## ----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) ## ----feedcomp----------------------------------------------------------------- feedcomp ## ----feedcomp_long------------------------------------------------------------ feedcomp %>% select(-diet) %>% pivot_longer( everything(), names_to = "parameter", values_to = "value" ) ## ----------------------------------------------------------------------------- df <- samplings %>% mutate( timepoint = case_when( date == ymd("2023-03-16") ~ "bw_beginning", date == ymd("2023-04-14") ~ "bw_end", .default = NA )) %>% group_by(tank, timepoint, sample_type) %>% summarise(mean_weight = mean(fish_weight)) %>% select(-sample_type, -starts_with("sd")) %>% pivot_wider( names_from = timepoint, values_from = mean_weight ) %>% print() ## ----------------------------------------------------------------------------- head(feed_intake) ## ----------------------------------------------------------------------------- head(bodycomp) ## ----feed_intake-------------------------------------------------------------- df <- feed_intake %>% filter(date == max(date)) %>% select(tank, cumulative_feed_intake) %>% right_join(df, join_by(tank)) %>% print() ## ----calculate_fcr_fce-------------------------------------------------------- feed_conversion <- df %>% group_by(tank) %>% summarise( feed_conversion_ratio = fcr( ibw = bw_beginning, fbw = bw_end, feed = cumulative_feed_intake, dm = 0.93 ), feed_conversion_efficiency = fce( ibw = bw_beginning, fbw = bw_end, feed = cumulative_feed_intake, dm = 0.93 ) ) %>% print() ## ----calculate_ner------------------------------------------------------------ df %>% bind_cols(feedcomp %>% select(dry_matter, crude_protein)) %>% mutate( protein_efficiency_ratio = ner(ibw = bw_beginning, fbw = bw_end, fi = cumulative_feed_intake, nut_f = crude_protein, dm = dry_matter) ) %>% relocate(tank, protein_efficiency_ratio) # change column order ## ----summarise_bodycomp------------------------------------------------------- summary(bodycomp) ## ----assign_nr_time----------------------------------------------------------- df2 <- bodycomp %>% mutate( timepoint = case_when( date == ymd("2023-03-16") ~ "beginning", date == ymd("2023-04-14") ~ "end", .default = NA ) ) ## ----prepare_nr_init_data----------------------------------------------------- initial <- df2 %>% group_by(timepoint) %>% summarise(tissue_protein_start = mean(protein)) %>% ungroup() %>% filter(timepoint == "beginning") %>% select(tissue_protein_start) %>% print() ## ----join_nr_data------------------------------------------------------------- nutrient_retention <- df2 %>% filter(timepoint != "beginning") %>% rename(tissue_protein = "protein") %>% select(-timepoint) %>% bind_cols(initial) %>% right_join(df, join_by(tank)) %>% bind_cols(feedcomp %>% select(dry_matter, crude_protein)) ## ----calculate_nr------------------------------------------------------------- nutrient_retention %>% mutate( protein_retention = nr(ibw = bw_beginning, fbw = bw_end, ibn = tissue_protein_start, fbn = tissue_protein, fi = cumulative_feed_intake, nut_f = crude_protein ) ) %>% select(treatment, protein_retention) ## ----show_session_info-------------------------------------------------------- sessionInfo() ## ----reset_options------------------------------------------------------------ options(oldopts)