Returns the catalogue of what = values accepted by the plot() methods,
with the group each belongs to, so the available views can be listed rather
than recalled from a help page.
Value
A base data.frame with one row per plot type and the columns
type (the value to pass as what), group ("measurement",
"structure", "diagnostics", "selection" or "every"), and
description.
Examples
plot_views()
#> type group
#> 1 profiles measurement
#> 2 bars measurement
#> 3 heatmap measurement
#> 4 raincloud measurement
#> 5 parallel measurement
#> 6 pairs measurement
#> 7 responses measurement
#> 8 probabilities structure
#> 9 sequences structure
#> 10 transitions structure
#> 11 sizes diagnostics
#> 12 entropy diagnostics
#> 13 posteriors diagnostics
#> 14 avepp diagnostics
#> 15 enumeration selection
#> 16 tree selection
#> 17 all every
#> description
#> 1 Profile means, medians or modes across indicators, one line per profile
#> 2 Profile means as grouped bars from zero, with 95% intervals
#> 3 Profile means in observed standard deviations from the observed mean
#> 4 Each indicator's distribution by assigned profile: density, box, observations
#> 5 Every case as a line across indicators, one panel per profile
#> 6 Scatter-plot matrix with each profile's 95% covariance ellipse
#> 7 Categorical response probabilities, one line per profile
#> 8 Profile prevalence within each group class, the two-level quantity
#> 9 Each group's profile at each occasion, one row per group
#> 10 Estimated transition matrix, one panel per group class (a transition fit)
#> 11 Effective number of cases in each profile, with its share
#> 12 Each case's entropy relative to a flat posterior, by profile
#> 13 Posterior probability of each case's assigned profile, by profile
#> 14 Average posterior probability: assigned profile by posterior profile
#> 15 Information criteria across a candidate grid (plot an enumeration)
#> 16 How profiles split as more are added (plot an enumeration)
#> 17 Every view above that this fit has the ingredients for, in one call