# Uniform
global_start <- new.env()
global_start$start_params[, 2] <- max_accuracy_rcw_uniform$optim_results$optim$bestmem[2]
#global_start$start_params[,6] <- 1
#global_start$start_params <- rbind(max_acc_rcw_uniform$optim_results$member$pop,max_acc_rcw_uniform$optim_results$member$pop)
global_start$start_params <- NULL
rstudioapi::jobRunScript('~/Dropbox/Calen/Work/search/modeling/_analysis/_code/gain_map/maximum_accuracy_uniform_rcw.R', 'max_accuracy_rcw_uniform',
exportEnv = "max_accuracy_rcw_uniform", importEnv = global_start)
file_code <- stringi::stri_rand_strings(1, 16)
save(file = paste0('/tmp/', file_code), max_accuracy_rcw_uniform)
#Bump
global_start <- new.env()
global_start$start_params <- max_accuracy_rcw_polar_bump$optim_results$member$pop
rstudioapi::jobRunScript('~/Dropbox/Calen/Work/search/modeling/_analysis/_code/gain_map/maximum_accuracy_polar_bump_rcw.R', 'max_accuracy_rcw_polar_bump',
exportEnv = "max_accuracy_rcw_polar_bump", importEnv = global_start)
file_code <- stringi::stri_rand_strings(1, 16)
save(file = paste0('/tmp/', file_code), max_accuracy_rcw_polar_bump)
# Decreasing
global_start <- new.env()
global_start$start_params <- max_accuracy_rcw_polar_concave$optim_results$member$pop
#global_start$start_params[,7] <- .777
rstudioapi::jobRunScript('~/Dropbox/Calen/Work/search/modeling/_analysis/_code/gain_map/maximum_accuracy_polar_rcw.R', 'max_accuracy_rcw_polar_concave',
exportEnv = "max_accuracy_rcw_polar_concave",
importEnv = global_start)
file_code <- stringi::stri_rand_strings(1, 16)
save(file = paste0('/tmp/', file_code), max_accuracy_rcw_polar_concave)
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