write.result: Write Results of a misty Object into an Excel file

In misty: Miscellaneous Functions 'T. Yanagida'

Write Results of a misty Object into an Excel file

Description

This function writes the results of a misty.object) into an Excel file.

Usage

write.result(x, file = "Results.xlsx", tri = x$args$tri,
             digits = x$args$digits, p.digits = x$args$p.digits,
             icc.digits = x$args$icc.digits, r.digits = x$args$r.digits,
             ess.digits = x$args$ess.digits, mcse.digits = x$args$mcse.digits,
             check = TRUE)

Arguments

x	misty object (misty.object) resulting from a misty function supported by the write.result function (see 'Details').
file	a character string naming a file with or without file extension '.xlsx', e.g., "Results.xlsx" or "Results".
tri	a character string or character vector indicating which triangular of the matrix to show on the console, i.e., both for upper and lower triangular, lower for the lower triangular, and upper for the upper triangular.
digits	an integer value indicating the number of decimal places digits to be used for displaying results.
p.digits	an integer indicating the number of decimal places to be used for displaying p-values.
icc.digits	an integer indicating the number of decimal places to be used for displaying intraclass correlation coefficients.
r.digits	an integer value indicating the number of decimal places to be used for displaying R-hat values.
ess.digits	an integer value indicating the number of decimal places to be used for displaying effective sample sizes.
mcse.digits	an integer value indicating the number of decimal places to be used for displaying Monte Carlo standard errors.
check	logical: if TRUE (default), argument specification is checked.

Details

Currently the function supports result objects from the following functions: blimp.bayes, ci.cor, ci.mean, ci.median, ci.prop, ci.var, ci.sd, cor.matrix, crosstab, descript, dominance.manual, dominance, effsize, freq, item.alpha, item.cfa, item.invar, item.omega, mplus.bayes, multilevel.cfa, multilevel.cor, multilevel.descript, multilevel.fit, multilevel.invar, multilevel.omega, na.auxiliary, na.coverage, na.descript, na.pattern, result.lca, robust.coef, and std.coef.

Author(s)

Takuya Yanagida [e-mail]

Examples

## Not run: 

#----------------------------------------------------------------------------
# Example 1: item.cfa() function

# Load data set "HolzingerSwineford1939" in the lavaan package
data("HolzingerSwineford1939", package = "lavaan")

result <- item.cfa(HolzingerSwineford1939[, c("x1", "x2", "x3")], output = FALSE)
write.result(result, "CFA.xlsx")

#----------------------------------------------------------------------------
# Example 2: multilevel.descript() function

# Load data set "Demo.twolevel" in the lavaan package
data("Demo.twolevel", package = "lavaan")

result <- multilevel.descript(y1:y3, data = Demo.twolevel, cluster = "cluster",
                              output = FALSE)
write.result(result, "Multilevel_Descript.xlsx")

## End(Not run)

misty documentation built on April 4, 2025, 3:49 a.m.