LatexSummaryTable: Display summary table of Mplus model statistics in separate...
In MplusAutomation: An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus

LatexSummaryTable

R Documentation

Display summary table of Mplus model statistics in separate window

Description

Creates a LaTex-formatted summary table of model fit statistics extracted using the extractModelSummaries function. The table syntax is returned by the function, which is useful for embedding LaTex tables using Sweave. By default, the following summary statistics are included: Title, LL, Parameters, AIC, AICC, BIC, RMSEA_Estimate, but these are customizable using the keepCols and dropCols parameters.

Usage

LatexSummaryTable(
  modelList,
  keepCols,
  dropCols,
  sortBy = NULL,
  label = NULL,
  caption = NULL
)

Arguments

`modelList`	A list of models (as a `data.frame`) returned from the `extractModelSummaries` function.
`keepCols`	A vector of character strings indicating which columns/variables to display in the summary. Only columns included in this list will be displayed (all others excluded). By default, `keepCols` is: `c("Title", "LL", "Parameters", "AIC", "AICC", "BIC", "RMSEA_Estimate")`. Example: `c("Title", "LL", "AIC", "CFI")`
`dropCols`	A vector of character strings indicating which columns/variables to omit from the summary. Any column not included in this list will be displayed. By default, `dropCols` is `NULL`. Example: `c("InputInstructions", "TLI")`
`sortBy`	optional. Field name (as character string) by which to sort the table. Typically an information criterion (e.g., "AIC" or "BIC") is used to sort the table. Defaults to `NULL`, which does not sort the table.
`label`	optional. A character string specifying the label for the LaTex table, which can be used for referencing the table.
`caption`	optional. A character string specifying the caption for the LaTex table.

Value

A LaTex-formatted table summarizing the modelList is returned (created by xtable).

Note

You must choose between keepCols and dropCols because it is not sensible to use these together to include and exclude columns. The function will error if you include both parameters.