Mathematica latest software to offer built-in Integration with R #rstats

Just got a message from the good chaps at Wolfram Alpha/Mathematica

 

Mathematica 9 offers built-in ways to integrate R code into your Mathematica workflow, combining Mathematica‘s broad range of capabilities with the statistical computing language. RLink uses J/Link and rJava/JRI Java libraries to allow the user to exchange data between Mathematica and R and to execute R code from within Mathematica. With RLink, R users can use thousands of functions from across the full Mathematica system.

see more at

http://www.wolfram.com/mathematica/new-in-9/built-in-integration-with-r/

wolfram

Matlab-Mathematica-R and GPU Computing

Matlab announced they have a parallel computing toolbox- specially to enable GPU computing as well

http://www.mathworks.com/products/parallel-computing/

Parallel Computing Toolbox™ lets you solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters. High-level constructs—parallel for-loops, special array types, and parallelized numerical algorithms—let you parallelize MATLAB® applications without CUDA or MPI programming. You can use the toolbox with Simulink® to run multiple simulations of a model in parallel.

MATLAB GPU Support

The toolbox provides eight workers (MATLAB computational engines) to execute applications locally on a multicore desktop. Without changing the code, you can run the same application on a computer cluster or a grid computing service (using MATLAB Distributed Computing Server™). You can run parallel applications interactively or in batch.

Parallel Computing with MATLAB on Amazon Elastic Compute Cloud (EC2)

Also a video of using Mathematica and GPU

Also R has many packages for GPU computing

Parallel computing: GPUs

from http://cran.r-project.org/web/views/HighPerformanceComputing.html

  • The gputools package by Buckner provides several common data-mining algorithms which are implemented using a mixture of nVidia‘s CUDA langauge and cublas library. Given a computer with an nVidia GPU these functions may be substantially more efficient than native R routines. The rpud package provides an optimised distance metric for NVidia-based GPUs.
  • The cudaBayesreg package by da Silva implements the rhierLinearModel from the bayesm package using nVidia’s CUDA langauge and tools to provide high-performance statistical analysis of fMRI voxels.
  • The rgpu package (see below for link) aims to speed up bioinformatics analysis by using the GPU.
  • The magma package provides an interface to the hybrid GPU/CPU library Magma (see below for link).
  • The gcbd package implements a benchmarking framework for BLAS and GPUs (using gputools).

I tried to search for SAS and GPU and SPSS and GPU but got nothing. Maybe they would do well to atleast test these alternative hardwares-

Also see Matlab on GPU comparison for the product Jacket vs Parallel Computing Toolbox

http://www.accelereyes.com/products/compare

Born in the USA?

Here is some econometric search-ing I did

Using Google Public Data-and Wolfram Alpha and The Bureau of Labour Statistics

United States

United States – Monthly Data
Data Series Back
Data
May
2009
June
2009
July
2009
Aug
2009
Sept
2009
Oct
2009
Unemployment Rate (1)
Jump to page with historical data
9.4 9.5 9.4 9.7 9.8 10.2
Change in Payroll Employment (2)
Jump to page with historical data
-303 -463 -304 -154 (P) -219 (P) -190
Average Hourly Earnings (3)
Jump to page with historical data
18.53 18.54 18.59 18.66 (P) 18.67 (P) 18.72
Consumer Price Index (4)
Jump to page with historical data
0.1 0.7 0.0 0.4 0.2 0.3
Producer Price Index (5)
Jump to page with historical data
0.2 1.7 (P) -1.0 (P) 1.7 (P) -0.6 (P) 0.3
U.S. Import Price Index (6)
Jump to page with historical data
1.7 2.7 (R) -0.6 (R) 1.5 (R) 0.2 (R) 0.7
Footnotes
(1) In percent, seasonally adjusted. Annual averages are available for Not Seasonally Adjusted data.
(2) Number of jobs, in thousands, seasonally adjusted.
(3) For production and nonsupervisory workers on private nonfarm payrolls, seasonally adjusted.
(4) All items, U.S. city average, all urban consumers, 1982-84=100, 1-month percent change, seasonally adjusted.
(5) Finished goods, 1982=100, 1-month percent change, seasonally adjusted.
(6) All imports, 1-month percent change, not seasonally adjusted.
(R) Revised
(P) Preliminary
United States – Quarterly Data
Data Series Back
Data
3rd Qtr
2008
4th Qtr
2008
1st Qtr
2009
2nd Qtr
2009
3rd Qtr
2009
Employment Cost Index (1)
Jump to page with historical data
0.6 0.6 0.3 0.4 0.4
Productivity (2)
Jump to page with historical data
-0.1 0.8 0.3 6.9 9.5
Footnotes
(1) Compensation, all civilian workers, quarterly data, 3-month percent change, seasonally adjusted.
(2) Output per hour, nonfarm business, quarterly data, percent change from previous quarter at annual rate, seasonally adjusted.

And also included are the average wages for salary of teachers and average salary per hour of some offshore  prone industries

http://www.bls.gov/oes/2008/may/oes_nat.htm#b25-0000

http://www.bls.gov/oes/2008/may/oes_nat.htm#b11-0000

and

http://www.google.com/publicdata?ds=usunemployment&met=unemployment_rate&idim=state:ST370000:ST540000:ST510000&tdim=true

WHAT THEY PAY TEACHERS (MAY 2008)

Education, Training, and Library Occupations top
Wage Estimates
Occupation Code Occupation Title (click on the occupation title to view an occupational profile) Employment (1) Median Hourly Mean Hourly Mean Annual (2) Mean RSE (3)
25-0000 Education, Training, and Library Occupations 8,451,250 $21.26 $23.30 $48,460 0.5 %
25-1011 Business Teachers, Postsecondary 69,690 (4) (4) $77,340 1.0 %
25-1021 Computer Science Teachers, Postsecondary 32,520 (4) (4) $74,050 1.0 %
25-1022 Mathematical Science Teachers, Postsecondary 45,710 (4) (4) $68,130 0.9 %
25-1031 Architecture Teachers, Postsecondary 6,430 (4) (4) $75,450 1.9 %
25-1032 Engineering Teachers, Postsecondary 32,070 (4) (4) $90,070 1.1 %
25-1041 Agricultural Sciences Teachers, Postsecondary 10,000 (4) (4) $77,770 1.6 %
25-1042 Biological Science Teachers, Postsecondary 51,930 (4) (4) $83,270 2.7 %

WHAT THEY PAY THEMSELVES

Management Occupations top
Wage Estimates
Occupation Code Occupation Title (click on the occupation title to view an occupational profile) Employment (1) Median Hourly Mean Hourly Mean Annual (2) Mean RSE (3)
11-0000 Management Occupations 6,152,650 $42.15 $48.23 $100,310 0.2 %
11-1011 Chief Executives 301,930 $76.23 $77.13 $160,440 0.5 %
11-1021 General and Operations Managers 1,697,690 $44.02 $51.91 $107,970 0.2 %
11-1031 Legislators 64,650 (4) (4) $37,980 1.1 %

and JOBS PRONE TO SHORTAGE /OFFSHORING

Computer and Mathematical Science Occupations top
Wage Estimates
Occupation Code Occupation Title (click on the occupation title to view an occupational profile) Employment (1) Median Hourly Mean Hourly Mean Annual (2) Mean RSE (3)
15-0000 Computer and Mathematical Science Occupations 3,308,260 $34.26 $35.82 $74,500 0.3 %
15-1011 Computer and Information Scientists, Research 26,610 $47.10 $48.51 $100,900 1.1 %
15-1021 Computer Programmers 394,230 $33.47 $35.32 $73,470 0.6 %
15-1031 Computer Software Engineers, Applications 494,160 $41.07 $42.26 $87,900 0.4 %
15-1032 Computer Software Engineers, Systems Software 381,830 $44.44 $45.44 $94,520 0.5 %
15-1041 Computer Support Specialists 545,520 $20.89 $22.29 $46,370 0.3 %
15-1051 Computer Systems Analysts 489,890 $36.30 $37.90 $78,830 0.4 %
15-1061 Database Administrators 115,770 $33.53 $35.05 $72,900 0.8 %
15-1071 Network and Computer Systems Administrators 327,850 $31.88 $33.45 $69,570 0.3 %
15-1081 Network Systems and Data Communications Analysts 230,410 $34.18 $35.50 $73,830 0.4 %
15-1099 Computer Specialists, All Other 191,780 $36.13 $36.54 $76,000 0.5 %
15-2011 Actuaries 18,220 $40.77 $46.14 $95,980 1.4 %
15-2021 Mathematicians 2,770 $45.75 $45.65 $94,960 1.7 %
15-2031 Operations Research Analysts 60,860 $33.17 $35.68 $74,220 0.8 %
15-2041 Statisticians 20,680 $34.91 $35.96 $74,790 1.5 %
15-2091 Mathematical Technicians 1,100 $18.46 $20.24 $42,100 2.7 %
15-2099 Mathematical Science Occupations, All Other 6,600 $26.44 $31.55 $65,630 4.3 %

 

UNEMPLOYED IN THE USA (above)

BY STATE (below)

16 million people out of work. Give or take a million.

How can America pay 5.6 million people UNEMPLOYMENT BENEFITS

Keep another 10 million unemployed,

another 10 million only partially employed.

[tweetmeme source=”decisionstats”]

and still claim aggregate cost savings from offshoring jobs.