unflatfile: Take a flatfile data.frame and make dht-compatible...
In DistanceDevelopment/readdst: Convert Distance for Windows projects to R analyses

Given distance sampling survey data in flatfile format, convert it to the four tables required by dht.

1	unflatfile(data)

list of the four data.frames described in "Details".

region.table data.frame with two columns: Region.Label, label for the region; Area, area of the region. region.table has one row for each stratum. If there is no stratification then region.table has one entry with Area corresponding to the total survey area.
sample.table data.frame mapping the regions to the samples (i.e. transects). There are three columns: Sample.Label, label for the sample; Region.Label, label for the region that the sample belongs to.; Effort, the effort expended in that sample (e.g. transect length).
obs.table data.frame mapping the individual observations (objects) to regions and samples. There should be three columns: object, the observation ID; Region.Label, label for the region that the sample belongs to; Sample.Label, label for the sample.
data a data.frame containing at least a column called distance. NOTE! If there is a column called size in the data then it will be interpreted as group/cluster size.