as.data.frame.mfrm_fit: Convert mfrm_fit to a tidy data.frame

In mfrmr: Estimation and Diagnostics for Many-Facet Measurement Models

Convert mfrm_fit to a tidy data.frame

Description

Returns all facet-level estimates (person and others) in a single tidy data.frame. Useful for quick interactive export: write.csv(as.data.frame(fit), "results.csv").

Usage

## S3 method for class 'mfrm_fit'
as.data.frame(x, row.names = NULL, optional = FALSE, ...)

Arguments

x	An mfrm_fit object from fit_mfrm.
row.names	Ignored (included for S3 generic compatibility).
optional	Ignored (included for S3 generic compatibility).
...	Additional arguments (ignored).

Details

This method returns four columns (Facet, Level, Estimate, Extreme) so that the result is easy to inspect, join, or write to disk.

Value

A data.frame with columns Facet, Level, Estimate, and Extreme. The Extreme column is populated for person rows from the extreme-score flag added in 0.1.6 ("Min" / "Max" / NA); non-person facet rows carry NA in that column by design.

Interpreting output

Person estimates are returned with Facet = "Person". All non-person facets are stacked underneath in the same schema.

Typical workflow

1. Fit a model with fit_mfrm().

2. Convert with as.data.frame(fit) for a compact long-format export.

3. Join additional diagnostics later if you need SE or fit statistics.

See Also

fit_mfrm, export_mfrm

Examples

toy <- load_mfrmr_data("example_core")
fit <- fit_mfrm(toy, "Person", c("Rater", "Criterion"), "Score",
                method = "JML", model = "RSM", maxit = 30)
head(as.data.frame(fit))

mfrmr documentation built on June 13, 2026, 1:07 a.m.