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## SemPlotModel
# Note on edge specification:
# '->' is factor loading
# '~>' is regression
# '<->' is (co)variance
# 'int' is an intercept
setClass( "semPlotModel", representation(
Pars = "data.frame",
Vars = "data.frame",
Thresholds = "data.frame",
Computed = "logical",
ObsCovs = "list",
ImpCovs = "list",
Original = "list"))
setGeneric("semPlotModel_S4", function(object,...) {
standardGeneric("semPlotModel_S4")
})
#
# setGeneric("semPaths.S4", function(object,...) {
# standardGeneric("semPaths.S4")
# })
#
# semPaths <- function(object,...)
# {
# if ("MxRAMModel"%in%class(object)) return(semPaths_MxRAMModel(object,...))
# if ("MxModel"%in%class(object)) return(semPaths_MxModel(object,...))
# if(isS4(object))
# {
# semPaths.S4(object, ...)
# } else
# {
# UseMethod("semPaths", object)
# }
# }
semPlotModel <- function (object, ...) {
# Check if call contains a + operator, if so combine models:
call <- paste(deparse(substitute(object)), collapse = "")
if (grepl("\\+",call) & !grepl("\"",call) & !grepl("\'",call))
{
args <- unlist(strsplit(call,split="\\+"))
obs <- lapply(args,function(x)semPlotModel(eval(parse(text=x))))
Res <- obs[[1]]
for (i in 2:length(obs)) Res <- Res + obs[[i]]
return(Res)
}
if ("MxRAMModel"%in%class(object)) return(semPlotModel_MxRAMModel(object))
if ("MxModel"%in%class(object)) return(semPlotModel_MxModel(object))
if(isS4(object))
{
semPlotModel_S4(object)
} else
{
UseMethod("semPlotModel", object)
}
}
semPlotModel.semPlotModel <- function(object,...) object
# semPaths.default <- function(object,...)
# {
# if (is.character(object) && grepl("\\.out",object))
# {
# return(semPaths(readModels(object),...))
# }
# }
semPlotModel.default <- function(object,...)
{
if (is(object,'data.frame'))
{
mod <- try(semPlotModel_lavaanModel(object,...),silent=TRUE)
if (!"try-error"%in%class(mod)) return(mod)
}
if (is.character(object))
{
if (!file.exists(object))
{
mod <- try(semPlotModel_lavaanModel(object,...),silent=TRUE)
if (!"try-error"%in%class(mod)) return(mod) else stop("Input string neither an existing file or Lavaan model.")
}
# Find file:
if (grepl("\\.xml",object,ignore.case=TRUE))
{
return(semPlotModel_Onyx(object))
}
if (grepl("\\.AmosOutput",object,ignore.case=TRUE))
{
return(semPlotModel_Amos(object))
}
# Read first 100 lines:
head <- readLines(object, 10)
if (any(grepl("mplus",head,ignore.case=TRUE)))
{
return(semPlotModel.mplus.model(object,...))
}
if (any(grepl("l\\s*i\\s*s\\s*r\\s*e\\s*l",head,ignore.case=TRUE)))
{
return(semPlotModel(readLisrel(object)))
}
# If all else fais, just try everything and assume you get errors
# if it is wrong:
mod <- try(semPlotModel_lavaanModel(object,...),silent=TRUE)
if (!"try-error"%in%class(mod)) return(mod)
mod <- try(semPlotModel.mplus.model(object,...),silent=TRUE)
if (!"try-error"%in%class(mod)) return(mod)
mod <- try(semPlotModel(readLisrel(object)),silent=TRUE)
if (!"try-error"%in%class(mod)) return(mod)
mod <- try(semPlotModel_Onyx(object),silent=TRUE)
if (!"try-error"%in%class(mod)) return(mod)
mod <- try(semPlotModel_Amos(object),silent=TRUE)
if (!"try-error"%in%class(mod)) return(mod)
# Well, we failed...
}
stop("Object not recognized as SEM model")
}
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