Update interface to match assesspy 2.0#13
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jeancochrane
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Dec 12, 2024
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| if (method == "quantile") { | ||
| out <- quantile_outlier(x, probs = probs) | ||
| } else { | ||
| out <- iqr_outlier(x, mult = mult) | ||
| } |
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No ifelse here since we're returning a vector, in which case ifelse coerces the return value to the same shape as the test.
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| is.vector(x) | ||
| is.numeric(x) | ||
| !is.nan(x) | ||
| length(x) > 2 | ||
| all(is.finite(x) | is.na(x)) # All values are finite OR are NA | ||
| is.numeric(gap) | ||
| gap > 0 | ||
| gap < 1 | ||
| is.vector(bounds) | ||
| is.numeric(bounds) | ||
| bounds[2] > bounds[1] |
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Moving all of the input checks up here from the sub-functions.
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| #' @describeIn detect_chasing CDF gap method for detecting sales chasing. | ||
| #' @param bounds Ratio boundaries to use for detection. The CDF method will | ||
| #' return TRUE if the CDF gap exceeding the threshold is found within these | ||
| #' bounds. The distribution method will calculate the percentage of ratios | ||
| #' within these bounds for the actual data and an ideal normal distribution. | ||
| #' Expanding these bounds increases likelihood of detection. | ||
| #' @param cdf_gap Ratios that have bunched up around a particular value | ||
| #' (typically 1) will appear as a flat spot on the CDF. The longer this flat | ||
| #' spot, the worse the potential sales chasing. This variable indicates the | ||
| #' length of that flat spot and can be thought of as the proportion of ratios | ||
| #' that have the same value. For example, 0.03 means that 3% of ratios share | ||
| #' the same value. |
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I dropped the docs for these functions, since they're no longer public.
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This PR is the companion to ccao-data/assesspy#24, updating the interface to match the latest version of the Python package.
Warning
This is a breaking refactor. It significantly changes the API of some functions and deprecates others. As such, this PR is intended to target a new major version release (1.0.0).
Breaking changes
estimate,sale_price) and return the same output (a single number). Previously, some metrics had one input (COD) or different outputs (PRD)detect_chasingandis_outlierare no longer exported to the user. Instead they can be selected via an argument in their respective functionsdetect_chasingis renamed tois_sales_chasedfor consistency withis_outlier