export_mfrm_results() writes the contents of an existing mfrm_results()
object to a compact analysis folder. It is a results-download helper for the
comprehensive first-screen workflow, not a new estimation, diagnostics, or
validation step. The folder is not deidentified or automatically shareable.
Usage
export_mfrm_results(
x,
output_dir = ".",
prefix = "mfrmr_results",
include = "default",
preset = NULL,
overwrite = FALSE,
acknowledge_sensitive = FALSE,
zip_bundle = FALSE,
zip_name = NULL,
plot_width = 1200,
plot_height = 900,
plot_res = 144
)Arguments
- x
An
mfrm_results()object.- output_dir
Directory where files should be written.
- prefix
File-name prefix. Non-alphanumeric characters are converted to underscores.
- include
Export components.
"default"expands to"summary","tables","html","rds","replay", and"manifest". Add"report"to writemfrm_report()tables plus Markdown and HTML; add"plots"to write available plot routes as PNG files, or use"all".- preset
Optional reader-facing analysis-archive preset.
"starter"adds the report and plot routes to the default files and writesindex.htmlwith the required Wright map for ordinary models, or the available model-specific figures for testlet and random-rater results.- overwrite
Logical; if
FALSE, existing files stop the export.- acknowledge_sensitive
Logical; set to
TRUEonly after acknowledging that every preset can contain direct person identifiers, person-level results, original labels, local paths, and a complete result object. This suppresses the privacy warning; it does not deidentify any file.- zip_bundle
Logical; if
TRUE, create a best-effort zip archive of the written files.- zip_name
Optional zip file name. When omitted,
{prefix}_mfrm_results.zipis used.- plot_width, plot_height, plot_res
PNG device settings used when
includecontains"plots".
Value
An mfrm_results_export object with summary, written_files,
plot_errors, and zip status fields.
Details
The helper writes:
summary CSVs from
summary(x)such as overview, status, triage, plot routes, next actions, mapping, and replay-code lines;collected
x$tablesas CSV files (tables with no columns are omitted; zero-row tables with defined columns retain their headers);optional report artifacts from
mfrm_report(x), including report-index, evidence-summary, and reporting-template CSVs plus Markdown and HTML;a lightweight HTML report equivalent to
mfrm_results(x, output = "html")for the already-created object;an
.rdscopy of themfrm_resultsobject;a replay
.Rscript, reloading the saved result when additional inference or posterior diagnostics are attached;a written-files manifest and compact export summary.
For testlet, random-rater and ordinary results with saved posterior response
diagnostics, GPCM inference or RSM/PCM fixed-facet intervals, replay reloads
the exported RDS without
refitting, rescoring or resampling. Requesting "replay" also includes
"rds". Run the script from the exported folder. Stored prediction settings,
unavailable rows, numerical checks and interval meanings travel with the
result. A bootstrap interval may have infinite endpoints; exports retain
them instead of substituting finite ordinary intervals.
All presets, including "starter", are analysis archives. In particular,
the default .rds file retains the complete result object, and CSV, HTML,
plot, and replay artifacts can retain direct identifiers or other sensitive
study information. The manifest labels each file for review, but the helper
does not pseudonymize, redact, or certify an export for sharing. Apply the
study's data-governance process before moving the files outside the approved
analysis environment.
Plot export is intentionally optional because some plot routes can be
comparatively slow or require richer graphics devices. Plot failures are
recorded in the returned plot_errors table rather than stopping the export.
The "starter" preset is the recommended reader-oriented analysis archive
because, for ordinary models, it
requests the Wright map in addition to the result summary, report, replay
script, and manifest. Its Infit pathway includes a bounded selection of
person rows so person fit can be reviewed without replacing the required
Wright-map first screen.
Examples
# \donttest{
# Load the package and example ratings
library(mfrmr)
toy <- load_mfrmr_data("example_operational")
# Fit the model
fit <- fit_mfrm(
data = toy,
person = "Person",
facets = c("Rater", "Criterion"),
score = "Score",
method = "MML",
model = "RSM"
)
res <- mfrm_results(fit)
# Create a new temporary folder for this example's files
# For your own analysis, use a permanent folder you can write to
output_dir <- tempfile("mfrmr-example-")
exported <- export_mfrm_results(
res,
output_dir = output_dir,
preset = "starter",
acknowledge_sensitive = TRUE # These data are synthetic; exports retain IDs
)
# Preview filenames and check whether any plots could not be exported
head(data.frame(
Component = exported$written_files$Component,
File = basename(exported$written_files$Path)
))
#> Component
#> 1 summary_overview
#> 2 summary_decision
#> 3 summary_status
#> 4 summary_fit_readiness
#> 5 summary_fit_readiness_components
#> 6 summary_fit_readiness_parameters
#> File
#> 1 mfrmr_results_summary_overview.csv
#> 2 mfrmr_results_summary_decision.csv
#> 3 mfrmr_results_summary_status.csv
#> 4 mfrmr_results_summary_fit_readiness.csv
#> 5 mfrmr_results_summary_fit_readiness_components.csv
#> 6 mfrmr_results_summary_fit_readiness_parameters.csv
exported$plot_errors
#> [1] Plot Error
#> <0 rows> (or 0-length row.names)
# Full paths remain in exported$written_files$Path.
# Open index.html in output_dir to read the report.
# }
