detection - inconsistent patterns