Takes an NCA state and an analysis list and sets that figure list as the value for the active figure
Arguments
- state
NCA state from
NCA_fetch_state()- ana
Analysis list from
NCA_fetch_current_ana
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)
#> → UD: including file
#> → UD: source: file.path(system.file(package="onbrand"), "templates", "report.docx")
#> → UD: dest: file.path("config","report.docx")
#> → UD: including file
#> → UD: source: file.path(system.file(package="onbrand"), "templates", "report.pptx")
#> → UD: dest: file.path("config","report.pptx")
#> → UD: including file
#> → UD: source: file.path(system.file(package="onbrand"), "templates", "report.yaml")
#> → UD: dest: file.path("config","report.yaml")
#> → UD: State initialized
#> → UD: module checksum updated:897d952fecbc804999396a96f9df4b20
#> → DW: including file
#> → DW: source: file.path(system.file(package="onbrand"), "templates", "report.docx")
#> → DW: dest: file.path("config","report.docx")
#> → DW: including file
#> → DW: source: file.path(system.file(package="onbrand"), "templates", "report.pptx")
#> → DW: dest: file.path("config","report.pptx")
#> → DW: including file
#> → DW: source: file.path(system.file(package="onbrand"), "templates", "report.yaml")
#> → DW: dest: file.path("config","report.yaml")
#> → DW: State initialized
#> → DW: module checksum updated:5b0f0b05ee3ac7336a74c564bb6efdad
#> → DW: module checksum updated:65801ab4b3c645aabf7edf91fc2f0d2c
#> → DW: module checksum updated:7fb2dd3b16b1780c4c24f64d658dd7c7
#> → DW: module checksum updated:5ab04ea00be44c0040695a4ed6243c90
#> → DW: module checksum updated:960db107cfe9db93578f79f0ae6283e2
#> → DW: module checksum updated:f0b5d122dcb04f207cba233253b61c4b
#> → DW: module checksum updated:189ed77a84bd9fcdd7b26abff8bea34a
#> → DW: module checksum updated:669ec77d50652669cd3fcfd949469b37
#> → DW: module checksum updated:dd6cafa0be3b6b195d230a11e9f07f9f
#> → DW: module checksum updated:5c2022c376ca8f56b839347156559890
#> → DW: module checksum updated:43640500a04674debd8e2399056c384a
#> → DW: module checksum updated:f81c45ac1ef4e7b43153d8c8eaf7aed6
#> → DW: module checksum updated:207cde891d98e20c4afbb7fb5fb0aba2
#> → DW: module checksum updated:0a673e81c01cbbf33533dd65d6baf9e3
#> → DW: module checksum updated:af3f3aefd0115ed9dfdd4d6ef9d5182f
#> → DW: module checksum updated:b0ccaee21e859322df0bf79d00c4b347
#> → DW: module checksum updated:2d3d6e9e38be6dea813b2d4d679e34b5
#> → DW: module checksum updated:2b60dd49b48a4e65200dc7241ad270e3
#> → DW: module checksum updated:3c92f397181a4fcdbdf2bd7dd7425e77
#> → DW: module checksum updated:92b81d7573def603649370b87c123b55
#> → DW: module checksum updated:9210264aabc0339e832b0c6bcfda32af
#> → DW: module checksum updated:fe62fde1e7e738a1a35c479de9d5007b
#> → DW: module checksum updated:ff3edcd4c1e58c96ea2707361916ffbc
#> → DW: module checksum updated:b6cdfcef0432c5d9b1fa2bd46122ffa2
#> → DW: module checksum updated:4fa4283f1fd8fd6cf6e6e7df0669723a
#> → DW: module checksum updated:cf3e139cef554b2d09dca619ee6aff41
#> → DW: module checksum updated:a9154d91a9e4b5d21f9585a6f68dd083
#> → DW: module checksum updated:4b5c6ad66658ddfa92d10ae1b0b7afa8
#> → DW: module checksum updated:591ac875a490b66a1fa7f4e7d4ba1c62
#> → DW: module checksum updated:afa3ca309cc3e6a48f542f4e8eadd54a
#> → DW: module checksum updated:5c918dd4f53a4f1e56115abb09c4f332
#> → DW: module checksum updated:159ddf8c8cd26b178dfda5434bbecfa1
#> → DW: module checksum updated:8bb3c97e700998f2f73353189bd07831
#> → DW: module checksum updated:a1eceffec3ff7d9f9961683b3d07088b
#> → NCA: including file
#> → NCA: source: file.path(system.file(package="onbrand"), "templates", "report.docx")
#> → NCA: dest: file.path("config","report.docx")
#> → NCA: including file
#> → NCA: source: file.path(system.file(package="onbrand"), "templates", "report.pptx")
#> → NCA: dest: file.path("config","report.pptx")
#> → NCA: including file
#> → NCA: source: file.path(system.file(package="onbrand"), "templates", "report.yaml")
#> → NCA: dest: file.path("config","report.yaml")
#> ✖ NCA: Parameter specified in YAML is not a valid PKNCA parameter: sparse_se
#> ✖ NCA: Parameter specified in YAML is not a valid PKNCA parameter: sparse_df
#> → NCA: including file
#> → NCA: source: file.path(system.file(package="onbrand"), "templates", "report.docx")
#> → NCA: dest: file.path("config","report.docx")
#> → NCA: including file
#> → NCA: source: file.path(system.file(package="onbrand"), "templates", "report.pptx")
#> → NCA: dest: file.path("config","report.pptx")
#> → NCA: including file
#> → NCA: source: file.path(system.file(package="onbrand"), "templates", "report.yaml")
#> → NCA: dest: file.path("config","report.yaml")
#> → NCA: State initialized
#> → NCA: State initialized
#> → NCA: loading analysis scenario: sd_iv
#> → NCA: NCA_add_int: append
#> → NCA: NCA_add_int: append
#> Warning: NAs introduced by coercion
#> Warning: NAs introduced by coercion
#> Warning: NAs introduced by coercion
#> Warning: NAs introduced by coercion
#> Warning: NAs introduced by coercion
#> Warning: NAs introduced by coercion
#> Warning: NAs introduced by coercion
#> Warning: NAs introduced by coercion
#> Warning: NAs introduced by coercion
#> → NCA: module checksum updated:26e4359b0193802023d7ab395475e8b8
# 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)
#> Warning: NAs introduced by coercion
#> Warning: NAs introduced by coercion
#> Warning: NAs introduced by coercion
#> Warning: NAs introduced by coercion
# 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))
#> Warning: Unknown or uninitialised column: `DS`.
# This creates a new analysis
state = NCA_new_ana(state)