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Replaced all ppc_*() functions with many ppc_*() for accuracy, corrected the return type to data frame, and refined wording to avoid overclaiming functionality
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R/ppc-distributions.R

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#' @section Plot Descriptions:
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#' \describe{
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#' \item{`ppc_data()`}{
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#' This function prepares data for plotting with **ggplot2**. It is the
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#' data-preparation back end for all the `ppc_*()` plotting functions, and
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#' users can call it directly to create custom PPC plots using ggplot2. The
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#' function returns a data frame (or list of data frames) that can be used to
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#' build ggplot objects. This is useful when you want to customize the
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#' appearance of PPC plots beyond what the built-in plotting functions allow,
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#' or when you want to create entirely new types of PPC visualizations.
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#' This function prepares data for plotting with **ggplot2**. It is a
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#' general-purpose data-preparation helper used by many `ppc_*()` plotting
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#' functions, and users can call it directly to create custom PPC plots using
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#' ggplot2. The function returns a data frame that can be used to build ggplot
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#' objects. This is useful when you want to customize the appearance of PPC
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#' plots beyond what the built-in plotting functions allow, or when you want to
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#' construct new types of PPC visualizations based on the same underlying data.
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#' }
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#' \item{`ppc_hist(), ppc_freqpoly(), ppc_dens(), ppc_boxplot()`}{
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#' A separate histogram, shaded frequency polygon, smoothed kernel density

man/PPC-distributions.Rd

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