loadObject: Load saved data of class Object and use reObject as necessary
In galgo: Genetic Algorithms for Multivariate Statistical Models from Large-Scale Functional Genomics Data

Description Usage Arguments Details Value Warning Author(s) See Also Examples

Load the data from a file into the .GlobalEnv (or any other enviroment). If variables were converted to a list using unObject, this variables are converted to original object using reObject method.

1	loadObject(file=NULL, envir=.GlobalEnv, verbose=T, reobjectize=T, compatibilize=TRUE, ...)

`file`	The file to load.
`envir`	The environment to load the data. The default is `.GlobalEnv`.
`verbose`	Displays progress.
`reobjectize`	Specify if reObject method should be called. Defaults to TRUE.
`compatibilize`	Compatibilze chromosomes built on previous versions.
`...`	Additional arguments to reObject

A data frame with variable names and class of loaded objects.

It could take some seconds for large and/or complex objects/files.

Victor Trevino

unObject, reObject.

library(R.oo)  # needed library
o <- Object()
o$x = 1
o$y = 2
o$x
o$y
o
class(o)
names(o)
uo <- unObject(o)
uo
class(uo)
uoTempFile <- file.path(tempdir(), "uo.Rdata")
save(uo, file=uoTempFile)


### perhaps other session here
library(R.oo)
loadObject(uoTempFile)
uo
class(uo)
# the class is the original from the original object (o in this case)

### equivalent to:
library(R.oo)
load(uoTempFile)
uo <- reObject(uo)
uo
class(uo)