402—Appendix B. Command Reference

pagestruct(freq=a, start=1950)

pagestruct(none)

Cross-references

For extensive discussion, see “Structuring a Workfile” beginning on page 205 in the User’s Guide.

pageunstack Command

Unstack workfile page (convert repeated observations to repeated series).

Create a new workfile page by taking series objects (series, alphas, or links) in the default workfile page and breaking them into multiple series (or alphas), one for each distinct value found in a user supplied list of series objects. Typically used on a page with a panel structure.

Syntax

Command: pageunstack(options) stack_id obs_id [@ series_to_unstack]

where stack_id is a single series containing the unstacking ID values used to identify the individual unstacked series, obs_id is a series containing the observation IDs, and series_to_unstack is an optional list of series objects to be copied to the new workfile.

Options

404—Appendix B. Command Reference

pageunstack(namepat="?_*") country dateid @ gdp cons

creates the series US_GDP, UK_GDP, JPN_GDP, etc.

Cross-references

For additional discussion and examples, see “Unstacking a Workfile” on page 242 of the User’s Guide. See also pagestack (p. 396).

Set parameter values.

Allows you to set the current values of coefficient vectors. The command may be used to provide starting values for the parameters in nonlinear least squares, nonlinear system estimation, and (optionally) ARMA estimation.

Syntax

Command: param coef_name1 number1 [coef_name2 number2 coef_name3 number3…]

List, in pairs, the names of the coefficient vector and its element number followed by the corresponding starting values for any of the parameters in your equation.

Examples

param c(1) .2 c(2) .1 c(3) .5

resets the first three values of the coefficient vector C.

coef(3) beta

param beta(2) .1 beta(3) .5

The first line declares a coefficient vector BETA of length 3 that is initialized with zeros. The second line sets the second and third elements of BETA to 0.1 and 0.5, respectively.

Cross-references

See “Starting Values” on page 485 of the User’s Guide for a discussion of setting initial values in nonlinear estimation.

pcomp—405

Enter the name of the group followed by a period, the keyword and optionally, a list of k names to store the first k principal components. Separate each name in the list with a space and do not list more names than the number of series in the group.

Options

Examples

group g1 x1 x2 x3 x4

freeze(tab1) g1.pcomp(cor, eigval=v1, eigvec=m1) pc1 pc2

The first line creates a group named G1 containing the four series X1, X2, X3, X4. The second line stores the first two principal components of the sample correlation matrix in series named PC1 and PC2. The output view is stored in a table named TAB1, the eigenvalues in a vector named V1, and the eigenvectors in a matrix named M1.

Cross-references

See “Principal Components” on page 383 of the User’s Guide for further discussion.

406—Appendix B. Command Reference

Display pie graph view of data in object, or change existing graph object type to pie chart.

Display pie charts for any number of series or data in a matrix object. There will be one pie for each date or observation number, or each row of a matrix, provided the values are positive. Each series or column is shown as a wedge in a different color/pattern, where the width of the wedge equals the percentage contribution of the series/column to the total of all listed series.

Syntax

To use pie as a command, simply list the name of one or more series or groups, or a matrix object to include in the pie chart. You may also change the exiting graph type by using pie as a proc. Simply list the graph name, followed by a period, and the pie keyword.

Options

The options which support the “-” may be proceeded by a “+” or “-” indicating whether to turn on or off the option. The “+” is optional.