Print latents results

Print methods for the objects the package returns: fitted models, enumerations, bootstrap tests, covariate and transition models, pooled imputations, their summaries, result tables and plot lists. Each prints a compact overview; get_results() returns the tables themselves as data frames.

Usage

# S3 method for class 'multilpa_enumeration'
print(x, ...)

# S3 method for class 'multilpa_start'
print(x, ...)

# S3 method for class 'summary_multilpa_additive'
print(x, digits = 4L, ...)

# S3 method for class 'multilpa_additive'
print(x, ...)

# S3 method for class 'multilpa_covariates'
print(x, rows = 20L, ...)

# S3 method for class 'summary_multilpa_covariates'
print(x, digits = 4L, rows = 10L, ...)

# S3 method for class 'summary_multilpa_enumeration'
print(x, digits = 4L, rows = 10L, ...)

# S3 method for class 'multilpa_bootstrap_lrt'
print(x, ...)

# S3 method for class 'summary_multilpa_bootstrap_lrt'
print(x, digits = 4L, rows = 10L, ...)

# S3 method for class 'latents_growth_mixture'
print(x, digits = 4L, ...)

# S3 method for class 'summary_latents_growth_mixture'
print(x, digits = 4L, ...)

# S3 method for class 'latents_table'
print(x, n = 20L, ...)

# S3 method for class 'multilpa'
print(x, rows = 20L, ...)

# S3 method for class 'summary_multilpa'
print(x, digits = 4L, rows = 10L, ...)

# S3 method for class 'latents_mixture_regression'
print(x, digits = 4L, ...)

# S3 method for class 'summary_latents_mixture_regression'
print(x, digits = 4L, ...)

# S3 method for class 'latents_plots'
print(x, ...)

# S3 method for class 'latents_pooled'
print(x, digits = 4L, rows = 20L, ...)

# S3 method for class 'multilpa_transitions'
print(x, rows = 20L, ...)

# S3 method for class 'summary_multilpa_transitions'
print(x, digits = 4L, rows = 10L, ...)

Arguments

x

An object returned by a latents function, or the summary() of one.

...

Passed to the underlying data frame printing, or ignored.

digits

Number of significant digits printed.

rows

How many rows of each table to print. A longer table is shown to that depth, with its remaining row count and the get_results() call that returns it whole.

n

The most rows of a result table printed.

Value

x, invisibly. Called for the side effect of printing.

See also

get_results() for the tables, latents-summary and latents-as-data-frame.

Examples

fit <- multilpa(course_engagement, c("browse", "lectures", "forum_read"),
                "student", n_profiles = 2, n_group_classes = 2,
                n_starts = 2, seed = 1)
print(fit, rows = 3)
#> Two-level latent profile analysis: 2 profiles, 2 group classes
#> 1422 individuals in 106 groups; varying diagonal residual covariance (VVI)
#> Log likelihood: -5390.952704 | AIC: 10811.905 | BIC (groups): 10851.857
#> Converged: TRUE | iterations: 12 | best start: 1/2
#> 
#>  profile     browse   lectures forum_read    count proportion
#>        1  0.5388561  0.4194852  0.6130248 842.6325  0.5925686
#>        2 -0.7837817 -0.6102031 -0.8914110 579.3675  0.4074314
#> 
#> Variances and standard errors: get_results(x, "profiles"). 
#> Every other table: get_results(x, what = ), or get_results(x, "all").