Data for a particular method may be contained in one large file or in several files, depending on the method's requirements. For several files, consistent labeling is required to merge the information between files. In some cases, labels can be optional. There are two types of text files you can import into ClusterSeer: text files with a header and text files without a header.
For either type of file, each row in the data file should contain one unit of study. This study unit may be individual data, count data, or frequency data. Data associated with that study unit must be in the same row of the text file, delimited by tabs or spaces. Study units (rows) are separated by a carriage return.
If the data file has more columns than the method requires, additional columns will be ignored. The relevant columns need to be the first ones, as you currently cannot choose which columns of a text file to import into ClusterSeer. If the data file has fewer columns than the method requires, ClusterSeer will report a data import error. The label field, however, is optional. Instead of submitting a label, ClusterSeer can accept the row number as the label.