Abstract
Broad application of statistical and data analytic tools is essential for the cost-effective completion of audits. Fortunately, R has become the go-to language for analytics, and offers many features that reduce the cost of data acquisition, preparation, exploration, and summarization. It provides a scientific basis for audit decisions underlying the auditor’s opinion. Effective legal defense of audit methods is predicated on data analytics and statistical methods. This chapter summarizes the subset of R capabilities that are germane to an audit.
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Christopher Westland, J. (2024). Foundations of Audit Analytics. In: Audit Analytics. Use R!. Springer, Cham. https://doi.org/10.1007/978-3-031-47464-4_2
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DOI: https://doi.org/10.1007/978-3-031-47464-4_2
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