Dataclass-class {distrSim} | R Documentation |
In an object of type "Dataclass" data can be saved containing any number of runs in any dimension. All information about the data is stored in a unified way.
Objects can be created by calls of the form Dataclass(filename, Data)
.
A Dataclass-object includes, aside from the actual data, a filename
and the number of runs and the size of the sample, which give the
number of rows and columns of the data matrix.
filename
:"character"
: the filename the data shall be savedData
:"vectororNULL"
:
the actual data, either of type "NULL" (means no data) or "vector"runs
:"numeric"
:
the number of runs of the datasamplesize
:"numeric"
:
the size of the samplesignature(object = "Dataclass")
:
returns the actual datasignature(object = "Dataclass")
:
changes the datasignature(object = "Dataclass", estimator =
"function")
:
creates an object of type "Evaluation", see there for further information
signature(object = "Dataclass")
:
returns the the filenamesignature(object = "Dataclass")
:
changes the the filenamesignature(.Object = "Dataclass")
:
initialize methodsignature(object = "Dataclass")
:
returns the number of runssignature(object = "Dataclass")
:
returns the size of the samplesignature(object = "Dataclass")
:
saves the object in the directory of R and also a copy without datasignature(x = "Dataclass")
:
produces a plot of the data matrixsignature(x = "Dataclass")
:
returns filename, number of runs and the size of the samplesignature(object = "Dataclass")
:
returns the same information as print, moreover a statistical
summary for each runThe saved Dataclass can be loaded with the usual load-command, the saved comment with the function cload.
Thomas Stabla statho3@web.de,
Florian Camphausen fcampi@gmx.de,
Peter Ruckdeschel Peter.Ruckdeschel@uni-bayreuth.de,
Matthias Kohl Matthias.Kohl@stamats.de
Simulation-class
Contsimulation-class
Evaluation-class
plot-methods
print-methods
summary-methods
load
cload
savedata-methods
D <- Dataclass(Data = matrix(c(1,2,3,4,5,6),2), filename = "xyz.sav") # A new object of type "Dataclass" is created. savedata(D) # creates a file called "xyz.sav" where the information is saved and a # copy "xyz.sav.comment" without data Data(D) <- matrix(c(11,12,13,14,15,16),2) # changes the data of D cload("xyz.sav") # loads the object without data - it is called "D.comment" D.comment load("xyz.sav") # loads the original object "D" Data(D) # the original data: matrix(c(1,2,3,4,5,6),2) #if you have distrTEst available: #evaluate(object = D, estimator = mean) # returns the mean of each variable