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.github/workflows/R-CMD-check.yaml

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cache-version: 3
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extra-packages: >
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any::rcmdcheck,
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Hmisc=?ignore-before-r=4.1.0,
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Hmisc=?ignore-before-r=4.2.0,
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quantreg=?ignore-before-r=4.3.0
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needs: check
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DESCRIPTION

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Package: ggplot2
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Version: 3.5.1.9000
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Title: Create Elegant Data Visualisations Using the Grammar of Graphics
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Version: 3.5.1.9000
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Authors@R: c(
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person("Hadley", "Wickham", , "[email protected]", role = "aut",
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comment = c(ORCID = "0000-0003-4757-117X")),
@@ -30,7 +30,7 @@ License: MIT + file LICENSE
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URL: https://ggplot2.tidyverse.org, https://github.com/tidyverse/ggplot2
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BugReports: https://github.com/tidyverse/ggplot2/issues
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Depends:
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R (>= 3.5)
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R (>= 4.0)
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Imports:
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cli,
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grDevices,
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knitr
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Config/Needs/website: ggtext, tidyr, forcats, tidyverse/tidytemplate
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Config/testthat/edition: 3
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Config/usethis/last-upkeep: 2024-10-24
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Encoding: UTF-8
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LazyData: true
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Roxygen: list(markdown = TRUE)
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'utilities-break.R'
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'utilities-grid.R'
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'utilities-help.R'
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'utilities-matrix.R'
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'utilities-patterns.R'
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'utilities-resolution.R'
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'utilities-tidy-eval.R'

LICENSE.md

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# MIT License
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Copyright (c) 2020 ggplot2 authors
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Copyright (c) 2024 ggplot2 core developer team
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal

NAMESPACE

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@@ -84,8 +84,6 @@ S3method(guide_train,default)
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S3method(guide_transform,default)
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S3method(heightDetails,titleGrob)
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S3method(heightDetails,zeroGrob)
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S3method(interleave,default)
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S3method(interleave,unit)
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S3method(limits,Date)
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S3method(limits,POSIXct)
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S3method(limits,POSIXlt)
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S3method(scale_type,numeric)
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S3method(scale_type,ordered)
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S3method(scale_type,sfc)
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S3method(single_value,default)
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S3method(single_value,factor)
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S3method(summary,ggplot)
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S3method(vec_cast,character.mapped_discrete)
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S3method(vec_cast,double.mapped_discrete)
@@ -426,6 +422,7 @@ export(get_alt_text)
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export(get_element_tree)
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export(get_geom_defaults)
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export(get_guide_data)
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export(get_labs)
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export(get_last_plot)
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export(get_layer_data)
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export(get_layer_grob)
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export(guides)
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export(has_flipped_aes)
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export(is.Coord)
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export(is.coord)
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export(is.facet)
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export(is.geom)
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export(is.ggplot)
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export(is.ggproto)
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export(is.guide)
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export(is.guides)
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export(is.layer)
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export(is.mapping)
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export(is.margin)
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export(is.position)
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export(is.scale)
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export(is.stat)
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export(is.theme)
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export(is.theme_element)
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export(label_both)
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export(label_bquote)
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export(label_context)

NEWS.md

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# ggplot2 (development version)
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* Fixed bug where binned scales wouldn't simultaneously accept transformations
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and function-limits (@teunbrand, #6144).
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* Fixed bug where the `ggplot2::`-prefix did not work with `stage()`
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(@teunbrand, #6104).
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* New `get_labs()` function for retrieving completed plot labels
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(@teunbrand, #6008).
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* Built-in `theme_*()` functions now have `ink` and `paper` arguments to control
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foreground and background colours respectively (@teunbrand)
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* The `summary()` method for ggplots is now more terse about facets
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* `annotate()` now warns about `stat` or `position` arguments (@teunbrand, #5151)
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* `guide_coloursteps(even.steps = FALSE)` now works with discrete data that has
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been formatted by `cut()` (@teunbrand, #3877).
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* `ggsave()` now offers to install svglite if needed (@eliocamp, #6166).
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# ggplot2 3.5.0
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R/aes-evaluation.R

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#' Below follows an overview of the three stages of evaluation and how aesthetic
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#' evaluation can be controlled.
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#'
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#' ## Stage 1: direct input
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#' ## Stage 1: direct input at the start
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#' The default is to map at the beginning, using the layer data provided by
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#' the user. If you want to map directly from the layer data you should not do
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#' anything special. This is the only stage where the original layer data can
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#' ```
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#'
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#' ## Complex staging
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#' If you want to map the same aesthetic multiple times, e.g. map `x` to a
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#' data column for the stat, but remap it for the geom, you can use the
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#' `stage()` function to collect multiple mappings.
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#' Sometimes, you may want to map the same aesthetic multiple times, e.g. map
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#' `x` to a data column at the start for the layer stat, but remap it later to
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#' a variable from the stat transformation for the layer geom. The `stage()`
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#' function allows you to control multiple mappings for the same aesthetic
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#' across all three stages of evaluation.
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#'
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#' ```r
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#' # Use stage to modify the scaled fill
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#' ggplot(mpg, aes(class, hwy)) +
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#' geom_boxplot(aes(fill = stage(class, after_scale = alpha(fill, 0.4))))
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#'
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#' # Using data for computing summary, but placing label elsewhere.
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#' # Also, we're making our own computed variable to use for the label.
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#' # Also, we're making our own computed variables to use for the label.
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#' ggplot(mpg, aes(class, displ)) +
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#' geom_violin() +
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#' stat_summary(
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#' )
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#' ```
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#'
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#' Conceptually, `aes(x)` is equivalent to `aes(stage(start = x))`, and
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#' `aes(after_stat(count))` is equivalent to `aes(stage(after_stat = count))`,
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#' and so on. `stage()` is most useful when at least two of its arguments are
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#' specified.
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#'
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#' ## Theme access
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#' The `from_theme()` function can be used to acces the [`element_geom()`]
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#' fields of the `theme(geom)` argument. Using `aes(colour = from_theme(ink))`
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}
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# Regex to determine if an identifier refers to a calculated aesthetic
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# The pattern includes ye olde '...var...' syntax, which was
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# deprecated in 3.4.0 in favour of `after_stat()`
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match_calculated_aes <- "^\\.\\.([a-zA-Z._]+)\\.\\.$"
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is_dotted_var <- function(x) {
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grepl(match_calculated_aes, x)
226-
}
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# Determine if aesthetic is calculated
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is_calculated_aes <- function(aesthetics, warn = FALSE) {
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vapply(aesthetics, is_calculated, warn = warn, logical(1), USE.NAMES = FALSE)
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if (is.null(x) || is.atomic(x)) {
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FALSE
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} else if (is.symbol(x)) {
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res <- is_dotted_var(as.character(x))
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# Test if x is a dotted variable
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res <- grepl(match_calculated_aes, as.character(x))
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if (res && warn) {
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what <- I(paste0("The dot-dot notation (`", x, "`)"))
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var <- gsub(match_calculated_aes, "\\1", as.character(x))
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333339
} else if (is_call(uq_expr, "stage")) {
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uq_expr <- call_match(uq_expr, stage)
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# Prefer stat mapping if present, otherwise original mapping (fallback to
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# scale mapping) but there should always be two arguments to stage()
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# scale mapping)
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uq_expr$after_stat %||% uq_expr$start %||% uq_expr$after_scale
338344
} else {
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expr
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}
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Map(default_label, names(mapping), mapping)
361367
}
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eval_aesthetics <- function(aesthetics, data, mask = NULL) {
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371+
env <- child_env(base_env())
372+
373+
# Here we mask functions, often to replace `stage()` with context appropriate
374+
# functions `stage_calculated()`/`stage_scaled()`.
375+
if (length(mask) > 0) {
376+
aesthetics <- substitute_aes(aesthetics, mask_function, mask = mask)
377+
}
378+
379+
evaled <- lapply(aesthetics, eval_tidy, data = data, env = env)
380+
names(evaled) <- names(aesthetics)
381+
compact(rename_aes(evaled))
382+
}
383+
384+
# `mask` is a list of functions where `names(mask)` indicate names of functions
385+
# that need to be replaced, and `mask[[i]]` is the function to replace it
386+
# with.
387+
mask_function <- function(x, mask) {
388+
if (!is.call(x)) {
389+
return(x)
390+
}
391+
nms <- names(mask)
392+
x[-1] <- lapply(x[-1], mask_function, mask = mask)
393+
if (!is_call(x, nms)) {
394+
return(x)
395+
}
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for (nm in nms) {
397+
if (is_call(x, nm)) {
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x[[1]] <- mask[[nm]]
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return(x)
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}
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}
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}
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R/aes.R

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rename_aes(aes)
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}
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#' @export
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#' @rdname is_tests
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is.mapping <- function(x) inherits(x, "uneval")
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# Wrap symbolic objects in quosures but pull out constants out of
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# quosures for backward-compatibility
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new_aesthetic <- function(x, env = globalenv()) {
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177181
x <- sub("color", "colour", x, fixed = TRUE)
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179183
# convert old-style aesthetics names to ggplot version
180-
revalue(x, ggplot_global$base_to_ggplot)
184+
convert <- ggplot_global$base_to_ggplot
185+
convert <- convert[names(convert) %in% x]
186+
if (length(convert) > 0) {
187+
x[match(names(convert), x)] <- convert
188+
}
189+
x
181190
}
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183192
# x is a list of aesthetic mappings, as generated by aes()
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189198
}
190199
x
191200
}
192-
substitute_aes <- function(x) {
201+
202+
# `x` is assumed to be a strict list of quosures;
203+
# it should have no non-quosure constants in it, even though `aes()` allows it.
204+
substitute_aes <- function(x, fun = standardise_aes_symbols, ...) {
193205
x <- lapply(x, function(aesthetic) {
194-
as_quosure(standardise_aes_symbols(quo_get_expr(aesthetic)), env = environment(aesthetic))
206+
as_quosure(fun(quo_get_expr(aesthetic), ...), env = environment(aesthetic))
195207
})
196208
class(x) <- "uneval"
197209
x
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448460
quo <- inject(enquo0(!!sym(name)), frame)
449461
expr <- quo_get_expr(quo)
450462

451-
if (!is_missing(expr) && is_triple_bang(expr)) {
463+
is_triple_bang <- !is_missing(expr) &&
464+
is_bang(expr) && is_bang(expr[[2]]) && is_bang(expr[[c(2, 2)]])
465+
if (is_triple_bang) {
452466
# Evaluate `!!!` operand and create a list of quosures
453467
env <- quo_get_env(quo)
454468
xs <- eval_bare(expr[[2]][[2]][[2]], env)

R/backports.R

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as.mask <- grid::as.mask
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}
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if ("linearGradient" %in% getNamespaceExports("grid")) {
70-
linearGradient <- grid::linearGradient()
70+
linearGradient <- grid::linearGradient
7171
}
7272
})

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