Convert mfrm_fit to a tidy data.frame

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).

Value

A data.frame with columns Facet, Level, Estimate.

Details

This method is intentionally lightweight: it returns just three columns (Facet, Level, Estimate) so that the result is easy to inspect, join, or write to disk.

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 = 25)
head(as.data.frame(fit))
#>       Facet Level   Estimate
#> P001 Person  P001  0.6845546
#> P002 Person  P002  1.6762276
#> P003 Person  P003  1.2585927
#> P004 Person  P004  0.9018833
#> P005 Person  P005  0.9018833
#> P006 Person  P006 -1.5232321