Aptech Systems, Inc. Worldwide Headquarters
Aptech Systems, Inc.
2250 East Germann Road, Suite #10
Chandler, AZ 85286
Ready to Get Started?
For Pricing and Distribution
Training & Events
Step-by-step, informative lessons for those who want to dive into GAUSS and achieve their goals, fast.
Have a Specific Question?
Q&A: Register and Login
Premier Support and Platinum Premier Support are annually renewable membership programs that provide you with important benefits including technical support, product maintenance, and substantial cost-saving features for your GAUSS System or the GAUSS Engine.
Join our community to see why our users are considered some of the most active and helpful in the industry!
Where to Buy
Available across the globe, you can have access to GAUSS no matter where you are.
Recent Tagsapplications character vectors CMLMT Constrained Optimization covariance matrix datasets dates dlibrary dllcall Editor error error handling errors Excel FANPACMT file i/o GAUSS Engine graphics GUI hardware histogram hotkeys installation Java API linux loading data localization loops Matlab convert matrices matrix manipulation Maxlik MaxLikMT Optmum output pgraph graph PQG graphics procs random numbers simulation string functions strings threading Time Series writing data
Time Series 2.0 MT
Find out more now
Time Series MT 2.1
How can I load each variable from a GAUSS dataset and retain the variable names?
I would like to load the data from my GAUSS dataset and have it create a GAUSS level variable for each of the variables in my dataset. For example, if I have a GAUSS dataset containing the variables GDP, GNP and Inflation, I would like to have a function that creates each of these variables in my workspace rather than just loading all the variables as one matrix.
Here is a procedure that will accomplish what you would like, with an example:
//Load all variables into the GAUSS workspace //To run this example using the example dataset, //freqdata.dat, your current working directory //must be the GAUSS examples directory loadDataVars("freqdata.dat"); proc (0) = loadDataVars(fname); local x, r, fh, vnames,i, ret; //Open the dataset and read in variable names open fh = ^fname for read; vnames = getnamef(fh); //read all rows of dataset into 'x' at once r = rowsf(fh); x = readr(fh, r); //loop through each variable in the dataset //and create a global variable for each //variable in the dataset for i(1, cols(x), 1); ret = varput(x[.,i], vnames[i]); endfor; //Optional, create a global 'x' containing //all observations of all variables ret = varput(x, "x"); //Close the dataset file ret = close(fh); endp;