NCA_fetch_ana_pknca {ruminate} | R Documentation |
Fetch PKNCA Results Object
Description
Fetches the PKNCA output for a specified analysis
Usage
NCA_fetch_ana_pknca(state, current_ana)
Arguments
state |
NCA state from |
current_ana |
Current value in the analysis |
Value
Dataset from the ds
field of FM_fetch_ds()
Examples
library(ruminate)
# Module IDs
id = "NCA"
id_UD = "UD"
id_DW = "DW"
id_ASM = "ASM"
# We need session and input variables to be define
sess_res = NCA_test_mksession(session=list(),
id = id,
id_UD = id_UD,
id_DW = id_DW,
id_ASM = id_ASM,
full_session=FALSE)
# Extracting the session and input variables
session = sess_res$session
input = sess_res$input
react_state = list()
# We also need configuration files
FM_yaml_file = system.file(package = "formods", "templates", "formods.yaml")
MOD_yaml_file = system.file(package = "ruminate", "templates", "NCA.yaml")
# Getting the current module state
state = NCA_fetch_state(id = id,
input = input,
session = session,
FM_yaml_file = FM_yaml_file,
MOD_yaml_file = MOD_yaml_file,
id_ASM = id_ASM,
id_UD = id_UD,
id_DW = id_DW,
react_state = react_state)
# Pulls out the active analysis
current_ana = NCA_fetch_current_ana(state)
# This will get the dataset associated with this analysis
ds = NCA_fetch_ana_ds(state, current_ana)
# After making changes you can update those in the state
state = NCA_set_current_ana(state, current_ana)
# You can use this to check the current analysis
current_ana = NCA_process_current_ana(state)
# This will pull out the code for the module
fc_res = NCA_fetch_code(state)
# This will use patterns defined for the site to detect
# columns. In this example we are detecting the id column:
id_col = NCA_find_col(
patterns = state[["MC"]][["detect_col"]][["id"]],
dscols = names(ds$DS))
# This creates a new analysis
state = NCA_new_ana(state)
[Package ruminate version 0.2.4 Index]