Combine a list of multiple viewr objects into a single viewr object

bind_viewr_objects(obj_list)

Arguments

obj_list

A list of viewr objects

Value

A single viewr object (tibble or data.frame with attribute pathviewR_steps that includes "viewr") that combines all the rows of the source viewr objects in obj_list. Metadata may not necessarily be retained and therefore attributes should be used with caution.

See also

Author

Vikram B. Baliga

Examples

## Since we only have one example file of each type provided ## in pathviewR, we will simply import the same example multiple ## times to simulate batch importing. Replace the contents of ## the following list with your own list of files to be imported. ## Make a list of the same example file 3x import_list <- c(rep( system.file("extdata", "pathviewR_motive_example_data.csv", package = 'pathviewR'), 3 )) ## Batch import motive_batch_imports <- import_batch(import_list, import_method = "motive", import_messaging = TRUE)
#> File 1 imported.
#> File 2 imported.
#> File 3 imported.
## Batch cleaning of these imported files ## via clean_viewr_batch() motive_batch_cleaned <- clean_viewr_batch( file_announce = TRUE, motive_batch_imports, desired_percent = 50, max_frame_gap = "autodetect", span = 0.95 )
#> autodetect is an experimental feature -- please report issues.
#> File 1 has been cleaned successfully.
#> autodetect is an experimental feature -- please report issues.
#> File 2 has been cleaned successfully.
#> autodetect is an experimental feature -- please report issues.
#> File 3 has been cleaned successfully.
## Alternatively, use import_and_clean_batch() to ## combine import with cleaning on a batch of files motive_batch_import_and_clean <- import_and_clean_batch( import_list, import_method = "motive", import_messaging = TRUE, motive_batch_imports, desired_percent = 50, max_frame_gap = "autodetect", span = 0.95 )
#> File 1 imported.
#> File 2 imported.
#> File 3 imported.
#> autodetect is an experimental feature -- please report issues.
#> autodetect is an experimental feature -- please report issues.
#> autodetect is an experimental feature -- please report issues.
## Each of these lists of objects can be bound into ## one viewr object (i.e. one tibble) via ## bind_viewr_objects() motive_bound_one <- bind_viewr_objects(motive_batch_cleaned) motive_bound_two <- bind_viewr_objects(motive_batch_import_and_clean) ## Either route results in the same object ultimately: identical(motive_bound_one, motive_bound_two)
#> [1] TRUE