watchme_aggregate: Creates a table with events from the image level annotation...

In masalmon/watchme: Analysis of Autographer Images Annotations

Description

Creates a table with events from the image level annotation information.

Usage

watchme_aggregate(df, min_no_pictures = 1)

Arguments

df	the data created by using watchme_prepare_data
min_no_pictures	the minimal number of images for defining an event. Default is 1.

Value

A tbl_df with

• event code

• start time (POSIXt)

• end time (POSIXt)

• no of pictures in the event

• index of the first picture in the event

• index of the last picture in the event

• group of the code

• meaning of the code

• duration of the event in seconds

• the attribute dico tibble for defining the codes with at least Code and Meaning column, possibly Group column for having groups of codes (e.g. sport encompasses running and swimming)

event index, , , and event_code (character).

Examples

data('coding_example')
event_table <- watchme_aggregate(df = coding_example)
event_table
event_table2 <- watchme_aggregate(df = coding_example, min_no_pictures = 2)
event_table2

masalmon/watchme documentation built on May 21, 2019, 12:41 p.m.