semTools (version 0.4-11)

clipboard_saveFile: Copy or save the result of lavaan or FitDiff objects into a clipboard or a file

Description

Copy or save the result of lavaan or FitDiff object into a clipboard or a file. From the clipboard, users may paste the result into the Microsoft Excel or spreadsheet application to create a table of the output.

Usage

clipboard(object, what="summary", ...)
saveFile(object, file, what="summary", tableFormat=FALSE, ...)

Arguments

object

The lavaan or FitDiff object

what

The attributes of the lavaan object to be copied in the clipboard. "summary" is to copy the screen provided from the summary function. "mifit" is to copy the result from the

file

A file name used for saving the result

tableFormat

If TRUE, save the result in the table format using tabs for seperation. Otherwise, save the result as the output screen printed in the R console.

...

Additional argument listed in the miPowerFit function (for lavaan object only).

Value

• The resulting output will be saved into a clipboard or a file. If using the clipboard function, users may paste it in the other applications.

Examples

library(lavaan)
HW.model <- ' visual  =~ x1 + c1*x2 + x3
              textual =~ x4 + c1*x5 + x6
               speed   =~ x7 + x8 + x9 '

fit <- cfa(HW.model, data=HolzingerSwineford1939, group="school", meanstructure=TRUE)

# Copy the summary of the lavaan object
clipboard(fit)

# Copy the modification indices and the model fit from the miPowerFit function
clipboard(fit, "mifit")

# Copy the parameter estimates
clipboard(fit, "coef")

# Copy the standard errors
clipboard(fit, "se")

# Copy the sample statistics
clipboard(fit, "samp")

# Copy the fit measures
clipboard(fit, "fit")

# Save the summary of the lavaan object
saveFile(fit, "out.txt")

# Save the modification indices and the model fit from the miPowerFit function
saveFile(fit, "out.txt", "mifit")

# Save the parameter estimates
saveFile(fit, "out.txt", "coef")

# Save the standard errors
saveFile(fit, "out.txt", "se")

# Save the sample statistics
saveFile(fit, "out.txt", "samp")

# Save the fit measures
saveFile(fit, "out.txt", "fit")