Anson T.Y. Ho, Kim P. Huynh, and David T. Jacho-Chavez, "npRmpi: A Package 
for Parallel Distributed Kernel Estimation in R", Journal of Applied 
Econometrics, Vol. 26, No. 2, 2011, pp. 344-349.

There are two zip files. The file npRmpi-code.zip contains the R code files,
which are ASCII files in DOS format. Unix/Linux users should use "unzip -a".
The file npRmpi-data.zip contains R data files, which are binary files as
well as their ASCII counterparts. The "-a" option should *not* be used when
unzipping this file.

##########
## Data ##
##########

o Files: sim_x1_x2.Rdata
  Format: R Data Objects
  Info: x1 takes values {"ubuntu","win"} and x2 takes values
  {"serial","1","2","3"} They contain all recorded execution times used in the
  numerical example in the paper in the form of a n1xn2xn3 array called "sim".
  n1 = 1000 is the number of Monte Carlo replications. n2 = 3 is the time that
  command 'system.time' generates, where the first two entries are the total
  user and system CPU times of the current R process and any child processes
  on which it has waited, and the third entry is the "real" elapsed time since
  the process was started. n3 = 6 is the six different sample sizes that are
  considered. 

o Files: array_x1_x2.txt
  Format: ASCII file
  Info: x1 takes values {"ubuntu","win"} and x2 takes values
        {"serial","1","2","3"} They are the ASCII version of the n1xn2xn3
	arrays called "sim" in the "sim_x1_x2.Rdata" files above.

Note: No other data are used

##############
## Software ##
##############    

o Files: sim_x1_x2.R
  Format: R transcript (source code with comments)
  Application: Monte Carlo calculations.
  Info: x1 takes values {"ubuntu","win"} and x2 takes values
        {"serial","1","2","3"}. The code executes all the Monte Carlo
	experiments in the paper.

o The software packages used to obtain the results were:
  - R system for statistical computing, version 2.11.1
    http://CRAN.R-project.org/
  - np 0.40-2
    http://CRAN.R-project.org/package=np
  - npRmpi 0.40-2
    http://CRAN.R-project.org/package=npRmpi