Should data have been exported at an incorrect scale, apply an isometric transformation to the position data and associated mean marker errors (if found)
rescale_tunnel_data(obj_name, original_scale = 0.5, desired_scale = 1, ...)
obj_name | The input viewr object; a tibble or data.frame with attribute
|
---|---|
original_scale | The original scale at which data were exported. See Details if unknown. |
desired_scale | The desired scale |
... | Additional arguments passed to/from other pathviewR functions |
A viewr
object that has position data (and
mean_marker_error data
, if found) adjusted by the ratio of
desired_scale/original_scale
.
The desired_scale
is divided by the original_scale
to
determine a scale_ratio
internally. If the original_scale
is
not explicitly known, set it to 1 and then set desired_scale
to be
whatever scaling ratio you have in mind. E.g. setting original_scale
to 1 and then desired_scale
to 0.7 will multiply all position axis
values by 0.7.
The default arguments of original_scale = 0.5
and
desired_scale = 1
apply a doubling of tunnel size isometrically.
Vikram B. Baliga
## Import the example Motive data included in the package motive_data <- read_motive_csv(system.file("extdata", "pathviewR_motive_example_data.csv", package = 'pathviewR')) ## Clean the file. It is generally recommended to clean up to the ## "gather" step before running rescale_tunnel_data(). motive_gathered <- motive_data %>% relabel_viewr_axes() %>% gather_tunnel_data() ## Now rescale the tunnel data motive_rescaled <- motive_gathered %>% rescale_tunnel_data(original_scale = 0.5, desired_scale = 1) ## See the difference in data range e.g. for length range(motive_rescaled$position_length)#> [1] 0.07131 5.35294#> [1] 0.035655 2.676470