process_gfdata: Process Preliminary and Finalized 'GreenFeed' Data

In greenfeedr: Process and Report 'GreenFeed' Data

Process Preliminary and Finalized 'GreenFeed' Data

Description

Processes and calculates daily and weekly averages of 'GreenFeed' data. Handles data filtering, aggregation, and summarization to facilitate further analysis.

Arguments

data	a data frame with preliminary or finalized 'GreenFeed' data
start_date	a character string representing the start date of the study (format: "dmy")
end_date	a character string representing the end date of the study (format: "dmy")
param1	an integer representing the number of records per day to be consider for analysis
param2	an integer representing the number of days with records per week to be consider for analysis
min_time	an integer representing the minimum number of minutes for a records to be consider for analysis (default: 2 minutes)
cutoff	an integer specifying the range for identifying outliers (default: 3 SD)

Value

A list of three data frames:

filtered_data	data frame with filtered 'GreenFeed' data
daily_data	data frame with daily processed 'GreenFeed' data
weekly_data	data frame with weekly processed 'GreenFeed' data

Examples

file <- system.file("extdata", "StudyName_GFdata.csv", package = "greenfeedr")
datafile <- readr::read_csv(file)

gf_data <- process_gfdata(
  data = datafile,
  start_date = "2024-05-13",
  end_date = "2024-05-25",
  param1 = 2,
  param2 = 3,
  min_time = 2
)
head(gf_data)

greenfeedr documentation built on April 4, 2025, 12:22 a.m.