Difference between revisions of "Input files"
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=== Data file === | === Data file === | ||
{{lmt}} accepts only single file containing the actual data. A data file in ".csv" format must follow the following formatting rules: | {{lmt}} accepts only a single file containing the actual data. A data file in ".csv" format must follow the following formatting rules: | ||
*file must have at least one commented line where the last commented line must containing the column names separated by comma, | *file must have at least one commented line where the last commented line must containing the column names separated by comma, | ||
*the column names | *the column names |
Revision as of 09:35, 28 December 2020
File content determination via file name extensions
lmt automatically detects the format of input files by the filename extension. Supported extensions are
- ".csv" for ordinary comma separated values ascii text files
- ".blkcsv" for comma separated value ascii text files in block format
- ".bin" for binary files in block format
".csv" files
".csv" files may contain several commented lines at the top only where the comment character is "#".
The type of the file content is determined by its prospective use, that is
- the data file is supposed to contain only real/float numbers which are transferred to integer if required,
- a file containing an ordinary pedigree is supposed to contain only integer numbers,
- a file containing a missing value indicator matrix is supposed to contain only character strings.
Data file
lmt accepts only a single file containing the actual data. A data file in ".csv" format must follow the following formatting rules:
- file must have at least one commented line where the last commented line must containing the column names separated by comma,
- the column names
- must be alpha-numeric only
- must not be quoted
- must be unique
- below the header the data file must contain only numeric values where the decimal separator is a dot(".").
An example for a data file with three columns is shown below.
#y,mu,id 25.0,1,5 33.1,1,6 36.0,1,7 28.3,1,8
Co-variance matrices must be supplied as full squared symmetric matrices.