Fix typos part III (#5313)

* Fix typos

* Lingering fix

R/coord-cartesian-.R

@@ -43,7 +43,7 @@
 #' # limits. You can set the limits precisely by setting expand = FALSE
 #' p + coord_cartesian(xlim = c(325, 500), expand = FALSE)
 #'
-#' # Simiarly, we can use expand = FALSE to turn off expansion with the
+#' # Similarly, we can use expand = FALSE to turn off expansion with the
 #' # default limits
 #' p + coord_cartesian(expand = FALSE)
 #'

R/geom-tile.R

@@ -15,7 +15,7 @@
 #'
 #' @details
 #' `geom_rect()` and `geom_tile()`'s respond differently to scale
-#' transformations due to their parametrisation. In `geom_rect()`, the scale
+#' transformations due to their parameterisation. In `geom_rect()`, the scale
 #' transformation is applied to the corners of the rectangles. In `geom_tile()`,
 #' the transformation is applied only to the centres and its size is determined
 #' after transformation.

R/guide-.R

@@ -1,6 +1,6 @@
 #' Guide constructor
 #'
-#' A constructor function for guides, which performs some standard compatability
+#' A constructor function for guides, which performs some standard compatibility
 #' checks between the guide and provided arguments.
 #'
 #' @param ... Named arguments that match the parameters of `super$params` or

R/guide-colorsteps.R

@@ -13,7 +13,7 @@
 #'   shown irrespective of the value of `show.limits`.
 #' @param ticks A theme object for rendering tick marks at the colourbar.
 #'   Usually, the object of `element_line()` is expected. If `element_blank()`
-#'   (default), no tick marks are drawn. For backward compatability, can also
+#'   (default), no tick marks are drawn. For backward compatibility, can also
 #'   be a logical which translates `TRUE` to `element_line()` and `FALSE` to
 #'   `element_blank()`.
 #' @inheritDotParams guide_colourbar -nbin -raster -ticks -available_aes

R/layer.R

@@ -49,7 +49,7 @@
 #' @param params Additional parameters to the `geom` and `stat`.
 #' @param key_glyph A legend key drawing function or a string providing the
 #'   function name minus the `draw_key_` prefix. See [draw_key] for details.
-#' @param layer_class The type of layer object to be constructued. This is
+#' @param layer_class The type of layer object to be constructed. This is
 #'   intended for ggplot2 internal use only.
 #' @keywords internal
 #' @examples

R/position-dodge.R

@@ -5,7 +5,7 @@
 #' be specified in the global or `geom_*` layer. Unlike `position_dodge()`,
 #' `position_dodge2()` works without a grouping variable in a layer.
 #' `position_dodge2()` works with bars and rectangles, but is
-#' particulary useful for arranging box plots, which
+#' particularly useful for arranging box plots, which
 #' can have variable widths.
 #'
 #' @param width Dodging width, when different to the width of the individual

R/scale-.R

@@ -375,7 +375,7 @@ binned_scale <- function(aesthetics, scale_name, palette, name = waiver(),
 #' - `dimension()` For continuous scales, the dimension is the same concept as the limits.
 #'   For discrete scales, `dimension()` returns a continuous range, where the limits
 #'   would be placed at integer positions. `dimension()` optionally expands
-#'   this range given an expantion of length 4 (see [expansion()]).
+#'   this range given an expansion of length 4 (see [expansion()]).
 #'
 #' - `break_info()` Returns a `list()` with calculated values needed for the `Coord`
 #'   to transform values in transformed data space. Axis and grid guides also use

R/scale-brewer.R

@@ -69,7 +69,7 @@
 #'   theme_dark()
 #' }
 #'
-#' # Use distiller variant with continous data
+#' # Use distiller variant with continuous data
 #' v <- ggplot(faithfuld) +
 #'   geom_tile(aes(waiting, eruptions, fill = density))
 #' v

R/scale-colour.R

@@ -44,7 +44,7 @@
 #' palette) are not suitable to support all viewers, especially those with
 #' color vision deficiencies. Using `viridis` type, which is perceptually
 #' uniform in both colour and black-and-white display is an easy option to
-#' ensure good perceptive properties of your visulizations.
+#' ensure good perceptive properties of your visualizations.
 #' The colorspace package offers functionalities
 #' - to generate color palettes with good perceptive properties,
 #' - to analyse a given color palette, like emulating color blindness,

R/scale-manual.R

@@ -40,7 +40,7 @@
 #' palette) are not suitable to support all viewers, especially those with
 #' color vision deficiencies. Using `viridis` type, which is perceptually
 #' uniform in both colour and black-and-white display is an easy option to
-#' ensure good perceptive properties of your visulizations.
+#' ensure good perceptive properties of your visualizations.
 #' The colorspace package offers functionalities
 #' - to generate color palettes with good perceptive properties,
 #' - to analyse a given color palette, like emulating color blindness,

R/scale-viridis.R

@@ -49,7 +49,7 @@
 #' # the order of colour can be reversed
 #' p + scale_fill_viridis_d(direction = -1)
 #'
-#' # Use viridis_c with continous data
+#' # Use viridis_c with continuous data
 #' (v <- ggplot(faithfuld) +
 #'   geom_tile(aes(waiting, eruptions, fill = density)))
 #' v + scale_fill_viridis_c()

R/stat-contour.R

@@ -5,7 +5,7 @@
 #' @eval rd_aesthetics("stat", "contour_filled")
 #' @eval rd_computed_vars(
 #'   .details = "The computed variables differ somewhat for contour lines
-#'   (compbuted by `stat_contour()`) and contour bands (filled contours,
+#'   (computed by `stat_contour()`) and contour bands (filled contours,
 #'   computed by `stat_contour_filled()`). The variables `nlevel` and `piece`
 #'   are available for both, whereas `level_low`, `level_high`, and `level_mid`
 #'   are only available for bands. The variable `level` is a numeric or a factor

R/stat-sf-coordinates.R

@@ -19,7 +19,7 @@
 #' For the first step, you can use an arbitrary function via `fun.geometry`.
 #' By default, `function(x) sf::st_point_on_surface(sf::st_zm(x))` is used;
 #' `sf::st_point_on_surface()` seems more appropriate than `sf::st_centroid()`
-#' since lables and text usually are intended to be put within the polygon or
+#' since labels and text usually are intended to be put within the polygon or
 #' the line. `sf::st_zm()` is needed to drop Z and M dimension beforehand,
 #' otherwise `sf::st_point_on_surface()` may fail when the geometries have M
 #' dimension.

R/utilities.R

@@ -429,11 +429,11 @@ switch_orientation <- function(aesthetics) {
 #' features in the data correspond to:
 #'
 #' - `main_is_orthogonal`: This argument controls how the existence of only a `x`
-#'   or `y` aesthetic is understood. If `TRUE` then the exisiting aesthetic
+#'   or `y` aesthetic is understood. If `TRUE` then the existing aesthetic
 #'   would be then secondary axis. This behaviour is present in [stat_ydensity()]
-#'   and [stat_boxplot()]. If `FALSE` then the exisiting aesthetic is the main
+#'   and [stat_boxplot()]. If `FALSE` then the existing aesthetic is the main
 #'   axis as seen in e.g. [stat_bin()], [geom_count()], and [stat_density()].
-#' - `range_is_orthogonal`: This argument controls whether the existance of
+#' - `range_is_orthogonal`: This argument controls whether the existence of
 #'   range-like aesthetics (e.g. `xmin` and `xmax`) represents the main or
 #'   secondary axis. If `TRUE` then the range is given for the secondary axis as
 #'   seen in e.g. [geom_ribbon()] and [geom_linerange()].