This package is considered a duplicate. The official version of this package is found at:https://ropensci.r-universe.dev/assertr

Package: assertr 3.0.1

assertr: Assertive Programming for R Analysis Pipelines

Provides functionality to assert conditions that have to be met so that errors in data used in analysis pipelines can fail quickly. Similar to 'stopifnot()' but more powerful, friendly, and easier for use in pipelines.

Authors:Tony Fischetti [aut, cre]

assertr_3.0.1.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
assertr/json (API)

# Install 'assertr' in R:

install.packages('assertr', repos = c('https://tonyfischetti.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ropensci/assertr/issues

Pkgdown/docs site:https://docs.ropensci.org

On CRAN:

analysis-pipeline assertion-library assertion-methods assertions peer-reviewed predicate-functions

11.32 score 484 stars 9 packages 804 scripts 2.1k downloads 37 exports 16 dependencies

Last updated from:e484665dba. Checks:9 OK. Indexed: no.

Target	Result	Time
linux-devel	OK	112
source / vignettes	OK	169
linux-release	OK	102
macos-release	OK	91
macos-oldrel	OK	105
windows-devel	OK	73
windows-release	OK	53
windows-oldrel	OK	71
wasm-release	OK	88

Exports:assert assert_rows chain_end chain_start col_concat defect_append defect_df_return defect_report duplicates_across_cols error_append error_df_return error_logical error_report error_return error_stop has_all_names has_class has_only_names in_set insist insist_rows is_uniq just_warn maha_dist not_na num_row_NAs success_append success_continue success_df_return success_logical success_report verify warn_report warning_append within_bounds within_n_mads within_n_sds

Dependencies:cli dplyr generics glue lifecycle magrittr MASS pillar pkgconfig R6 rlang tibble tidyselect utf8 vctrs withr

Assertive R Programming with assertr

Rendered fromassertr.Rmdusingknitr::rmarkdown

Last update: 2021-01-28
Started: 2015-01-20

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Raises error if predicate is FALSE in any columns selected	assert
Raises error if predicate is FALSE for any row after applying row reduction function	assert_rows
assertr: Assertive programming for R analysis pipeline.	assertr-package assertr
Chaining functions	chaining_functions chain_end chain_start
Concatenate all columns of each row in data frame into a string	col_concat
Checks if row contains at least one value duplicated in its column	duplicates_across_cols
Generates random ID string	generate_id
Returns TRUE if data.frame or list has specified names	has_all_names
Returns TRUE if data.frame columns have a specified class	has_class
Returns TRUE if data.frame or list has only the specified names	has_only_names
Returns TRUE if value in set	in_set
Raises error if dynamically created predicate is FALSE in any columns selected	insist
Raises error if dynamically created predicate is FALSE for any row after applying row reduction function	insist_rows
Returns TRUE where no elements appear more than once	is_uniq
Computes mahalanobis distance for each row of data frame	maha_dist
Returns TRUE if value is not NA	not_na
Counts number of NAs in each row	num_row_NAs
Printing assertr's assert errors	print.assertr_assert_error
Printing assertr's defect	print.assertr_defect
Printing assertr's success	print.assertr_success
Printing assertr's verify errors	print.assertr_verify_error
Success and error functions	defect_append defect_df_return defect_report error_append error_df_return error_logical error_report error_return error_stop just_warn success_and_error_functions success_append success_continue success_df_return success_logical success_report warning_append warn_report
Summarizing assertr's assert errors	summary.assertr_assert_error
Summarizing assertr's verify errors	summary.assertr_verify_error
Raises error if expression is FALSE anywhere	verify
Creates bounds checking predicate	within_bounds
Return a function to create robust z-score checking predicate	within_n_mads
Return a function to create z-score checking predicate	within_n_sds