RESTORE
IN=store-name </ option> ;
The RESTORE statement specifies an item store that provides spatial correlation model input for the PROC SIM2D simulation tasks. An item store is a binary file defined by the SAS System. You cannot modify the contents of an item store. The SIM2D procedure can use only item stores created by PROC VARIOGRAM.
Item stores enable you to use saved correlation models without having to repeat specification of these models in the SIMULATE statement. In principle, an item store contains the chosen model from a model fitting process in PROC VARIOGRAM. If more than one model form is fitted, then all successful fits are included in the item store. In this case, you can choose any of the available models to use for simulation with the STORESELECT(MODEL=) option in the SIMULATE statement. Successfully fitted models might include questionable fits, which are so flagged when you specify the INFO option to display model names.
The store-name is a usual one- or two-level SAS name, as for SAS data sets. If you specify a one-level name, then the item store resides
in the WORK library and is deleted at the end of the SAS session. Since item stores are often used for postprocessing tasks,
typical usage specifies a two-level name of the form libname.membername
.
When you specify the RESTORE statement, the default output contains some general information about the input item store. This information includes the store name, label (if assigned), the data set that was used to create the store, BY group information, the procedure that created the store, and the creation date.
You can specify the following option in the RESTORE statement after a slash (/):
Each variable in an item store has a mean value that is passed to PROC SIM2D and used in simulations. If the mean in the item store is a missing value, then a zero mean is used by default. Specify the MEAN StatementMEAN statement to override the mean information in the item store. For example, if you want to use only the correlation model in the item store and exclude the accompanying mean, then explicitly specify a zero mean in the MEAN StatementMEAN statement.
When you specify an input item store with the RESTORE statement in PROC SIM2D, all the DATA= input data set variables must match input item store variables. If there are BY groups in the input DATA= set or in the input RESTORE variables, then PROC SIM2D handles the different cases as follows:
If both PROC SIM2D has BY groups and the RESTORE statement has BY groups, then the analysis variables must match. This matching assumes implicitly that in each BY group of PROC SIM2D and the item store, the corresponding set of observations and correlation model comes from the same random field. This assumption is valid if you use the same data set, first in PROC VARIOGRAM to fit a model and save it in the item store, and then in PROC SIM2D to run simulations with the resulting correlation models.
If PROC SIM2D has BY groups but the item store does not, then the item store is accepted only if the procedure and the item store analysis variables match. In this case, the same item store model choice iterates across the BY groups of the input data. You are advised to proceed with caution: each BY group in the input DATA= set corresponds to a different realization of a random field. Hence, by using the same correlation model for simulation purposes, you implicitly assume that all these different realizations are instances of the same random field.
If PROC SIM2D has an input DATA= set and no BY groups but the item store has BY groups, then the item store is rejected
If PROC SIM2D has no input DATA= set and the item store has BY groups, then PROC SIM2D runs unconditional simulations for the models in the store BY groups. See also the BY statement for more about the behavior in this case.