Package: arkhe 1.6.0

Nicolas Frerebeau

arkhe: Tools for Cleaning Rectangular Data

A dependency-free collection of simple functions for cleaning rectangular data. This package allows to detect, count and replace values or discard rows/columns using a predicate function. In addition, it provides tools to check conditions and return informative error messages.

Authors:Nicolas Frerebeau [aut, cre], Brice Lebrun [ctb], Université Bordeaux Montaigne [fnd], CNRS [fnd]

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NEWS

# Install 'arkhe' in R:

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

Bug tracker:https://github.com/tesselle/arkhe/issues

On CRAN:

data-cleaning statistics

121 exports 10 stars 2.99 score 0 dependencies 10 dependents 588 downloads

Last updated 5 months agofrom:fcb080b9d9 (on v1.6.0)

Exports:%+%%||%append_rownames assert_colnames assert_constant assert_count assert_decreasing assert_dimensions assert_dimnames assert_empty assert_even assert_filled assert_function assert_greater assert_increasing assert_infinite assert_length assert_lengths assert_lower assert_missing assert_names assert_negative assert_odd assert_package assert_positive assert_rownames assert_scalar assert_square assert_symmetric assert_type assert_unique assert_whole assign_colnames assign_rownames bootstrap check_class circle clean_whitespace compact compact_cols compact_rows confidence_binomial confidence_mean confidence_multinomial count describe detect discard discard_cols discard_rows get_columns get_rows has_duplicates has_infinite has_length has_missing has_names inch2line interval_credible interval_hdr is_atomic is_character is_constant is_decreasing is_double is_empty is_error is_even is_greater is_increasing is_integer is_list is_logical is_lower is_message is_negative is_numeric is_odd is_positive is_scalar_atomic is_scalar_character is_scalar_double is_scalar_integer is_scalar_list is_scalar_logical is_scalar_numeric is_scalar_vector is_square is_symmetric is_unique is_vector is_warning is_whole is_zero jackknife keep keep_cols keep_rows label_auto label_percent math_gcd math_lcm needs palette_color_continuous palette_color_discrete palette_shape palette_size remove_constant remove_empty remove_Inf remove_NA remove_zero replace_empty replace_Inf replace_NA replace_zero scale_range seek_columns seek_rows sparsity validate

Dependencies:

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Convert Row Names to an Explicit Column	append append_rownames append_rownames,data.frame-method append_rownames-method
Check Numeric Trend	assert_constant assert_decreasing assert_increasing
Check Data	assert_data assert_infinite assert_missing assert_unique
Check Object Length/Dimensions	assert_dimensions assert_empty assert_filled assert_length assert_lengths
Check Numeric Relations	assert_greater assert_lower
Check Object Names	assert_colnames assert_dimnames assert_names assert_rownames
Check Numeric Values	assert_count assert_even assert_negative assert_numeric assert_odd assert_positive assert_whole
Check the Availability of a Package	assert_package needs
Check Matrix	assert_square assert_symmetric
Check Data Types	assert_function assert_scalar assert_type
Assign a Specific Row/Column to the Column/Row Names	assign assign_colnames assign_colnames,data.frame-method assign_colnames-method assign_rownames assign_rownames,data.frame-method assign_rownames-method
Bootstrap Estimation	bootstrap bootstrap,numeric-method bootstrap-method
Remove Leading/Trailing Whitespace	clean_whitespace clean_whitespace,data.frame-method clean_whitespace,matrix-method clean_whitespace-method
Remove Empty Rows/Columns	compact compact,ANY-method compact-method compact_cols compact_cols,ANY-method compact_cols-method compact_rows compact_rows,ANY-method compact_rows-method
Concatenate	%+% concat
Confidence Interval for Binomial Proportions	confidence_binomial confidence_binomial,numeric-method confidence_binomial-method
Confidence Interval for a Mean	confidence_mean confidence_mean,numeric-method confidence_mean-method
Confidence Interval for Multinomial Proportions	confidence_multinomial confidence_multinomial,numeric-method confidence_multinomial-method
Count Values Using a Predicate	count count,data.frame-method count,matrix-method count-method
Data Description	describe describe,ANY-method describe-method
Find Rows/Columns Using a Predicate	detect detect,ANY-method detect-method
Remove Rows/Columns Using a Predicate	discard discard,ANY-method discard-method discard_cols discard_cols,ANY-method discard_cols-method discard_rows discard_rows,ANY-method discard_rows-method
Get Rows/Columns by Name	get get_columns get_columns,data.frame-method get_columns-method get_rows get_rows,data.frame-method get_rows-method
Bayesian Credible Interval	interval_credible interval_credible,numeric-method interval_credible-method
Highest Density Regions	interval_hdr interval_hdr,numeric,missing-method interval_hdr,numeric,numeric-method interval_hdr-method
Scalar Type Predicates	is_scalar is_scalar_atomic is_scalar_character is_scalar_double is_scalar_integer is_scalar_list is_scalar_logical is_scalar_numeric is_scalar_vector
Jackknife Estimation	jackknife jackknife,numeric-method jackknife-method
Keep Rows/Columns Using a Predicate	keep keep,ANY-method keep-method keep_cols keep_cols,ANY-method keep_cols-method keep_rows keep_rows,ANY-method keep_rows-method
Greatest Common Divisor	math_gcd math_gcd,numeric,numeric-method math_gcd-method
Least Common Multiple	math_lcm math_lcm,numeric,numeric-method math_lcm-method
Default value for NULL	%\|\|% null
Color Mapping	palette_color palette_color_continuous palette_color_discrete
Symbol Mapping	palette_shape
Symbol Size Mapping	palette_size
Matrix Predicates	is_square is_symmetric predicate-matrix
Numeric Predicates	is_even is_negative is_odd is_positive is_whole is_zero predicate-numeric
Numeric Trend Predicates	is_constant is_decreasing is_greater is_increasing is_lower predicate-trend
Type Predicates	is_atomic is_character is_double is_error is_integer is_list is_logical is_message is_numeric is_vector is_warning predicate-type
Utility Predicates	has_duplicates has_infinite has_length has_missing has_names is_empty is_unique predicate-utils
Remove Constant Columns	remove_constant remove_constant,ANY-method remove_constant-method
Remove Rows/Columns with Empty String	remove_empty remove_empty,ANY-method remove_empty-method
Remove Rows/Columns with Infinite Values	remove_Inf remove_Inf,ANY-method remove_Inf-method
Remove Rows/Columns with Missing Values	missing remove_NA remove_NA,ANY-method remove_NA-method
Remove Rows/Columns with Zeros	remove_zero remove_zero,ANY-method remove_zero-method zero
Replace Empty String	replace_empty replace_empty,data.frame-method replace_empty,matrix-method replace_empty-method
Replace Infinite Values	replace_Inf replace_Inf,data.frame-method replace_Inf,matrix-method replace_Inf-method
Replace Missing Values	replace_NA replace_NA,data.frame-method replace_NA,matrix-method replace_NA-method
Replace Zeros	replace_zero replace_zero,data.frame-method replace_zero,matrix-method replace_zero-method
Rescale Continuous Vector	scale_range
Search Rows/Columns by Name	seek seek_columns seek_columns,data.frame-method seek_columns-method seek_rows seek_rows,data.frame-method seek_rows-method
Sparsity	sparsity sparsity,data.frame-method sparsity,matrix-method sparsity-method
Validate a Condition	validate