IntroductionNitroproc is a tool for data processing locally (using your PC), which can either be called as a standalone program, or through batch via Python/R/C++/etc. It is not bounded by the amount of RAM available, so it has no limits in terms variables, or observations. Check the getting started section to get familiar with the script structure, and the outputs you should expect.
All nitroproc functions require parameters. They are passed using
< parameter_name= > Some of these parameters are optional (such as the column headers)
Formats - variable types
Every function in nitroproc requires a
coltypes argument. It specifies the type expected for each column. Missing values are replaced for
internal calculations, numbers are replaced by -1,000,000,000 and dates for 02-Jan-1970. The implication is that if, you sort by a column which contains
missing values, those missing values will appear as the first values.
The available formats/types for dates are:
The available formats/types numbers are :
The only available type for string is :
Dates cannot be before the 02-Jan-1970, unless you treat them as strings
lines that start with # are not evaluated by the parser
empty lines are not evaluated by the parser