| scale_coords_df | R Documentation | 
Scales coordinate variable pairs in a data.frame by multiplying them with a scale factor.
scale_coords_df(
  df,
  scale_fct = 1,
  coord_vars = list(pair1 = c("x", "y"), pair2 = c("xend", "yend"), pair3 = c("col",
    "row"), pair4 = c("imagecol", "imagerow")),
  verbose = FALSE,
  error = FALSE,
  ...
)
| df | Data.frame with numeric coordinate variable pairs. | 
| scale_fct | Numeric value bigger than 0. If used within  | 
| coord_vars | Input that denotes the variable pairs. Can be a vector of length two. Or a list of vectors of length two. First element in vector sets name for the x-axis, second value sets name for the y axis. If a list is provided, each slot is checked and invalid slots are removed from the iteration. | 
| verbose | Logical. If  (Warning messages will always be printed.) | 
| error | Logical. If  | 
| ... | Additional arguments given to  | 
Usually a data.frame that contains variables that refer
to x- and y-coordinates has one single pair of these. E.g. one
variable named x and one variable named y. If so, coord_vars = c("x", "y")
or coord_vars = list(pair1 = c("x", "y") is appropriate (naming the list
is not necessary). If the data.frame contains several variables that
refer to the same axes but in different scales they can be adjusted altogether.
E.g. a data.frame that contains variable pair x and y as well as col
and row needs coord_vars = list(pair1 = c("x", "y"), pair2 = c("col", "row").
For a pair to be adjusted both variables must be found, else the adjustment
is skipped and the function gives feedback if verbose = TRUE or throws an
error if error = TRUE. Default sets both to FALSE which results in
silent skipping.
Adjusted data.frame.
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