Takes the ui elements in the state and element and attempts to add a rule.
Arguments
- state
CTS state from
CTS_fetch_state()- element
Element list from
CTS_fetch_current_element()
Value
Element with the results of adding the rule. The rares list
element can be used to determine the exit status of the function.
RULE_IS_GOOD If true it indicates that the pieces of the rule from the UI check out.
RULE_UPDATED If RULE_IS_GOOD and RULE_UPDATED is true then a previous rule definition was overwritten. If RULE_IS_GOOD is TRUE and RULE_UPDATED is FALSE then a new rule was added.
notify_text Text for notify message
notify_id Notification ID
notify_type Notification type
msgs Vector of messages.
Details
This depends on the following UI values in the state and element
state[["CTS"]][["ui"]][["rule_name"]]state[["CTS"]][["ui"]][["rule_condition"]]state[["CTS"]][["ui"]][["rule_type"]]For rule type "dose"
state[["CTS"]][["ui"]][["action_dosing_state"]]state[["CTS"]][["ui"]][["action_dosing_values"]]state[["CTS"]][["ui"]][["action_dosing_times"]]state[["CTS"]][["ui"]][["action_dosing_durations"]]
For rule type "set state"
state[["CTS"]][["ui"]][["action_set_state_state"]]state[["CTS"]][["ui"]][["action_set_state_values"]]
For rule type "manual code"
state[["CTS"]][["ui"]][["action_manual_code"]]
Examples
# For more information see the Clinical Trial Simulation vignette:
# https://ruminate.ubiquity.tools/articles/clinical_trial_simulation.html
# None of this will work if rxode2 isn't installed:
library(formods)
if( Sys.getenv("ruminate_rxfamily_found") == "TRUE"){
# This will populate the session variable with the model building (MB) module
sess_res = MB_test_mksession()
session = sess_res[["session"]]
id = "CTS"
id_ASM = "ASM"
id_MB = "MB"
input = list()
# Configuration files
FM_yaml_file = system.file(package = "formods", "templates", "formods.yaml")
MOD_yaml_file = system.file(package = "ruminate", "templates", "CTS.yaml")
state = CTS_fetch_state(id = id,
id_ASM = id_ASM,
id_MB = id_MB,
input = input,
session = session,
FM_yaml_file = FM_yaml_file,
MOD_yaml_file = MOD_yaml_file,
react_state = NULL)
# Fetch a list of the current element
current_ele = CTS_fetch_current_element(state)
# You can modify the element
current_ele[["element_name"]] = "A more descriptive name"
# Defining the source model
state[["CTS"]][["ui"]][["source_model"]] = "MB_obj_1_rx"
current_ele = CTS_change_source_model(state, current_ele)
# Single visit
current_ele[["ui"]][["visit_times"]] = "0"
current_ele[["ui"]][["cts_config_nsteps"]] = "5"
# Creating a dosing rule
state[["CTS"]][["ui"]][["rule_condition"]] = "time == 0"
state[["CTS"]][["ui"]][["rule_type"]] = "dose"
state[["CTS"]][["ui"]][["action_dosing_state"]] = "central"
state[["CTS"]][["ui"]][["action_dosing_values"]] = "c(1)"
state[["CTS"]][["ui"]][["action_dosing_times"]] = "c(0)"
state[["CTS"]][["ui"]][["action_dosing_durations"]] = "c(0)"
state[["CTS"]][["ui"]][["rule_name"]] = "Single_Dose"
# Adding the rule:
current_ele = CTS_add_rule(state, current_ele)
# Appending the plotting details as well
current_ele[["ui"]][["fpage"]] = "1"
current_ele[["ui"]][["dvcols"]] = "Cc"
# Reducing the number of subjects and steps to speed things up on CRAN
current_ele[["ui"]][["nsub"]] = "2"
current_ele[["ui"]][["cts_config_nsteps"]] = "5"
# Putting the element back in the state forcing code generation
state = CTS_set_current_element(
state = state,
element = current_ele)
# Now we pull out the current element, and simulate it
current_ele = CTS_fetch_current_element(state)
#current_ele = CTS_simulate_element(state, current_ele)
# Next we plot the element
current_ele = CTS_plot_element(state, current_ele)
# Now we save those results back into the state:
state = CTS_set_current_element(
state = state,
element = current_ele)
# This will extract the code for the current module
code = CTS_fetch_code(state)
code
# This will update the checksum of the module state
state = CTS_update_checksum(state)
# Access the datasets generated from simulations
ds = CTS_fetch_ds(state)
# CTS_add_covariate
state[["CTS"]][["ui"]][["covariate_value"]] = "70, .1"
state[["CTS"]][["ui"]][["covariate_type_selected"]] = "cont_lognormal"
state[["CTS"]][["ui"]][["selected_covariate"]] = "WT"
current_ele = CTS_add_covariate(state, current_ele)
# Creates a new empty element
state = CTS_new_element(state)
# Delete the current element
state = CTS_del_current_element(state)
}
#> → ASM: including file
#> → ASM: source: file.path(system.file(package="onbrand"), "templates", "report.docx")
#> → ASM: dest: file.path("config","report.docx")
#> → ASM: including file
#> → ASM: source: file.path(system.file(package="onbrand"), "templates", "report.pptx")
#> → ASM: dest: file.path("config","report.pptx")
#> → ASM: including file
#> → ASM: source: file.path(system.file(package="onbrand"), "templates", "report.yaml")
#> → ASM: dest: file.path("config","report.yaml")
#> → ASM: State initialized
#> → ASM: module isgood: TRUE
#> → MB: including file
#> → MB: source: file.path(system.file(package="onbrand"), "templates", "report.docx")
#> → MB: dest: file.path("config","report.docx")
#> → MB: including file
#> → MB: source: file.path(system.file(package="onbrand"), "templates", "report.pptx")
#> → MB: dest: file.path("config","report.pptx")
#> → MB: including file
#> → MB: source: file.path(system.file(package="onbrand"), "templates", "report.yaml")
#> → MB: dest: file.path("config","report.yaml")
#> ! MB: User-defined model: /Users/jmh/projects/ruminate/github/ruminate/docs/reference/user_model.R not found (skipping)
#> ! MB: User-defined model: /Users/jmh/projects/ruminate/github/ruminate/docs/reference/user_model.ctl not found (skipping)
#> → MB: module checksum updated:24933f86b657b9503f22440e8c4d3cac
#> → MB: State initialized
#> → MB: loading model idx: 1
#>
#>
#> ℹ parameter labels from comments are typically ignored in non-interactive mode
#> ℹ Need to run with the source intact to parse comments
#> → MB: model checksum updated: 8911fc506ba3bf2824e9ff1da1379aac
#> → MB: module checksum updated:5095d65c2f257d705855a6ddbc6dc7a7
#> → MB: setting name: One compartment model
#> → MB: setting time scale: hours
#> → MB: setting base from: user
#> → MB: setting catalog selection:
#> → MB: setting base model id: manual
#> → MB: setting base model name: manual
#> → MB: model checksum updated: a9377216084868217a1496c27e249347
#> → MB: module checksum updated:d81158159bd5323e1e73f01f41e5cdd7
#> → MB: added element idx: 1
#> → MB: loading model idx: 2
#>
#>
#> ℹ parameter labels from comments are typically ignored in non-interactive mode
#> ℹ Need to run with the source intact to parse comments
#> → MB: model checksum updated: a2705583c39f533700b82e27229faaf5
#> → MB: module checksum updated:ad958a4d17feaeeba51248cd2625870d
#> → MB: setting name: PK Biomarker
#> → MB: setting time scale: days
#> → MB: setting base from: user
#> → MB: setting catalog selection:
#> → MB: setting base model id: manual
#> → MB: setting base model name: manual
#> → MB: model checksum updated: 9e566c4f2ecefda905229bfcaa28cf71
#> → MB: module checksum updated:0a5d8f6a73a7b85b9e966de1594b3865
#> → MB: added element idx: 2
#> Called from: MB_preload(session = session, src_list = src_list, yaml_res = yaml_res,
#> mod_ID = mod_ID, react_state = react_state, quickload = quickload)
#> debug: formods::FM_le(state, paste0("module isgood: ", isgood))
#> → MB: module isgood: TRUE
#> debug: if (("ShinySession" %in% class(session))) {
#> FM_set_mod_state(session, mod_ID, state)
#> } else {
#> session = FM_set_mod_state(session, mod_ID, state)
#> }
#> debug: session = FM_set_mod_state(session, mod_ID, state)
#> debug: res = list(isgood = isgood, msgs = msgs, session = session, input = input,
#> react_state = react_state, state = state)
#> debug: res
#> → CTS: including file
#> → CTS: source: file.path(system.file(package="onbrand"), "templates", "report.docx")
#> → CTS: dest: file.path("config","report.docx")
#> → CTS: including file
#> → CTS: source: file.path(system.file(package="onbrand"), "templates", "report.pptx")
#> → CTS: dest: file.path("config","report.pptx")
#> → CTS: including file
#> → CTS: source: file.path(system.file(package="onbrand"), "templates", "report.yaml")
#> → CTS: dest: file.path("config","report.yaml")
#> → CTS: source model change detected
#> → CTS: > covariates reset
#> → CTS: cohort checksum updated: bc1de16244650329a4c97a63637aa965
#> → CTS: module checksum updated: 170f83727acd417f0374620f03dc4316
#> → CTS: State initialized
#> → CTS: add rule success
#> → CTS: rule added
#> → CTS: cohort checksum updated: e1016d9b9a9b7f40fd94748a022ad9b2
#> → CTS: module checksum updated: e1916d18bb5feed8da2e7438fe507c40
#> → CTS: CTS_plot_element()
#> → CTS: # Plotting timecourse
#> → CTS: CTS_obj_1_fgtc =
#> → CTS: plot_sr_tc(sro = CTS_obj_1_simres,
#> → CTS: xcol = "time",
#> → CTS: xlab_str = "Time",
#> → CTS: fncol = 4,
#> → CTS: fnrow = 2,
#> → CTS: dvcols = "Cc",
#> → CTS: fpage = 1)
#> → CTS:
#> → CTS: # Plotting events
#> → CTS: CTS_obj_1_fgev =
#> → CTS: plot_sr_ev(sro = CTS_obj_1_simres,
#> → CTS: xcol = "time",
#> → CTS: xlab_str = "Time",
#> → CTS: fncol = 4,
#> → CTS: fnrow = 2,
#> → CTS: evplot = 1,
#> → CTS: fpage = 1)
#> → CTS: No simulation available, you need to run the simulation first.
#> → CTS: cohort checksum updated: 9447936205fe2f5f0b9ab2a675b2ae36
#> → CTS: module checksum updated: a7c7a1459ecce59a2b1786534a9c8733
#> → CTS: source model change detected
#> → CTS: > covariates reset
#> → CTS: cohort checksum updated: 8468c4a061cb1df849ddd449fdad0ec7
#> → CTS: module checksum updated: 4ebd301c4d0b5427cbdf841e2b9f228c