Function reference • tgc

All functions

TGC_calculate_coefficent(): Calculate the thermal growth coefficient

TGC_calculate_degree_days(): Use TGC model to calculate degree days required to grow from initial to final weight

TGC_calculate_final_weight(): Calculate final body weight using TGC model

TGC_calculate_initial_weight(): Calculate initial body weight using TGC model

apply_dd_filters(): Apply filters to prepare data for degree-day calculation

calc_mode(): Extract the most common value in a vector

calculate_event_duration(): Calculate the duration of time VALUE exceeds a threshold (above or below)

check_for_data_gaps(): Check for substantial gaps in the time series

count_degree_days(): Count number of degree-days

count_growing_days(): Count number of days that were suitable for growth

count_max_event_days(): Count the maximum number of days VALUE exceeds a threshold (above or below)

create_station_label(): Assign a label in the form Station Name Long Season

filter_in_growing_seasons(): Keep observations that occur during growing seasons

filter_in_growing_seasons_single(): Keep observations that occur during growing seasons

filter_out_heat_stress_events(): Filter out observations that occur during heat stress events

filter_out_heat_stress_events_single(): Filter out observations that occur during heat stress events

identify_first_superchill(): Identify when VALUE first crosses below a threshold

identify_growing_seasons(): Identify start and end of growing seasons for each year

identify_heat_stress_events(): Identify start and end of non-overlapping heat stress events

identify_heat_stress_intervals(): Identify n-hour intervals beginning when a threshold is exceeded

identify_trending_up(): Identify when VALUE begins trending up

plot_degree_days(): Plot degree days at depth for each season start date

plot_filtered_data(): Plot filtered data with removed data greyed out

plot_temperature_at_depth(): Plot temperature coloured by depth

string_data: Example temperature data