A Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs

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Documentation for package ‘acro’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

acro_add_comments	Add comments to outputs
acro_add_exception	Adds an exception request to an output.
acro_crosstab	Compute a simple cross tabulation of two (or more) factors.
acro_custom_output	Adds an unsupported output to the results dictionary
acro_disable_rounding	Turns rounding off during a session
acro_disable_suppression	Turns suppression off during a session
acro_enable_rounding	Turns rounding on during a session
acro_enable_suppression	Turns suppression on during a session
acro_finalise	Creates a results file for checking.
acro_glm	Fits Logit or Probit model.
acro_hist	Histogram
acro_init	Initialise an ACRO object
acro_lm	Fits Ordinary Least Squares Regression
acro_pie	Pie chart
acro_pivot_table	Pivot table
acro_print_outputs	Prints the current results dictionary.
acro_remove_output	Remove outputs
acro_rename_output	Rename outputs
acro_summarise	Creates a new data frame. It returns one row for each combination of grouping variables; if there are no grouping variables, the output will have a single row summarising all observations in the input
acro_surv_func	Survival analysis
acro_table	Compute a simple cross tabulation of two (or more) factors.
create_factors	Convert data to factors and manage NA levels
is_excluded	Identify values to be excluded from an object
is_invalid	Identify empty values; NA or NaN in an object
lung	Lung Cancer Survival Data
nursery_data	Nursery Database
to_pandas_categorical	Convert an R factor to a Pandas Categorical