factorAnalyzeR: Factor Analysis Functions
In enaY15/TabulationAutomation: Auomated analysis and tabulation of results

Factor Analysis Functions

factorAnalyzeR(
  modelFactorsList,
  factorIndicatorsList,
  varSpec = NULL,
  factorVarSpec = "free",
  indVarSpec = "@1",
  categoricalInds = NULL,
  na.string = "-9999",
  mplusDataFilePath,
  mplusDataFileColumnNames,
  templateName = "MPLUStemplate",
  mplusOutputDirectory = getwd(),
  run = FALSE,
  starts = "50 20",
  iterations = "10",
  cores = 8,
  monitor = "off",
  outputTechOptions = "TECH1 TECH3 TECH8",
  integration = "montecarlo",
  estimator = "mlr",
  extraUseVars = NULL,
  variableExtras = NULL,
  analysisExtras = NULL,
  type = NULL
)

`modelFactorsList`	List of vectors of factors for each model List elements: Vectors corresponding to models; Vector elements: Each is a string with one factor name for that model (use addModelContent function; see documentation using ?TabulationAutomation::addModelContent)
`factorIndicatorsList`	List of vectors of factor indicators List elements = vectors corresponding to models; Vector elements = each factor's indicators smushed into one string ***(indicators separated by spaces or dashes for consecutive naming, e.g. "a1-a4 b1 b4")
`varSpec`	Specify list of lists of factor and indicator variance specifications Should have names of list = models; names of sublists = factors with variance specifications (e.g. f1@1); elements of sublists = vectors of indicators with specifications (e.g. c1*)
`factorVarSpec`	Specify "free" if factors "free" to have different variances or "standardized" to fix at one (can also specify a string to fix each factor according to custom MPlus syntax (e.g. "@0"))
`indVarSpec`	Variances for factor indicators. Specify "free" for syntax like f BY a*. Or can specify custom string. (e.g. @1)
`categoricalInds`	Vectors (elements = models): NULL if all indicators continuous for that model If model has ANY categorical indicators, string of categorical indicators' names in dataset ***Indicators separated by spaces or dashes for consecutive naming, e.g., for 2 models; one all continuous, one with categorical a1, a2, a3, b1, b4: c(NULL, "a1-a3 b1 b4")
`na.string`	What value indicates missing variables in the data MPlus will analyze? (Default "-9999")
`mplusDataFilePath`	Full file path for the data MPlus will analyze?
`templateName`	What should the template created by this function be called? (specify without ".txt" file extension)
`mplusOutputDirectory`	Where should the MPlus syntax template and Mplus .inp and .out files go?
`run`	TRUE if you want to run the syntax created by the template
`starts`	String with number of initial stage starts and final stage optimizations, e.g., "100 20"
`iterations`	Initial stage iterations, e.g. "10"
`cores`	Number of logical processors to use (MandelBot = 64)
`monitor`	"on" or "off" for MPlus monitor option
`outputTechOptions`	e.g. 'TECH1 TECH3 TECH4 TECH8 TECH10 residual standardized cinterval patterns'
`integration`	e.g. 'INTEGRATION = montecarlo'
`extraUseVars`	For instance, if you wanted to include more than just factor indicators, like subpopulation identifiers
`variableExtras`	e.g. 'cluster is PSU; stratification is STRATUM; weight is WEIGHT;'
`analysisExtras`	Any extra syntax for the ANALYSIS command
`type`	e.g. "complex;", "mixture;", etc.