Baseline-versus-comparison shifts for each participant, with visit and summary-stat controls.
The chart below is live — rendered by the safety.viz
shiftPlot module on the package’s example data, with the
full control sidebar.
The same chart ships as a gsm-idiom report workflow. Run it with
gsm.core::RunWorkflow() to produce a standalone HTML
report, or use the matching runner script:
lWorkflow <- yaml::read_yaml(
system.file("workflow", "3_reports", "safety_shift_plot.yaml", package = "gsm.safety")
)
gsm.core::RunWorkflow(
lWorkflow = lWorkflow,
lData = list(dfResults = ExampleData("adbds"))
)
Rscript inst/examples/shift-plot.R <output-dir>
safety_shift_plot.yaml workflow
meta:
Type: Report
ID: safety_shift_plot
Output: html
Name: Safety Shift Plot Report
Description: Interactive safety.viz shift plot pairing baseline and comparison visit results.
lSettings:
filters:
- value_col: SITEID
label: Site ID
- value_col: SEX
label: Sex
- value_col: RACE
label: Race
- value_col: ARM
label: Treatment Group
baseline_visits:
- Baseline
comparison_visits:
- Week 26
spec:
dfResults:
USUBJID:
type: character
TEST:
type: character
VISIT:
type: character
STRESN:
type: numeric
steps:
- output: strOutputDir
name: getwd
- output: lWidget
name: gsm.safety::Widget_ShiftPlot
params:
dfResults: dfResults
lSettings: lSettings
- output: strReportPath
name: gsm.safety::SaveWidgetReport
params:
widget: lWidget
strOutputDir: strOutputDir
strOutputFile: ID
library(gsm.safety)
dfResults <- ExampleData("adbds")
Widget_ShiftPlot(
dfResults,
lSettings = list(
filters = list(
list(value_col = "SITEID", label = "Site ID"),
list(value_col = "SEX", label = "Sex"),
list(value_col = "RACE", label = "Race"),
list(value_col = "ARM", label = "Treatment Group")
),
baseline_visits = list("Baseline"),
comparison_visits = list("Week 26")
)
)