print() turns an efa_power() result into a short report, and format()
builds the same report as a character vector (print() is
cat(format(x), sep = "\n")).
Arguments
- x
An object of class
efa_power(output fromefa_power()).- digits
Integer. The number of decimal places the reported values are rounded to. Default is 3.
- ...
Not used; for consistency with the generic.
Value
print() returns its argument x invisibly. format() returns a
character vector with the report lines.
Details
For an RMSEA-mode object, the report has a header naming the test, the null and alternative hypotheses with the significance level and degrees of freedom, the headline result (the power at the sample size, or the required sample size for the target power), and the critical value and noncentrality parameters.
For a simulation-mode object, the report instead has the population and design, the retention hit-rate per criterion, the structure-recovery rate, and the convergence and Heywood-case rate.
The lines follow the active console theme, so they print as plain text when
colours are disabled – for example when captured into a file, or stripped with
cli::ansi_strip().
See also
Other power analysis:
efa_power(),
plot.efa_power()
Examples
pw <- efa_power(df = 100, N = 200)
pw
#>
#> ── RMSEA power analysis ────────────────────────────────────────────────────────
#>
#> Test of close fit: H0 RMSEA ≤ .050 vs. H1 RMSEA = .080.
#> alpha = .050 · df = 100
#>
#> Power = .955 at N = 200.
#> Critical value χ²(100) = 183.967 · noncentrality H0 = 49.750, H1 = 127.360.
# format() returns the same lines as a character vector:
writeLines(format(pw))
#>
#> ── RMSEA power analysis ────────────────────────────────────────────────────────
#>
#> Test of close fit: H0 RMSEA ≤ .050 vs. H1 RMSEA = .080.
#> alpha = .050 · df = 100
#>
#> Power = .955 at N = 200.
#> Critical value χ²(100) = 183.967 · noncentrality H0 = 49.750, H1 = 127.360.