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Print Method for compare_model_fit Objects

Source: R/compare_model_fit-methods.R
print.compare_model_fit.Rd

print.compare_model_fit() prints a text summary of compare-model-fit tables to the console. By default, Chi2 is shown with 2 decimals while other indices use digits, and fractional chi-square df values are rounded to 2 decimals in the Chi2(df) header. For markdown or HTML output (or to override column-specific digits), use format_results().

Usage

# S3 method for class 'compare_model_fit'
print(x, digits = 3, ci_digits = digits, p_digits = 3, ...)

Arguments

x

An object of class compare_model_fit, typically created by the compare_model_fit function.

digits

Number of digits for rounding numeric values. Default is 3.

ci_digits

Number of digits for rounding confidence intervals. Default is digits.

p_digits

Number of digits for rounding p-values. Default is 3.

...

Other arguments are ignored.

Value

Returns x invisibly.

See also

format_results()

Examples

if (requireNamespace("lavaan", quietly = TRUE)) {
  library(psymetrics)
  library(lavaan)

  hs_model <- 'visual  =~ x1 + x2 + x3
               textual =~ x4 + x5 + x6
               speed   =~ x7 + x8 + x9'
  fit1 <- cfa(hs_model, data = HolzingerSwineford1939,
              estimator = "ML")
  fit2 <- cfa(hs_model, data = HolzingerSwineford1939,
              estimator = "MLR")
  comparison <- compare_model_fit(fit1, fit2)
  comparison
  print(comparison, digits = 4)
  html_table <- format_results(comparison, output = "html")
  if (interactive()) {
    html_table
  }
} else {
  message("Please install 'lavaan' to run this example.")
}
#> MODEL | NOBS | ESTIMATOR | NPAR | Chi2(24) | p (Chi2) |  CFI   |  TLI  
#> -----------------------------------------------------------------------
#> fit1  | 301  |    ML     |  21  |  85.31   |  < .001  | 0.9306 | 0.8958
#> fit2  | 301  |    MLR    |  21  |  87.13   |  < .001  | 0.9252 | 0.8878
#> 
#> MODEL | RMSEA  |    RMSEA  CI     |  SRMR 
#> ------------------------------------------
#> fit1  | 0.0921 | [0.0714, 0.1137] | 0.0652
#> fit2  | 0.0935 | [0.0726, 0.1152] | 0.0652
#>