I hava a dataset created in Gauss which is divided in 3 files R.1, TT1.DAT, TT1.DHT.
How can I open it and export it into Excel or .cvs format so that Gauss recognizes that it is from the same dataset?
Thanks for you help.
1 Answer
0
The most current GAUSS dataset format holds everything in a single .dat file. The previous generation GAUSS dataset held the data in the .dat file and the header names in the .dht file.
You can load the data from TT1.DAT with the loadd command and you can load the headers with getheaders like this:
data = loadd("TT1.DAT");
var_names = getheaders("TT1.DAT");Now that you have this data in GAUSS, you can create a dataset in a new format with the saved command like this:
// Save data in a GAUSS dataset
saved(data, "TT1.DAT", var_names);
// Save data in a CSV file
saved(data, "TT1.csv", var_names);
// Save data in an Excel file
saved(data, "TT1.xlsx", var_names);The last two variations require GAUSS version 19. If you have an older version of GAUSS, you can write the data to Excel with the xlsWrite function.
Your Answer
1 Answer
The most current GAUSS dataset format holds everything in a single .dat file. The previous generation GAUSS dataset held the data in the .dat file and the header names in the .dht file.
You can load the data from TT1.DAT with the loadd command and you can load the headers with getheaders like this:
data = loadd("TT1.DAT");
var_names = getheaders("TT1.DAT");Now that you have this data in GAUSS, you can create a dataset in a new format with the saved command like this:
// Save data in a GAUSS dataset
saved(data, "TT1.DAT", var_names);
// Save data in a CSV file
saved(data, "TT1.csv", var_names);
// Save data in an Excel file
saved(data, "TT1.xlsx", var_names);The last two variations require GAUSS version 19. If you have an older version of GAUSS, you can write the data to Excel with the xlsWrite function.