unpack_round_numbers_test: Performs unpack rounded number test by performing all-digit...

In jlederluis/digitanalysis: Digit Analysis

Performs unpack rounded number test by performing all-digit place two-way chi square test vs Benford’s Law. A wrapper function for all_digit_test.

Description

Performs unpack rounded number test by performing all-digit place two-way chi square test vs Benford’s Law. A wrapper function for all_digit_test.

Usage

unpack_round_numbers_test(
  digitdata,
  rounding_split_column,
  analysis_columns = "all",
  digit_places = "all",
  break_out = NA,
  break_out_grouping = NA,
  category = NA,
  category_grouping = NA,
  distribution = "Benford",
  contingency_table = NA,
  plot = TRUE,
  omit_05 = NA,
  skip_first_digit = FALSE,
  skip_last_digit = FALSE,
  suppress_low_N = FALSE,
  suppress_first_division_plots = FALSE,
  suppress_second_division_plots = TRUE
)

Arguments

digitdata	A object of class DigitAnalysis.
rounding_split_column	The data column (numeric!) to split rounded and unrounded digits upon to perform unpacking rounding test.
analysis_columns	The names of numeric columns of data to be analyzed. Default can be 'all', where using all data columns in numbers df in digitdata; an array of column names, as characters; a single column name, as character.
digit_places	The indexes of left-aligned digit places to analyze. There are three options: 'all': analzye all digits. Set as default. An numeric array: Perform multiple digit test on the digit places desired to analyze. A number: Perform single digit test on the digit place desired to analyze. If last digit test is desired, pass in -1 or c(-1).
break_out	The data column (non-numeric!) to split up the dataset based on different categories in the column if specified as an character. The first division (usually x-axis) shown in plots. Default to NA.
break_out_grouping	A list of arrays, or defaulted to NA. Only effective if break_out is not NA. Each the names of the elements in the list is the break_out name Each array contains the values belonging to that break_out If it is remain as NA as default, while break_out is not NA, then break_out_grouping will default to every individual item in break_out will be in a separate group.
category	The column for splitting the data into sectors for separate analysis. The second division (usually variables) shown in plots.
category_grouping	A list of arrays, or defaulted to NA. Only effective if category is not NA. Each the names of the elements in the list is the category name Each array contains the values belonging to that category If it is remain as NA as default, while category is not NA, then category_grouping will default to every individual item in category will be in a separate group. e.g. category_grouping = list(group_1=c(category_1, category_2, ...), group_2=c(category_10, ...), group_3=c(...))
distribution	'Benford' or 'Uniform'. Case insensitive. Specifies the distribution the chi square test is testing against. Default to 'Benford'.
contingency_table	The user-input probability table of arbitrary distribution. Overwrites distribution if not NA. Must be a dataframe of the form as benford_table. Defaulted to NA. Check out load(file = "data/benford_table.RData") to see the format of benford_table
plot	TRUE or FALSE or 'Save': If TRUE, display the plots and return them. If 'Save', return the plots but suppress display. If FALSE, no plot is produced. Default to TRUE.
omit_05	Whether to omit 0 or both 0 and 5. If omit both 0 and 5, pass in c(0,5) or c(5,0); if omit only 0 pass in 0 or c(0); if omit neither, pass in NA. Default to NA.
skip_first_digit	TRUE or FALSE: If TRUE, skip first digit place before analysis. Default to FALSE.
skip_last_digit	TRUE or FALSE: If TRUE, skip last digit place before analysis, since we don't want tests to overlap. Default to FALSE. skip_last_digit should overwrite digit_places and skip_first_digits.
suppress_low_N	TRUE or FALSE: If TRUE, suppress columns in expected table if at least one cell in that column has expected value < 5. Default to FALSE.
suppress_first_division_plots	TRUE or FALSE: If TRUE, suppress the display of all plots on first and second division. If TRUE, suppress_second_division_plots will also be set to TRUE.
suppress_second_division_plots	TRUE or FALSE: If TRUE, suppress the display of all plots on second division.

Value

• A list of p-values for round and unround data break by break_out and category if specified

• A list of sample sizes for round and unround data break by break_out and category if specified

• A list of merged plots, rounded data plots, and un rounded data plots break by break_out and category if specified iff plot = TRUE or 'Save'

Examples

unpack_round_numbers_test(digitdata, rounding_split_column='col_name', analysis_columns=c('X', 'Y'))
unpack_round_numbers_test(digitdata, rounding_split_column='col_name', digit_places=c(1,2,3), break_out='A', category='Y')
unpack_round_numbers_test(digitdata, rounding_split_column='col_name', break_out='A', omit_05=c(0,5), suppress_low_N=TRUE)

jlederluis/digitanalysis documentation built on Nov. 5, 2023, 11:46 a.m.