Once convert_project
has been run on a project, two types of object are created: first an object of class converted_distance_analyses
, which is just a list of converted_distance_analysis
objects.
converted_distance_analysis
contain all the information necessary to run a Distance for Windows model in R. Each object has the following elements:
call
string with the call to ddf
to build and run the model
aic.select
maximum number of terms to select by AIC if AIC term selection has been enabled (for key plus adjustment terms models only)
status
what the status of this model was in Distance for Windows (see "Status" below)
env
an environment
that contains data needed to run the model (data
containing entire dataset in flatfile form, obs.table
containing the observation table, sample.table
is the sample table, reg.table
is the region table and units
is a matrix describing conversion factor of distance measures (effort and detection distance) to areal measurements (for density))
filter
string used to subset the data to get the same filter as in Distance for Windows
group_size
describes how size bias adjustment is conducted, and the level of hierarchy at which E(s) is computed
detection_by
level of design hierarchy at which detection function is computed (e.g. pooled across strata)
gof_intervals
if binning is done for GOF testing, cutpoints are provided here
estimation
what sort of weighted average is used to compute region-level density estimate
name
the name for this analysis, as used in Distance for Windows
ID
the ID number for this analysis, as used in Distance for Windows
The status
code is taken from Distance for Windows to indicate whether the analysis has been run yet and what the outcome was. Status codes are as follows:
0
analyses has not been run in Distance for Windows yet
1
analysis ran without errors or warnings
2
analysis ran with warnings
3
analysis ran with errors
Note that an analysis that runs with error in Distance for Windows may run fine in R and an analysis that runs fine in Distance for Windows may not work in R. In the latter case, please consider submitting this a a bug to github.com/distancedevelopment/distance-bugs.
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