npRmpi (version 0.60-20)

Italy: Italian GDP Panel

Description

Italian GDP growth panel for 21 regions covering the period 1951-1998 (millions of Lire, 1990=base). There are 1008 observations in total.

Usage

data("Italy")

Format

A data frame with 2 columns, and 1008 rows.

year

the first column, of type ordered

gdp

the second column, of type numeric: millions of Lire, 1990=base

References

Baiocchi, G. (2006), “Economic Applications of Nonparametric Methods,” Ph.D. Thesis, University of York.

Examples

if (FALSE) {
## Not run in checks: excluded to keep MPI examples stable and check times short.
## The following example is adapted for interactive parallel execution
## in R. Here we spawn 1 slave so that there will be two compute nodes
## (master and slave). Kindly see the batch examples in the demos
## directory (npRmpi/demos) and study them carefully. Also kindly see
## the more extensive examples in the np package itself. See the npRmpi
## vignette for further details on running parallel np programs via
## vignette("npRmpi",package="npRmpi").

## Start npRmpi for interactive execution. If slaves are already running and
## `options(npRmpi.reuse.slaves=TRUE)` (default on some systems), this will
## reuse the existing pool instead of respawning. To change the number of
## slaves, call `npRmpi.stop(force=TRUE)` then restart.
npRmpi.start(nslaves=1)

data("Italy")
mpi.bcast.Robj2slave(Italy)

attach(Italy)

plot(ordered(year), gdp, xlab="Year (ordered factor)",
     ylab="GDP (millions of Lire, 1990=base)")

detach(Italy)

## For the interactive run only we close the slaves perhaps to proceed
## with other examples and so forth. This is redundant in batch mode.

## Note: on some systems (notably macOS+MPICH), repeatedly spawning and
## tearing down slaves in the same R session can lead to hangs/crashes.
## npRmpi may therefore keep slave daemons alive by default and
## `npRmpi.stop()` performs a "soft close". Use `force=TRUE` to
## actually shut down the slaves.
##
## You can disable reuse via `options(npRmpi.reuse.slaves=FALSE)` or by
## setting the environment variable `NP_RMPI_NO_REUSE_SLAVES=1` before
## loading the package.

npRmpi.stop()               ## soft close (may keep slaves alive)
## npRmpi.stop(force=TRUE)  ## hard close

## Note that in order to exit npRmpi properly avoid quit(), and instead
## use mpi.quit() as follows.

## mpi.bcast.cmd(mpi.quit(),
##               caller.execute=TRUE)
}