Concise and Efficient Tools for Everyday Statistical Production
Find modalities related to a criterion
coltypes()
Analysis of the cardinality of a key/identifier in a table
get_recursion_depth
Contingency table for column col_name in data.frame `df
short for paste0()
is.Date
is.POSIXct
is.POSIXlt
is.POSIXt
Missing: Generate a synthetic table of missing values for all columns ...
Computes a contingency table (tac) of all columns in a dataframe for c...
Scoring significativity of difference between two values x and y
TAC-based Outlier Control (TOC)
A set of concise and efficient tools for statistical production. Can also be used for data management. In statistical production, you deal with complex data and need to control your process at each step of your work. Concise functions are very helpful, because you do not hesitate to use them. The following functions are included in the package. 'dup' checks duplicates. 'miss' checks missing values. 'tac' computes contingency table of all columns. 'toc' compares two tables, spotting significant deviations. 'chi2_find' compares columns within a data.frame, spotting related categories of (a more complex function).