WS0623

if (!nzchar(system.file(package = "librarian"))) {
  install.packages("librarian")
}

librarian::shelf(
  quiet = TRUE,
  readr, here, fs, ggplot2, glue, "jiho/castr", dplyr, oce, patchwork, purrr, tidyr
)

source(here("R/cruise_load.R"))
cruise_df <- cruise_load(params$cruise_id)

tryCatch({
  plots <- list()
  
  for (station_name in unique(cruise_df$station)) {
    subset_df <- filter(cruise_df, station == station_name)
    plots[[station_name]] <- ggplot(subset_df, aes(x = time_elapsed)) +
      geom_point(aes(y = depth), color = "blue") +  # Plot depth in blue
      geom_line(aes(y = sea_water_pressure), color = "red") +  # Plot sea water pressure in red
      ggtitle(glue("{station_name}")) +
      theme(
        axis.title.x = element_blank(),
        axis.title.y = element_blank(),
        axis.text.x = element_blank(),
        axis.text.y = element_blank(),
        axis.ticks.x = element_blank(),
        axis.ticks.y = element_blank()
      )  # Remove individual axis titles and text
  }
  
  # drop nulls
  plots <- purrr::compact(plots)
  
  # Combine all plots into a grid
  combined_plot <- wrap_plots(plots) + 
    plot_layout(ncol = 4) +  # Adjust ncol to set number of columns in the grid
    plot_annotation(
      title = "Depth (blue) and Pressure (red)",
      subtitle = "Each panel represents a different station",
      caption = "Time Elapsed (x-axis) vs Depth & Pressure (y-axis)"
    ) +
    theme(
      plot.tag = element_text(size = 12, face = "bold"),
      plot.tag.position = "topleft",
      axis.title.x = element_text(margin = margin(t = 10)),
      axis.title.y = element_text(margin = margin(r = 10))
    )
  
  print(combined_plot)
}, error = function(er){
  print(er)
});

Warning: Removed 1 row containing missing values or values outside the scale range
(`geom_point()`).
Removed 1 row containing missing values or values outside the scale range
(`geom_point()`).

Warning: Removed 2 rows containing missing values or values outside the scale range
(`geom_point()`).

Warning: Removed 1 row containing missing values or values outside the scale range
(`geom_point()`).

p <- ggplot(cruise_df, aes(x = time, y = depth, fill = station)) +
  geom_col() +  # This creates the bars
  # geom_text(aes(label = station), vjust = -0.3) +  # This adds labels to each bar, adjust vjust for position
  labs(x = "Time", y = "Depth", title = "Depth over Time by Station") +  # Set labels and title
  theme_minimal()  # Use a minimal theme
print(p)

Warning: Removed 5 rows containing missing values or values outside the scale range
(`geom_col()`).

ctd_load <- function(data, other_params = NULL) {
  
  # create csv into ctd object
  test_ctd <-
    as.ctd(
      salinity    = data$sea_water_salinity,
      temperature = data$sea_water_temperature,
      pressure    = data$sea_water_pressure,
      station     = data$station
    )
  
  # add additional columns to ctd object
  if (!is.null(other_params)) {
    for (param_name in other_params) {
      test_ctd <-
        oceSetData(
          object = test_ctd,
          name   = param_name,
          value  = data[[param_name]]
        )
    }
  }
  print(glue("{data$station[1]}:\t{length(test_ctd@data$scan)} scans"))


  return(test_ctd)
}

# Define other parameters to add
other_params <- c(
  "cruise_id", "station", "time", "time_elapsed", 
  "latitude", "longitude", "sea_water_electrical_conductivity", 
  "CDOM", "dissolved_oxygen","oxygen_saturation", "chlorophyll_concentration", 
  "chlorophyll_fluorescence", "photosynthetically_available_radiation", 
  "beam_attenuation","beam_transmission", "depth", "sea_water_sigma_t",
  "descent_rate", "sound_velocity","altimeter"
)

# Split data by station and create data list
ctd_FK <- cruise_df %>%
  split(.$station) %>%
  map(~ ctd_load(.x, other_params = other_params)) # ~ is a lambda(x)

10: 1584 scans
16: 1410 scans
17: 2397 scans
18: 3917 scans
19: 2042 scans
20: 4840 scans
23: 2119 scans
24: 3548 scans
28: 3769 scans
29: 3200 scans
3:  3694 scans
30: 2394 scans
31: 3003 scans
34: 2728 scans
39: 2036 scans
42: 2000 scans
49: 1602 scans
5:  2060 scans
50: 2845 scans
53: 2442 scans
54: 2184 scans
56: 1958 scans
58: 1815 scans
6:  8525 scans
6.5:    6130 scans
60: 2258 scans
68: 1531 scans
69: 1956 scans
7:  1585 scans
9:  2713 scans
CAL1:   1605 scans
CAL5:   2178 scans
CH2:    2715 scans
CH5:    2765 scans

for (i in seq(ctd_FK)){
  cast <- ctd_FK[[i]]  # 1 is selecting only the first sublist
  # print(i)
  print(glue("=== station: {cast@metadata$station[1]}"))
  print(glue("# scans: {length(cast@data$scan)}"))
  plotScan(cast)
}

=== station: 10
# scans: 1584

=== station: 16
# scans: 1410

=== station: 17
# scans: 2397

=== station: 18
# scans: 3917

=== station: 19
# scans: 2042

=== station: 20
# scans: 4840

=== station: 23
# scans: 2119

=== station: 24
# scans: 3548

=== station: 28
# scans: 3769

=== station: 29
# scans: 3200

=== station: 3
# scans: 3694

=== station: 30
# scans: 2394

=== station: 31
# scans: 3003

=== station: 34
# scans: 2728

=== station: 39
# scans: 2036

=== station: 42
# scans: 2000

=== station: 49
# scans: 1602

=== station: 5
# scans: 2060

=== station: 50
# scans: 2845

=== station: 53
# scans: 2442

=== station: 54
# scans: 2184

=== station: 56
# scans: 1958

=== station: 58
# scans: 1815

=== station: 6
# scans: 8525

=== station: 6.5
# scans: 6130

=== station: 60
# scans: 2258

=== station: 68
# scans: 1531

=== station: 69
# scans: 1956

=== station: 7
# scans: 1585

=== station: 9
# scans: 2713

=== station: CAL1
# scans: 1605

=== station: CAL5
# scans: 2178

=== station: CH2
# scans: 2715

=== station: CH5
# scans: 2765

for (i in seq(ctd_FK)){
  cast <- ctd_FK[[i]]  # 1 is selecting only the first sublist
  tryCatch({
    plot(ctdDecimate(ctdTrim(cast)))
  }, error = function(e){
    print(e)
  })
}

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 1584' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 1410' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 2397' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 3917' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 2042' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 4840' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 2119' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 3548' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 3769' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 3200' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 3694' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 2394' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 3003' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 2728' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 2000' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 1602' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 2060' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 2845' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 2442' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 1958' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 1815' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 8525' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 6130' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 2258' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 1531' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 1956' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 1585' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 2713' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 1605' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 2178' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 2715' in coercion to 'logical(1)'>

<simpleError in !is.null(x@metadata$station) && !is.na(x@metadata$station): 'length = 2765' in coercion to 'logical(1)'>

# Loop through each CTD cast
for (i in seq(ctd_FK)){
  cast <- ctd_FK[[i]]  # Assuming each sublist contains only one relevant CTD object
  tryCatch({
    # Extract metadata for station name and cruise ID
    station_name <- cast@metadata$station[1]
    cruise_id <- cast@data$cruise_id[1]

    # Generate a title with station name and cruise ID
    overall_title <- glue::glue("Station: {station_name}, Cruise ID: {cruise_id}")

    # Set margins: increase the outer margin for the title
    par(oma = c(0, 0, 3, 0))  # Top outer margin increased for title

    # Plotting function with specific parameters
    oce::plot(
      x = ctdDecimate(ctdTrim(cast)),
      which = c(
        "sea_water_electrical_conductivity",
        "descent_rate", "sound_velocity",
        "sea_water_sigma_t","altimeter"
      ),
      main = ""  # No main title for individual subplots
    )

    # Place a single overall title at the top of the plot frame
    mtext(overall_title, side = 3, line = 1, outer = TRUE, cex = 1.5)

    # Reset outer margins to default
    par(oma = c(0, 0, 0, 0))

  }, error = function(e) {
    print(e$message)  # Print any errors that occur during plotting
  })
}

[1] "missing value where TRUE/FALSE needed"

[1] "need finite 'xlim' values"
[1] "missing value where TRUE/FALSE needed"

[1] "need finite 'xlim' values"

[1] "need finite 'xlim' values"

# Loop through each CTD cast
for (i in seq(ctd_FK)){
  cast <- ctd_FK[[i]]  # Assuming each sublist contains only one relevant CTD object
  tryCatch({
    # Extract metadata for station name and cruise ID
    station_name <- cast@metadata$station[1]
    cruise_id <- cast@data$cruise_id[1]

    # Generate a title with station name and cruise ID
    overall_title <- glue::glue("Station: {station_name}, Cruise ID: {cruise_id}")

    # Set margins: increase the outer margin for the title
    par(oma = c(0, 0, 3, 0))  # Top outer margin increased for title

    # Plotting function with specific parameters
    oce::plot(
      x = ctdDecimate(ctdTrim(cast)),
      which = c(
        "CDOM", "dissolved_oxygen",
        "oxygen_saturation",
        "chlorophyll_concentration", "chlorophyll_fluorescence"
      ),
      main = ""  # No main title for individual subplots
    )

    # Place a single overall title at the top of the plot frame
    mtext(overall_title, side = 3, line = 1, outer = TRUE, cex = 1.5)

    # Reset outer margins to default
    par(oma = c(0, 0, 0, 0))

  }, error = function(e) {
    print(e$message)  # Print any errors that occur during plotting
  })
}

[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"
[1] "In plot,ctd-method() : which=\"CDOMdissolved_oxygenoxygen_saturationchlorophyll_concentrationchlorophyll_fluorescence\" cannot be handled"

# Loop through each CTD cast
for (i in seq(ctd_FK)){
  cast <- ctd_FK[[i]]  # Assuming each sublist contains only one relevant CTD object
  tryCatch({
    # Extract metadata for station name and cruise ID
    station_name <- cast@metadata$station[1]
    cruise_id <- cast@data$cruise_id[1]

    # Generate a title with station name and cruise ID
    overall_title <- glue::glue("Station: {station_name}, Cruise ID: {cruise_id}")

    # Set margins: increase the outer margin for the title
    par(oma = c(0, 0, 3, 0))  # Top outer margin increased for title

    # Plotting function with specific parameters
    oce::plot(
      x = ctdDecimate(ctdTrim(cast)),
      which = c(
        "photosynthetically_available_radiation",
        "beam_attenuation","beam_transmission"
      ),
      main = ""  # No main title for individual subplots
    )

    # Place a single overall title at the top of the plot frame
    mtext(overall_title, side = 3, line = 1, outer = TRUE, cex = 1.5)

    # Reset outer margins to default
    par(oma = c(0, 0, 0, 0))

  }, error = function(e) {
    print(e$message)  # Print any errors that occur during plotting
  })
}

[1] "missing value where TRUE/FALSE needed"

[1] "missing value where TRUE/FALSE needed"

combined_df <- data.frame()
for (i in seq(ctd_FK)){
  tryCatch({
    cast <- ctd_FK[[i]]  # 1 is selecting only the first sublist
    
    # print(class(cast))
    # clean cast 
    trimmed_cast <- ctdTrim(cast)
    decimated_cast <- ctdDecimate(trimmed_cast, p = 0.5)  # binned to 0.5 m
    
    # convert to df
    cast_df <- as.data.frame(decimated_cast@data)
    
    # Add metadata
    # assumes station ID and cruise ID the same for all & just uses 1st one
    cast_df <- mutate(
      cast_df,
      station = cast@data$station[1],
      cruise_id = cast@data$cruise_id[1]
    )
  
    # drop NA rows left by cleaning
    cast_df <- subset(cast_df, !is.na(scan))
    
    # Append the data to the combined dataframe
    combined_df <- rbind(combined_df, cast_df)
  }, error = function(e){
    print(glue("error in cast {cast@metadata$station[1]}"))
    print(e)
  })
}
# Save to CSV
file_path <- here(glue("data/cleaned/{cruise_id}.csv"))
write.csv(combined_df, file_path, row.names = FALSE)