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Calculate visits with no feed available per animal per day

Source: R/non_nutritive_visits.R
calculate_no_feed_visits.Rd

Calculates the number of visits for each animal on each day when there was no feed available (start weight less than or equal to calibration error and intake less than or equal to calibration error).

Usage

calculate_no_feed_visits(
  data,
  cfg = qc_config(),
  sort = 0,
  id_col = id_col2(),
  intake_col = intake_col2(),
  start_weight_col = start_weight_col2()
)

Arguments

data

A named list of daily data frames (one per day), each containing visit-level data.

cfg

A configuration list created by qc_config().

sort

Numeric. How to sort results by visit frequency:

  • 0 (default) - no sorting

  • 1 - ascending (lowest to highest)

  • -1 - descending (highest to lowest)

id_col

Animal ID column name (default current global value from id_col2())

intake_col

Intake column name (default current global value from intake_col2())

start_weight_col

Start weight column name (default current global value from start_weight_col2())

Value

A named list of data frames, one per day, each containing columns for animal ID and the count of visits with no feed available. If sort is specified, results are sorted by the visit count column.

Examples

toy_data <- list(
  "2023-01-01" = data.frame(
    cow = c("1", "2", "3", "1"),
    intake = c(0.2, 0.3, 0.4, 0.0),
    start_weight = c(0.3, 0.2, 0.1, 0.4)
  )
)
cfg <- qc_config(calibration_error = 0.5)

# No sorting (default)
result <- calculate_no_feed_visits(toy_data, cfg = cfg)
result[[1]]
#> # A tibble: 3 × 2
#>   cow   number_of_visits_when_no_feed
#>   <chr>                         <int>
#> 1 1                                 2
#> 2 2                                 1
#> 3 3                                 1

# Sort descending (highest to lowest)
result_desc <- calculate_no_feed_visits(toy_data, cfg = cfg, sort = -1)
result_desc[[1]]
#> # A tibble: 3 × 2
#>   cow   number_of_visits_when_no_feed
#>   <chr>                         <int>
#> 1 1                                 2
#> 2 2                                 1
#> 3 3                                 1