## ----knitr_setup, include = FALSE, echo=FALSE--------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----load_packages, message=FALSE, warning=FALSE------------------------------ library(aquacultuR) library(magrittr) library(dplyr) library(tidyr) library(lubridate) ## ----options------------------------------------------------------------------ oldopts <- options() options(digits = 3) ## ----samplings_data----------------------------------------------------------- head(samplings) ## ----------------------------------------------------------------------------- head(water_params) ## ----prepare_growth_data------------------------------------------------------ df <- samplings %>% mutate(timepoint = case_when( date == ymd("2023-03-16") ~ "beginning", date == ymd("2023-04-14") ~ "end", .default = NA )) %>% group_by(tank, timepoint, sample_type) %>% summarise(mean_weight = mean(fish_weight), sd_weight = sd(fish_weight)) %>% print() ## ----growth_wide-------------------------------------------------------------- df <- df %>% select(-sample_type, -starts_with("sd")) %>% pivot_wider( names_from = timepoint, values_from = c(mean_weight), names_vary = "slowest" ) %>% mutate(duration = as.numeric(max(samplings$date) - min(samplings$date))) %>% print() ## ----calculate_growth_metrics------------------------------------------------- df %>% group_by(tank) %>% mutate( absolute_growth = ag(ibw = beginning, fbw = end), relative_growth = rg(ibw = beginning, fbw = end), absolute_growth_rate = agr(ibw = beginning, fbw = end, duration), specific_growth_rate = sgr(ibw = beginning, fbw = end, duration) ) ## ----------------------------------------------------------------------------- df %>% group_by(tank) %>% mutate( geometric_bodyweight = gbw(ibw = beginning, fbw = end), relative_growth_rate_geom = rgr( ibw = beginning, fbw = end, duration, mean_fun = "geometric" ), relative_growth_rate_arith = rgr( ibw = beginning, fbw = end, duration, mean_fun = "arithmetic" ) ) ## ----calculate_tgc------------------------------------------------------------ # 1. calculate mean temperature # 2. join into growth data # 3. calculate TGC water_params %>% group_by(tank) %>% summarise(temp = mean(temp)) %>% right_join(df, join_by(tank)) %>% mutate( thermal_growth_coefficient = tgc( ibw = beginning, fbw = end, duration = duration, temp = temp )) ## ----show_session_info-------------------------------------------------------- sessionInfo() ## ----reset_options------------------------------------------------------------ options(oldopts)