print.delta_med function

Print a 'delta_med' Class Object

Print the content of a delta_med-class object.

## S3 method for class 'delta_med'
print(x, digits = 3, level = NULL, full = FALSE, boot_type, ...)

Arguments

• x: A delta_med-class object.

• digits: The number of digits after the decimal. Default is 3.

• level: The level of confidence of bootstrap confidence interval, if requested when created. If NULL, the default, the level requested when calling delta_med() is used. If not null, then this level will be used.

• full: Logical. Whether additional information will be printed. Default is FALSE.

• boot_type: If bootstrap confidence interval is to be formed, the type of bootstrap confidence interval. The supported types are "perc" (percentile bootstrap confidence interval, the recommended method) and "bc"

  (bias-corrected, or BC, bootstrap confidence interval). If not supplied, the stored boot_type will be used.

• ...: Optional arguments. Ignored.

Returns

x is returned invisibly. Called for its side effect.

Details

It prints the output of delta_med(), which is a delta_med-class object.

Examples

library(lavaan)
dat <- data_med
mod <-
"
m ~ x
y ~ m + x
"
fit <- sem(mod, dat)
dm <- delta_med(x = "x",
                y = "y",
                m = "m",
                fit = fit)
dm
print(dm, full = TRUE)

# Call do_boot() to generate
# bootstrap estimates
# Use 2000 or even 5000 for R in real studies
# Set parallel to TRUE in real studies for faster bootstrapping
boot_out <- do_boot(fit,
                    R = 45,
                    seed = 879,
                    parallel = FALSE,
                    progress = FALSE)
# Remove 'progress = FALSE' in practice
dm_boot <- delta_med(x = "x",
                     y = "y",
                     m = "m",
                     fit = fit,
                     boot_out = boot_out,
                     progress = FALSE)
dm_boot
confint(dm_boot)
confint(dm_boot,
        level = .90)

See Also

delta_med()

Author(s)

Shu Fai Cheung https://orcid.org/0000-0002-9871-9448