scrutiny0.5.0 package

Error Detection in Science

audit_cols_minimal

Compute minimal audit() summaries

audit-special

Summarize output of sequence mappers and total-n mappers

audit

Summarize scrutiny objects

check_audit_special

Alert user if more specific audit_*() summaries are available

check_mapper_input_colnames

Check that a mapper's input has correct column names

data-frame-predicates

Is an object a consistency test output tibble?

debit_map_seq

Using DEBIT with dispersed inputs

debit_map_total_n

Use DEBIT with hypothetical group sizes

debit_map

Apply DEBIT to many cases

debit_plot

Visualize DEBIT results

debit

The DEBIT (descriptive binary) test

decimal_places_df

Count decimal places in a data frame

decimal_places

Count decimal places

disperse

Vary hypothetical group sizes

duplicate_count_colpair

Count duplicate values by column

duplicate_count

Count duplicate values

duplicate_detect

Detect duplicate values

duplicate_tally

Count duplicates at each observation

fractional-rounding

Generalized rounding to the nearest fraction of a specified denominato...

function_map_seq

Create new *_map_seq() functions

function_map_total_n

Create new *_map_total_n() functions

function_map

Create new *_map() functions

grim_granularity

Granularity of non-continuous scales

grim_map_seq

GRIM-testing with dispersed inputs

grim_map_total_n

GRIM-testing with hypothetical group sizes

grim_map

GRIM-test many cases at once

grim_plot

Visualize GRIM test results

grim_ratio_upper

Upper bound for the GRIM ratio

grim-stats

Possible GRIM inconsistencies

grim

The GRIM test (granularity-related inconsistency of means)

grimmer_map_seq

GRIMMER-testing with dispersed inputs

grimmer_map_total_n

GRIMMER-testing with hypothetical group sizes

grimmer_map

GRIMMER-test many cases at once

grimmer

The GRIMMER test (granularity-related inconsistency of means mapped to...

is_numeric_like

Test whether a vector is numeric or coercible to numeric

manage_helper_col

Helper column operations

manage_key_colnames

Enable name-independent key column identification

parens-extractors

Extract substrings from before and inside parentheses

pipe

Pipe operator

reround

General interface to reconstructing rounded numbers

restore_zeros

Restore trailing zeros

reverse_map_seq

Reverse the *_map_seq() process

reverse_map_total_n

Reverse the *_map_total_n() process

rounding_bias

Compute rounding bias

rounding-common

Common rounding procedures

rounding-uncommon

Uncommon rounding procedures

row_to_colnames

Turn row values into column names

scrutiny-package

scrutiny: Error Detection in Science

sd-binary

Standard deviation of binary data

seq_disperse

Sequence generation with dispersion at decimal level

seq_length

Set sequence length

seq_test_ranking

Rank sequence test results

seq-decimal

Sequence generation at decimal level

seq-predicates

Is a vector a certain kind of sequence?

split_by_parens

Split columns by parentheses, brackets, braces, or similar

subset-superset

Test for subsets, supersets, and equal sets

tidyeval

Tidy eval helpers

unnest_consistency_cols

Unnest a test result column

unround

Reconstruct rounding bounds

write_doc_audit_seq

Documentation template for audit_seq()

write_doc_audit_total_n

Documentation template for audit_total_n()

write_doc_audit

Documentation template for audit()

write_doc_factory_map_conventions

Documentation template for function factory conventions

Test published summary statistics for consistency (Brown and Heathers, 2017, <doi:10.1177/1948550616673876>; Allard, 2018, <https://aurelienallard.netlify.app/post/anaytic-grimmer-possibility-standard-deviations/>; Heathers and Brown, 2019, <https://osf.io/5vb3u/>). The package also provides infrastructure for implementing new error detection techniques.

  • Maintainer: Lukas Jung
  • License: MIT + file LICENSE
  • Last published: 2024-09-22