Mercurial > repos > greg > extract_ipm_date_interval
comparison extract_ipm_date_interval.R @ 0:1868b7913590 draft
Uploaded
| author | greg |
|---|---|
| date | Tue, 07 Aug 2018 13:05:10 -0400 |
| parents | |
| children | 459b422e5df6 |
comparison
equal
deleted
inserted
replaced
| -1:000000000000 | 0:1868b7913590 |
|---|---|
| 1 #!/usr/bin/env Rscript | |
| 2 | |
| 3 suppressPackageStartupMessages(library("data.table")) | |
| 4 suppressPackageStartupMessages(library("hash")) | |
| 5 suppressPackageStartupMessages(library("optparse")) | |
| 6 | |
| 7 option_list <- list( | |
| 8 make_option(c("--input_data_dir"), action="store", dest="input_data_dir", help="Directory containing .csv outputs from insect_phenology_model"), | |
| 9 make_option(c("--end_date"), action="store", dest="end_date", help="End date for date interval"), | |
| 10 make_option(c("--start_date"), action="store", dest="start_date", help="Start date for date interval"), | |
| 11 make_option(c("--script_dir"), action="store", dest="script_dir", help="R script source directory"), | |
| 12 make_option(c("--tool_parameters"), action="store", dest="tool_parameters", help="Users defined parameters for executing the insect_phenology_model inputs") | |
| 13 ) | |
| 14 | |
| 15 parser <- OptionParser(usage="%prog [options] file", option_list=option_list); | |
| 16 args <- parse_args(parser, positional_arguments=TRUE); | |
| 17 opt <- args$options; | |
| 18 | |
| 19 get_new_temperature_data_frame = function(input_data_file) { | |
| 20 # Read a csv file to produce a data frame | |
| 21 # consisting of the data which was produced | |
| 22 # by the insect_phenology_model tool. | |
| 23 temperature_data_frame = read.csv(file=input_data_file, header=T, strip.white=TRUE, stringsAsFactors=FALSE, sep=","); | |
| 24 return(temperature_data_frame); | |
| 25 } | |
| 26 | |
| 27 parse_tool_parameters = function(tool_parameters) { | |
| 28 # Parse the tool parameters that were used to produce | |
| 29 # the input datasets found in input_data_dir. These | |
| 30 # datasets were produced by the insect_phenology_model | |
| 31 # tool. | |
| 32 raw_params = sub("^__SeP__", "", tool_parameters); | |
| 33 raw_param_items = strsplit(raw_params, "__SeP__")[[1]]; | |
| 34 keys = raw_param_items[c(T, F)]; | |
| 35 values = raw_param_items[c(F, T)]; | |
| 36 num_keys_and_vals = length(keys); | |
| 37 for (i in 1:num_keys_and_vals) { | |
| 38 values[i] = restore_text(values[[i]]); | |
| 39 } | |
| 40 for (i in 1:num_keys_and_vals) { | |
| 41 key = keys[i]; | |
| 42 if (endsWith(key, "cond")) { | |
| 43 value = values[i]; | |
| 44 # Galaxy passes some input job parameters as json-like strings | |
| 45 # for complex objects like conditionals, so we should see if | |
| 46 # we can re-implement this using r-jsonlite if possible. An | |
| 47 # exception is currently thrown when we do this: | |
| 48 # params_hash = fromJSON(opt$tool_parameters); | |
| 49 # Error: lexical error: invalid char in json text. | |
| 50 # __SeP__adult_mortality__SeP____ | |
| 51 # (right here) ------^ | |
| 52 # Here is an example complex object parameter value, in | |
| 53 # this case the parameter name is plot_nymph_life_stage_cond. | |
| 54 # {"life_stages_nymph": ["Total"], "__current_case__": 0, "plot_nymph_life_stage": "yes"} | |
| 55 # This code is somewhat brittle, so a better approach is | |
| 56 # warranted if possible. | |
| 57 if (key == "merge_ytd_temperature_data_cond") { | |
| 58 val = grep("yes", value); | |
| 59 if (length(val)>0) { | |
| 60 # Get the location. | |
| 61 items = strsplit(value, "\"location\": ")[[1]]; | |
| 62 location_str = items[2]; | |
| 63 val = grep("\",", location_str); | |
| 64 if (length(val)>0) { | |
| 65 items = strsplit(location_str, "\",")[[1]]; | |
| 66 location = items[1]; | |
| 67 } else { | |
| 68 location = items[1]; | |
| 69 } | |
| 70 if (location == "\"") { | |
| 71 location = ""; | |
| 72 } | |
| 73 keys[i] = "location"; | |
| 74 values[i] = location; | |
| 75 } | |
| 76 } else if (key =="plot_nymph_life_stage_cond") { | |
| 77 val = grep("yes", value); | |
| 78 if (length(val)==0) { | |
| 79 keys[i] = "plot_nymph_life_stage"; | |
| 80 values[i] = "no"; | |
| 81 } else { | |
| 82 # Get the value for "life_stages_nymph". | |
| 83 items = strsplit(value, "\"life_stages_nymph\": ")[[1]]; | |
| 84 life_stages_nymph_str = items[2]; | |
| 85 if (grep("],", life_stages_nymph_str)[[1]] > 0) { | |
| 86 items = strsplit(life_stages_nymph_str, "],")[[1]]; | |
| 87 life_stages_nymph_str = items[1]; | |
| 88 #life_stages_nymph_str = sub("^\\[", "", life_stages_nymph_str); | |
| 89 num_curent_keys = length(keys); | |
| 90 keys[num_curent_keys+1] = "life_stages_nymph"; | |
| 91 values[num_curent_keys+1] = life_stages_nymph_str; | |
| 92 } | |
| 93 keys[i] = "plot_nymph_life_stage"; | |
| 94 values[i] = "yes"; | |
| 95 } | |
| 96 } else if (key =="plot_adult_life_stage_cond") { | |
| 97 val = grep("yes", value); | |
| 98 # The value of val is an integer if the pattern is not found. | |
| 99 if (length(val)==0) { | |
| 100 keys[i] = "plot_adult_life_stage"; | |
| 101 values[i] = "no"; | |
| 102 } else { | |
| 103 # Get the value for "life_stages_adult". | |
| 104 items = strsplit(value, "\"life_stages_adult\": ")[[1]]; | |
| 105 life_stages_adult_str = items[2]; | |
| 106 if (grep("],", life_stages_adult_str)[[1]] > 0) { | |
| 107 items = strsplit(life_stages_adult_str, "],")[[1]]; | |
| 108 life_stages_adult_str = items[1]; | |
| 109 #life_stages_adult_str = sub("^\\[", "", life_stages_adult_str); | |
| 110 num_curent_keys = length(keys); | |
| 111 keys[num_curent_keys+1] = "life_stages_adult"; | |
| 112 values[num_curent_keys+1] = life_stages_adult_str; | |
| 113 } | |
| 114 keys[i] = "plot_adult_life_stage"; | |
| 115 values[i] = "yes"; | |
| 116 } | |
| 117 } | |
| 118 } | |
| 119 } | |
| 120 # Strip all double qu0tes from values. | |
| 121 for (i in 1:length(values)) { | |
| 122 value = values[i]; | |
| 123 value = gsub("\"", "", value); | |
| 124 values[i] = value; | |
| 125 } | |
| 126 return(hash(keys, values)); | |
| 127 } | |
| 128 | |
| 129 prepare_plot = function(life_stage, file_path, maxval, ticks, date_labels, chart_type, plot_std_error, insect, location, | |
| 130 latitude, start_date, end_date, total_days_vector, replications, group, group_std_error, group2, group2_std_error, | |
| 131 group3, group3_std_error, sub_life_stage=NULL) { | |
| 132 # Start PDF device driver. | |
| 133 dev.new(width=20, height=30); | |
| 134 pdf(file=file_path, width=20, height=30, bg="white"); | |
| 135 par(mar=c(5, 6, 4, 4), mfrow=c(3, 1)); | |
| 136 render_chart(ticks, date_labels, chart_type, plot_std_error, insect, location, latitude, start_date, end_date, | |
| 137 total_days_vector, maxval, replications, life_stage, group=group, group_std_error=group_std_error, group2=group2, | |
| 138 group2_std_error=group2_std_error, group3=group3, group3_std_error=group3_std_error, sub_life_stage=sub_life_stage); | |
| 139 # Turn off device driver to flush output. | |
| 140 dev.off(); | |
| 141 } | |
| 142 | |
| 143 restore_text = function(text) { | |
| 144 # Un-escape characters that are escaped by the | |
| 145 # Galaxy tool parameter handlers. | |
| 146 if (is.null(text) || length(text) == 0) { | |
| 147 return(text); | |
| 148 } | |
| 149 chars = list(">", "<", "'", '"', "[", "]", "{", "}", "@", "\n", "\r", "\t", "#"); | |
| 150 mapped_chars = list("__gt__", "__lt__", "__sq__", "__dq__", "__ob__", "__cb__", | |
| 151 "__oc__", "__cc__", "__at__", "__cn__", "__cr__", "__tc__", "__pd__"); | |
| 152 for (i in 1:length(mapped_chars)) { | |
| 153 char = chars[[i]]; | |
| 154 mapped_char = mapped_chars[[i]]; | |
| 155 text = gsub(mapped_char, char, text); | |
| 156 } | |
| 157 return(text); | |
| 158 } | |
| 159 | |
| 160 # Import the shared utility functions. | |
| 161 utils_path <- paste(opt$script_dir, "utils.R", sep="/"); | |
| 162 source(utils_path); | |
| 163 | |
| 164 params_hash = parse_tool_parameters(opt$tool_parameters); | |
| 165 | |
| 166 # Determine the data we need to generate for plotting. | |
| 167 if (params_hash$plot_generations_separately == "yes") { | |
| 168 plot_generations_separately = TRUE; | |
| 169 } else { | |
| 170 plot_generations_separately = FALSE; | |
| 171 } | |
| 172 if (params_hash$plot_std_error == "yes") { | |
| 173 plot_std_error = TRUE; | |
| 174 } else { | |
| 175 plot_std_error = FALSE; | |
| 176 } | |
| 177 process_eggs = FALSE; | |
| 178 process_nymphs = FALSE; | |
| 179 process_young_nymphs = FALSE; | |
| 180 process_old_nymphs = FALSE; | |
| 181 process_total_nymphs = FALSE; | |
| 182 process_adults = FALSE; | |
| 183 process_previttelogenic_adults = FALSE; | |
| 184 process_vittelogenic_adults = FALSE; | |
| 185 process_diapausing_adults = FALSE; | |
| 186 process_total_adults = FALSE; | |
| 187 if (params_hash$plot_egg_life_stage == "yes") { | |
| 188 process_eggs = TRUE; | |
| 189 } | |
| 190 if (params_hash$plot_nymph_life_stage == "yes") { | |
| 191 process_nymphs = TRUE; | |
| 192 # Get the selected life stages. | |
| 193 value = params_hash$life_stages_nymph; | |
| 194 val = grep("Young", value); | |
| 195 if (length(val)>0) { | |
| 196 process_young_nymphs = TRUE; | |
| 197 } | |
| 198 val = grep("Old", value); | |
| 199 if (length(val)>0) { | |
| 200 process_old_nymphs = TRUE; | |
| 201 } | |
| 202 val = grep("Total", value); | |
| 203 if (length(val)>0) { | |
| 204 process_total_nymphs = TRUE; | |
| 205 } | |
| 206 } | |
| 207 if (params_hash$plot_adult_life_stage == "yes") { | |
| 208 process_adults = TRUE; | |
| 209 # Get the selected life stages. | |
| 210 value = params_hash$life_stages_adult; | |
| 211 val = grep("Pre-vittelogenic", value); | |
| 212 if (length(val)>0) { | |
| 213 process_previttelogenic_adults = TRUE; | |
| 214 } | |
| 215 val = grep("Vittelogenic", value); | |
| 216 if (length(val)>0) { | |
| 217 process_vittelogenic_adults = TRUE; | |
| 218 } | |
| 219 val = grep("Diapausing", value); | |
| 220 if (length(val)>0) { | |
| 221 process_diapausing_adults = TRUE; | |
| 222 } | |
| 223 val = grep("Total", value); | |
| 224 if (length(val)>0) { | |
| 225 process_total_adults = TRUE; | |
| 226 } | |
| 227 } | |
| 228 | |
| 229 if (params_hash$plot_egg_life_stage == "yes" & params_hash$plot_nymph_life_stage == "yes" & params_hash$plot_adult_life_stage == "yes") { | |
| 230 process_total = TRUE; | |
| 231 } else { | |
| 232 process_total = FALSE; | |
| 233 } | |
| 234 | |
| 235 | |
| 236 # FIXME: currently custom date fields are free text, but | |
| 237 # Galaxy should soon include support for a date selector | |
| 238 # at which point this tool should be enhanced to use it. | |
| 239 # Validate start_date. | |
| 240 start_date = format(opt$start_date); | |
| 241 end_date = format(opt$end_date); | |
| 242 | |
| 243 # Calaculate the number of days in the date interval. | |
| 244 start_date = validate_date(start_date); | |
| 245 # Validate end_date. | |
| 246 end_date = validate_date(end_date); | |
| 247 if (start_date >= end_date) { | |
| 248 stop_err("The start date must be between 1 and 50 days before the end date when setting date intervals for plots."); | |
| 249 } | |
| 250 # Calculate the number of days in the date interval. | |
| 251 num_days = difftime(end_date, start_date, units=c("days")); | |
| 252 # Add 1 to the number of days to make the dates inclusive. For | |
| 253 # example, if the user enters a date range of 2018-01-01 to | |
| 254 # 2018-01-31, they likely expect the end date to be included. | |
| 255 num_days = num_days + 1; | |
| 256 if (num_days > 50) { | |
| 257 # We need to restrict date intervals since | |
| 258 # plots render tick marks for each day. | |
| 259 stop_err("Date intervals for plotting cannot exceed 50 days."); | |
| 260 } | |
| 261 # Display the total number of days in the Galaxy history item blurb. | |
| 262 cat("Number of days in date interval: ", num_days, "\n"); | |
| 263 | |
| 264 # Create the csv data files consisting of the date interval. | |
| 265 input_data_files = list.files(path=opt$input_data_dir, full.names=TRUE); | |
| 266 for (input_data_file in input_data_files) { | |
| 267 file_name = basename(input_data_file); | |
| 268 temperature_data_frame = get_new_temperature_data_frame(input_data_file); | |
| 269 start_date_row = which(temperature_data_frame$DATE==start_date); | |
| 270 end_date_row = which(temperature_data_frame$DATE==end_date); | |
| 271 # Extract the date interval. | |
| 272 temperature_data_frame = temperature_data_frame[start_date_row:end_date_row,]; | |
| 273 # Save the date interval data into an output file | |
| 274 # named the same as the input. | |
| 275 file_path = paste("output_data_dir", file_name, sep="/"); | |
| 276 write.csv(temperature_data_frame, file=file_path, row.names=F); | |
| 277 } | |
| 278 | |
| 279 # Extract the vectors needed for plots from the input data files | |
| 280 # produced by the insect_phenology_model tool. | |
| 281 total_days_vector = NULL; | |
| 282 ticks_and_labels = NULL; | |
| 283 latitude = NULL; | |
| 284 input_data_files = list.files(path="output_data_dir", full.names=TRUE); | |
| 285 for (input_data_file in input_data_files) { | |
| 286 file_name = basename(input_data_file); | |
| 287 temperature_data_frame = get_new_temperature_data_frame(input_data_file); | |
| 288 # Initialize the total_days_vector for later plotting. | |
| 289 if (is.null(total_days_vector)) { | |
| 290 total_days_vector = c(1:dim(temperature_data_frame)[1]); | |
| 291 } | |
| 292 if (is.null(ticks_and_labels)) { | |
| 293 # Get the ticks date labels for later plotting | |
| 294 ticks_and_labels = get_x_axis_ticks_and_labels(temperature_data_frame, date_interval=TRUE); | |
| 295 ticks = c(unlist(ticks_and_labels[1])); | |
| 296 date_labels = c(unlist(ticks_and_labels[2])); | |
| 297 } | |
| 298 if (is.null(latitude)) { | |
| 299 # Get the latitude for later plotting. | |
| 300 latitude = temperature_data_frame$LATITUDE[1]; | |
| 301 } | |
| 302 | |
| 303 if (file_name == "04_combined_generations.csv") { | |
| 304 if (process_eggs) { | |
| 305 eggs = temperature_data_frame$EGG; | |
| 306 if (plot_std_error) { | |
| 307 eggs.std_error = temperature_data_frame$EGGSE; | |
| 308 } | |
| 309 } | |
| 310 if (process_young_nymphs) { | |
| 311 young_nymphs = temperature_data_frame$YOUNGNYMPH; | |
| 312 if (plot_std_error) { | |
| 313 young_nymphs.std_error = temperature_data_frame$YOUNGNYMPHSE; | |
| 314 } | |
| 315 } | |
| 316 if (process_old_nymphs) { | |
| 317 old_nymphs = temperature_data_frame$OLDNYMPH; | |
| 318 if (plot_std_error) { | |
| 319 old_nymphs.std_error = temperature_data_frame$OLDNYMPHSE; | |
| 320 } | |
| 321 } | |
| 322 if (process_total_nymphs) { | |
| 323 total_nymphs = temperature_data_frame$TOTALNYMPH; | |
| 324 if (plot_std_error) { | |
| 325 total_nymphs.std_error = temperature_data_frame$TOTALNYMPHSE; | |
| 326 } | |
| 327 } | |
| 328 if (process_previttelogenic_adults) { | |
| 329 previttelogenic_adults = temperature_data_frame$PRE.VITADULT; | |
| 330 if (plot_std_error) { | |
| 331 previttelogenic_adults.std_error = temperature_data_frame$PRE.VITADULTSE; | |
| 332 } | |
| 333 } | |
| 334 if (process_vittelogenic_adults) { | |
| 335 vittelogenic_adults = temperature_data_frame$VITADULT; | |
| 336 if (plot_std_error) { | |
| 337 vittelogenic_adults.std_error = temperature_data_frame$VITADULTSE; | |
| 338 } | |
| 339 } | |
| 340 if (process_diapausing_adults) { | |
| 341 diapausing_adults = temperature_data_frame$DIAPAUSINGADULT; | |
| 342 if (plot_std_error) { | |
| 343 diapausing_adults.std_error = temperature_data_frame$DIAPAUSINGADULTSE; | |
| 344 } | |
| 345 } | |
| 346 if (process_total_adults) { | |
| 347 total_adults = temperature_data_frame$TOTALADULT; | |
| 348 if (plot_std_error) { | |
| 349 total_adults.std_error = temperature_data_frame$TOTALADULTSE; | |
| 350 } | |
| 351 } | |
| 352 } else if (file_name == "01_generation_P.csv") { | |
| 353 if (process_eggs) { | |
| 354 P_eggs = temperature_data_frame$EGG.P; | |
| 355 if (plot_std_error) { | |
| 356 P_eggs.std_error = temperature_data_frame$EGG.P.SE; | |
| 357 } | |
| 358 } | |
| 359 if (process_young_nymphs) { | |
| 360 P_young_nymphs = temperature_data_frame$YOUNGNYMPH.P; | |
| 361 if (plot_std_error) { | |
| 362 P_young_nymphs.std_error = temperature_data_frame$YOUNGNYMPH.P.SE; | |
| 363 } | |
| 364 } | |
| 365 if (process_old_nymphs) { | |
| 366 P_old_nymphs = temperature_data_frame$OLDNYMPH.P; | |
| 367 if (plot_std_error) { | |
| 368 P_old_nymphs.std_error = temperature_data_frame$OLDNYMPH.P.SE; | |
| 369 } | |
| 370 } | |
| 371 if (process_total_nymphs) { | |
| 372 P_total_nymphs = temperature_data_frame$TOTALNYMPH.P; | |
| 373 if (plot_std_error) { | |
| 374 P_total_nymphs.std_error = temperature_data_frame$TOTALNYMPH.P.SE; | |
| 375 } | |
| 376 } | |
| 377 if (process_previttelogenic_adults) { | |
| 378 P_previttelogenic_adults = temperature_data_frame$PRE.VITADULT.P; | |
| 379 if (plot_std_error) { | |
| 380 P_previttelogenic_adults.std_error = temperature_data_frame$PRE.VITADULT.P.SE; | |
| 381 } | |
| 382 } | |
| 383 if (process_vittelogenic_adults) { | |
| 384 P_vittelogenic_adults = temperature_data_frame$VITADULT.P; | |
| 385 if (plot_std_error) { | |
| 386 P_vittelogenic_adults.std_error = temperature_data_frame$VITADULT.P.SE; | |
| 387 } | |
| 388 } | |
| 389 if (process_diapausing_adults) { | |
| 390 P_diapausing_adults = temperature_data_frame$DIAPAUSINGADULT.P; | |
| 391 if (plot_std_error) { | |
| 392 P_diapausing_adults.std_error = temperature_data_frame$DIAPAUSINGADULT.P.SE; | |
| 393 } | |
| 394 } | |
| 395 if (process_total_adults) { | |
| 396 P_total_adults = temperature_data_frame$TOTALADULT.P; | |
| 397 if (plot_std_error) { | |
| 398 P_total_adults.std_error = temperature_data_frame$TOTALADULT.P.SE; | |
| 399 } | |
| 400 } | |
| 401 } else if (file_name == "02_generation_F1.csv") { | |
| 402 if (process_eggs) { | |
| 403 F1_eggs = temperature_data_frame$EGG.F1; | |
| 404 if (plot_std_error) { | |
| 405 F1_eggs.std_error = temperature_data_frame$EGG.F1.SE; | |
| 406 } | |
| 407 } | |
| 408 if (process_young_nymphs) { | |
| 409 F1_young_nymphs = temperature_data_frame$YOUNGNYMPH.F1; | |
| 410 if (plot_std_error) { | |
| 411 F1_young_nymphs.std_error = temperature_data_frame$YOUNGNYMPH.F1.SE; | |
| 412 } | |
| 413 } | |
| 414 if (process_old_nymphs) { | |
| 415 F1_old_nymphs = temperature_data_frame$OLDNYMPH.F1; | |
| 416 if (plot_std_error) { | |
| 417 F1_old_nymphs.std_error = temperature_data_frame$OLDNYMPH.F1.SE; | |
| 418 } | |
| 419 } | |
| 420 if (process_total_nymphs) { | |
| 421 F1_total_nymphs = temperature_data_frame$TOTALNYMPH.F1; | |
| 422 if (plot_std_error) { | |
| 423 F1_total_nymphs.std_error = temperature_data_frame$TOTALNYMPH.F1.SE; | |
| 424 } | |
| 425 } | |
| 426 if (process_previttelogenic_adults) { | |
| 427 F1_previttelogenic_adults = temperature_data_frame$PRE.VITADULT.F1; | |
| 428 if (plot_std_error) { | |
| 429 F1_previttelogenic_adults.std_error = temperature_data_frame$PRE.VITADULT.F1.SE; | |
| 430 } | |
| 431 } | |
| 432 if (process_vittelogenic_adults) { | |
| 433 F1_vittelogenic_adults = temperature_data_frame$VITADULT.F1; | |
| 434 if (plot_std_error) { | |
| 435 F1_vittelogenic_adults.std_error = temperature_data_frame$VITADULT.F1.SE; | |
| 436 } | |
| 437 } | |
| 438 if (process_diapausing_adults) { | |
| 439 F1_diapausing_adults = temperature_data_frame$DIAPAUSINGADULT.F1; | |
| 440 if (plot_std_error) { | |
| 441 F1_diapausing_adults.std_error = temperature_data_frame$DIAPAUSINGADULT.F1.SE; | |
| 442 } | |
| 443 } | |
| 444 if (process_total_adults) { | |
| 445 F1_total_adults = temperature_data_frame$TOTALADULT.F1; | |
| 446 if (plot_std_error) { | |
| 447 F1_total_adults.std_error = temperature_data_frame$TOTALADULT.F1.SE; | |
| 448 } | |
| 449 } | |
| 450 } else if (file_name == "03_generation_F2.csv") { | |
| 451 if (process_eggs) { | |
| 452 F2_eggs = temperature_data_frame$EGG.F2; | |
| 453 if (plot_std_error) { | |
| 454 F2_eggs.std_error = temperature_data_frame$EGG.F2.SE; | |
| 455 } | |
| 456 } | |
| 457 if (process_young_nymphs) { | |
| 458 F2_young_nymphs = temperature_data_frame$YOUNGNYMPH.F2; | |
| 459 if (plot_std_error) { | |
| 460 F2_young_nymphs.std_error = temperature_data_frame$YOUNGNYMPH.F2.SE; | |
| 461 } | |
| 462 } | |
| 463 if (process_old_nymphs) { | |
| 464 F2_old_nymphs = temperature_data_frame$OLDNYMPH.F2; | |
| 465 if (plot_std_error) { | |
| 466 F2_old_nymphs.std_error = temperature_data_frame$OLDNYMPH.F2.SE; | |
| 467 } | |
| 468 } | |
| 469 if (process_total_nymphs) { | |
| 470 F2_total_nymphs = temperature_data_frame$TOTALNYMPH.F2; | |
| 471 if (plot_std_error) { | |
| 472 F2_total_nymphs.std_error = temperature_data_frame$TOTALNYMPH.F2.SE; | |
| 473 } | |
| 474 } | |
| 475 if (process_previttelogenic_adults) { | |
| 476 F2_previttelogenic_adults = temperature_data_frame$PRE.VITADULT.F2; | |
| 477 if (plot_std_error) { | |
| 478 F2_previttelogenic_adults.std_error = temperature_data_frame$PRE.VITADULT.F2.SE; | |
| 479 } | |
| 480 } | |
| 481 if (process_vittelogenic_adults) { | |
| 482 F2_vittelogenic_adults = temperature_data_frame$VITADULT.F2; | |
| 483 if (plot_std_error) { | |
| 484 F2_vittelogenic_adults.std_error = temperature_data_frame$VITADULT.F2.SE; | |
| 485 } | |
| 486 } | |
| 487 if (process_diapausing_adults) { | |
| 488 F2_diapausing_adults = temperature_data_frame$DIAPAUSINGADULT.F2; | |
| 489 if (plot_std_error) { | |
| 490 F2_diapausing_adults.std_error = temperature_data_frame$DIAPAUSINGADULT.F2.SE; | |
| 491 } | |
| 492 } | |
| 493 if (process_total_adults) { | |
| 494 F2_total_adults = temperature_data_frame$TOTALADULT.F2; | |
| 495 if (plot_std_error) { | |
| 496 F2_total_adults.std_error = temperature_data_frame$TOTALADULT.F2.SE; | |
| 497 } | |
| 498 } | |
| 499 } | |
| 500 } | |
| 501 | |
| 502 # Create the pdf plot files based on the date interval. | |
| 503 if (plot_generations_separately) { | |
| 504 chart_type = "pop_size_by_generation"; | |
| 505 if (process_eggs) { | |
| 506 # Total population size by generation. | |
| 507 life_stage = "Egg"; | |
| 508 file_path = get_file_path(life_stage, "egg_pop_by_generation.pdf") | |
| 509 maxval = max(P_eggs+F1_eggs+F2_eggs) + 100; | |
| 510 prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 511 params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 512 params_hash$replications, group=P_eggs, group_std_error=P_eggs.std_error, group2=F1_eggs, | |
| 513 group2_std_error=F1_eggs.std_error, group3=F2_eggs, group3_std_error=F2_eggs.std_error); | |
| 514 } | |
| 515 if (process_nymphs) { | |
| 516 life_stage = "Nymph"; | |
| 517 if (process_young_nymphs) { | |
| 518 # Young nymph population size by generation. | |
| 519 sub_life_stage = "Young"; | |
| 520 file_path = get_file_path(life_stage, "nymph_pop_by_generation.pdf", sub_life_stage=sub_life_stage) | |
| 521 maxval = max(P_young_nymphs+F1_young_nymphs+F2_young_nymphs) + 100; | |
| 522 prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 523 params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 524 params_hash$replications, group=P_young_nymphs, group_std_error=P_young_nymphs.std_error, | |
| 525 group2=F1_young_nymphs, group2_std_error=F1_young_nymphs.std_error, group3=F2_young_nymphs, | |
| 526 group3_std_error=F2_young_nymphs.std_error, sub_life_stage=sub_life_stage); | |
| 527 } | |
| 528 if (process_old_nymphs) { | |
| 529 # Old nymph population size by generation. | |
| 530 sub_life_stage = "Old"; | |
| 531 file_path = get_file_path(life_stage, "nymph_pop_by_generation.pdf", sub_life_stage=sub_life_stage) | |
| 532 maxval = max(P_old_nymphs+F1_old_nymphs+F2_old_nymphs) + 100; | |
| 533 prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 534 params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 535 params_hash$replications, group=P_old_nymphs, group_std_error=P_old_nymphs.std_error, | |
| 536 group2=F1_old_nymphs, group2_std_error=F1_old_nymphs.std_error, group3=F2_old_nymphs, | |
| 537 group3_std_error=F2_old_nymphs.std_error, sub_life_stage=sub_life_stage); | |
| 538 } | |
| 539 if (process_total_nymphs) { | |
| 540 # Total nymph population size by generation. | |
| 541 sub_life_stage = "Total"; | |
| 542 file_path = get_file_path(life_stage, "nymph_pop_by_generation.pdf", sub_life_stage=sub_life_stage) | |
| 543 maxval = max(P_total_nymphs+F1_total_nymphs+F2_total_nymphs) + 100; | |
| 544 prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 545 params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 546 params_hash$replications, group=P_total_nymphs, group_std_error=P_total_nymphs.std_error, | |
| 547 group2=F1_total_nymphs, group2_std_error=F1_total_nymphs.std_error, group3=F2_total_nymphs, | |
| 548 group3_std_error=F2_total_nymphs.std_error, sub_life_stage=sub_life_stage); | |
| 549 } | |
| 550 } | |
| 551 if (process_adults) { | |
| 552 life_stage = "Adult"; | |
| 553 if (process_previttelogenic_adults) { | |
| 554 # Pre-vittelogenic adult population size by generation. | |
| 555 sub_life_stage = "Pre-vittelogenic"; | |
| 556 file_path = get_file_path(life_stage, "adult_pop_by_generation.pdf", sub_life_stage=sub_life_stage) | |
| 557 maxval = max(P_previttelogenic_adults+F1_previttelogenic_adults+F2_previttelogenic_adults) + 100; | |
| 558 prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 559 params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 560 params_hash$replications, group=P_previttelogenic_adults, | |
| 561 group_std_error=P_previttelogenic_adults.std_error, group2=F1_previttelogenic_adults, | |
| 562 group2_std_error=F1_previttelogenic_adults.std_error, group3=F2_previttelogenic_adults, | |
| 563 group3_std_error=F2_previttelogenic_adults.std_error, sub_life_stage=sub_life_stage); | |
| 564 } | |
| 565 if (process_vittelogenic_adults) { | |
| 566 # Vittelogenic adult population size by generation. | |
| 567 sub_life_stage = "Vittelogenic"; | |
| 568 file_path = get_file_path(life_stage, "adult_pop_by_generation.pdf", sub_life_stage=sub_life_stage) | |
| 569 maxval = max(P_vittelogenic_adults+F1_vittelogenic_adults+F2_vittelogenic_adults) + 100; | |
| 570 prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 571 params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 572 params_hash$replications, group=P_vittelogenic_adults, | |
| 573 group_std_error=P_vittelogenic_adults.std_error, group2=F1_vittelogenic_adults, | |
| 574 group2_std_error=F1_vittelogenic_adults.std_error, group3=F2_vittelogenic_adults, | |
| 575 group3_std_error=F2_vittelogenic_adults.std_error, sub_life_stage=sub_life_stage); | |
| 576 } | |
| 577 if (process_diapausing_adults) { | |
| 578 # Diapausing adult population size by generation. | |
| 579 sub_life_stage = "Diapausing"; | |
| 580 file_path = get_file_path(life_stage, "adult_pop_by_generation.pdf", sub_life_stage=sub_life_stage) | |
| 581 maxval = max(P_diapausing_adults+F1_diapausing_adults+F2_diapausing_adults) + 100; | |
| 582 prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 583 params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 584 params_hash$replications, group=P_diapausing_adults, group_std_error=P_diapausing_adults.std_error, | |
| 585 group2=F1_diapausing_adults, group2_std_error=F1_diapausing_adults.std_error, group3=F2_diapausing_adults, | |
| 586 group3_std_error=F2_diapausing_adults.std_error, sub_life_stage=sub_life_stage); | |
| 587 } | |
| 588 if (process_total_adults) { | |
| 589 # Total adult population size by generation. | |
| 590 sub_life_stage = "Total"; | |
| 591 file_path = get_file_path(life_stage, "adult_pop_by_generation.pdf", sub_life_stage=sub_life_stage) | |
| 592 maxval = max(P_total_adults+F1_total_adults+F2_total_adults) + 100; | |
| 593 prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 594 params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 595 params_hash$replications, group=P_total_adults, group_std_error=P_total_adults.std_error, | |
| 596 group2=F1_total_adults, group2_std_error=F1_total_adults.std_error, group3=F2_total_adults, | |
| 597 group3_std_error=F2_total_adults.std_error, sub_life_stage=sub_life_stage); | |
| 598 } | |
| 599 } | |
| 600 if (process_total) { | |
| 601 life_stage = "Total"; | |
| 602 # Total population size for egg, nymph and adult by generation. | |
| 603 file_path = get_file_path(life_stage, "total_pop_by_generation.pdf") | |
| 604 maxval = max(total_adults+eggs+total_nymphs) + 100; | |
| 605 # P == total_adults | |
| 606 # P.std_error == total_adults.std_error | |
| 607 # F1 == eggs | |
| 608 # F1.std_error == eggs.std_error | |
| 609 # F2 == ??? | |
| 610 # F2.std_error == ??? | |
| 611 # FIXME: testing demonstrates that P and F1 are properly assigned | |
| 612 # above, but F2 cannot be determined. F2 should undoubtedly be | |
| 613 # total_nymphs, but the data is not the same bewteen the output | |
| 614 # from the insect_phenology_model tool and the date interval from | |
| 615 # this tool. We won't plot the total until we get time to figure | |
| 616 # this out. | |
| 617 #prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 618 # params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 619 # params_hash$replications, group=total_adults, group_std_error=total_adults.std_error, group2=eggs, | |
| 620 # group2_std_error=eggs.std_error, group3=total_nymphs, group3_std_error=total_nymphs.std_error); | |
| 621 } | |
| 622 } else { | |
| 623 chart_type = "pop_size_by_life_stage"; | |
| 624 if (process_eggs) { | |
| 625 # Egg population size. | |
| 626 life_stage = "Egg"; | |
| 627 file_path = get_file_path(life_stage, "egg_pop.pdf") | |
| 628 maxval = max(eggs+eggs.std_error) + 100; | |
| 629 prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 630 params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 631 params_hash$replications, group=eggs, group_std_error=eggs.std_error); | |
| 632 } | |
| 633 if (process_nymphs) { | |
| 634 life_stage = "Nymph"; | |
| 635 if (process_young_nymphs) { | |
| 636 # Young nymph population size. | |
| 637 sub_life_stage = "Young"; | |
| 638 file_path = get_file_path(life_stage, "nymph_pop.pdf", sub_life_stage=sub_life_stage) | |
| 639 maxval = max(young_nymphs+young_nymphs.std_error) + 100; | |
| 640 prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 641 params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 642 params_hash$replications, group=young_nymphs, group_std_error=young_nymphs.std_error, | |
| 643 sub_life_stage=sub_life_stage); | |
| 644 } | |
| 645 if (process_old_nymphs) { | |
| 646 # Old nymph population size. | |
| 647 sub_life_stage = "Old"; | |
| 648 file_path = get_file_path(life_stage, "nymph_pop.pdf", sub_life_stage=sub_life_stage) | |
| 649 maxval = max(old_nymphs+old_nymphs.std_error) + 100; | |
| 650 prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 651 params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 652 params_hash$replications, group=old_nymphs, group_std_error=old_nymphs.std_error, | |
| 653 sub_life_stage=sub_life_stage); | |
| 654 } | |
| 655 if (process_total_nymphs) { | |
| 656 # Total nymph population size. | |
| 657 sub_life_stage = "Total"; | |
| 658 file_path = get_file_path(life_stage, "nymph_pop.pdf", sub_life_stage=sub_life_stage) | |
| 659 maxval = max(total_nymphs+total_nymphs.std_error) + 100; | |
| 660 prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 661 params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 662 params_hash$replications, group=total_nymphs, group_std_error=total_nymphs.std_error, | |
| 663 sub_life_stage=sub_life_stage); | |
| 664 } | |
| 665 } | |
| 666 if (process_adults) { | |
| 667 life_stage = "Adult"; | |
| 668 if (process_previttelogenic_adults) { | |
| 669 # Pre-vittelogenic adult population size. | |
| 670 sub_life_stage = "Pre-vittelogenic"; | |
| 671 file_path = get_file_path(life_stage, "adult_pop.pdf", sub_life_stage=sub_life_stage) | |
| 672 maxval = max(previttelogenic_adults+previttelogenic_adults.std_error) + 100; | |
| 673 prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 674 params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 675 params_hash$replications, group=previttelogenic_adults, | |
| 676 group_std_error=previttelogenic_adults.std_error, sub_life_stage=sub_life_stage); | |
| 677 } | |
| 678 if (process_vittelogenic_adults) { | |
| 679 # Vittelogenic adult population size. | |
| 680 sub_life_stage = "Vittelogenic"; | |
| 681 file_path = get_file_path(life_stage, "adult_pop.pdf", sub_life_stage=sub_life_stage) | |
| 682 maxval = max(vittelogenic_adults+vittelogenic_adults.std_error) + 100; | |
| 683 prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 684 params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 685 params_hash$replications, group=vittelogenic_adults, | |
| 686 group_std_error=vittelogenic_adults.std_error, sub_life_stage=sub_life_stage); | |
| 687 } | |
| 688 if (process_diapausing_adults) { | |
| 689 # Diapausing adult population size. | |
| 690 sub_life_stage = "Diapausing"; | |
| 691 file_path = get_file_path(life_stage, "adult_pop.pdf", sub_life_stage=sub_life_stage) | |
| 692 maxval = max(diapausing_adults+diapausing_adults.std_error) + 100; | |
| 693 prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 694 params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 695 params_hash$replications, group=diapausing_adults, group_std_error=diapausing_adults.std_error, | |
| 696 sub_life_stage=sub_life_stage); | |
| 697 } | |
| 698 if (process_total_adults) { | |
| 699 # Total adult population size. | |
| 700 sub_life_stage = "Total"; | |
| 701 file_path = get_file_path(life_stage, "adult_pop.pdf", sub_life_stage=sub_life_stage) | |
| 702 maxval = max(total_adults+total_adults.std_error) + 100; | |
| 703 prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 704 params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 705 params_hash$replications, group=total_adults, group_std_error=total_adults.std_error, | |
| 706 sub_life_stage=sub_life_stage); | |
| 707 } | |
| 708 } | |
| 709 if (process_total) { | |
| 710 # Total population size. | |
| 711 life_stage = "Total"; | |
| 712 file_path = get_file_path(life_stage, "total_pop.pdf") | |
| 713 maxval = max(eggs+eggs.std_error, total_nymphs+total_nymphs.std_error, total_adults+total_adults.std_error) + 100; | |
| 714 prepare_plot(life_stage, file_path, maxval, ticks, date_labels, chart_type, params_hash$plot_std_error, | |
| 715 params_hash$insect, params_hash$location, latitude, start_date, end_date, total_days_vector, | |
| 716 params_hash$replications, group=total_adults, group_std_error=total_adults.std_error, | |
| 717 group2=total_nymphs, group2_std_error=total_nymphs.std_error, group3=eggs, group3_std_error=eggs.std_error); | |
| 718 } | |
| 719 } | |
| 720 |
