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lavaan
or FitDiff
objects into a
clipboard or a fileCopy 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.
clipboard(object, what = "summary", ...)saveFile(object, file, what = "summary", tableFormat = FALSE,
fit.measures = "default", writeArgs = list(), ...)
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
miPowerFit
function. Other attributes listed in the
inspect
method in the lavaan-class could also be used,
such as "coef"
, "se"
, "fit"
, "samp"
, and so on.
For the The '>FitDiff
object, this argument is not active
yet.
Additional argument listed in the miPowerFit
function (for lavaan
object only).
A file name used for saving the result
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.
character
vector specifying names of fit measures
returned by fitMeasures
to be copied/saved. Only
relevant if object
is class '>FitDiff
.
list
of additional arguments to be passed to
write.table
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.
# NOT RUN {
# }
# NOT RUN {
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")
# }
# NOT RUN {
# }
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