Description Usage Arguments Details Value See Also Examples
expect_resp
runs a shiny app in which the expectation of the IND response to
a pressure (sub-criterion 10.1) can be manually changed to 'yes' or 'no' based on
visual inspection of the IND response curve.
1 | expect_resp(mod_tbl, scores_tbl, crit_scores = INDperform::crit_scores_tmpl)
|
mod_tbl |
Output tibble from the IND~pressure modeling functions. |
scores_tbl |
The output tibble from the |
crit_scores |
The(un)modified criterion-scoring template |
The sub-criterion 10.1 (i.e. the IND response to a pressure, which has been found significant,
is in line with expectations based on ecological knowledge) has been set
to a default score of 1 (no expectation / unclear as response is highly non-linear)
in the scoring
function. Determining whether the IND response modeled in
the GAM/GAMM meets specific expectations can only be done
based on visual model inspections. expect_resp
provides only a very simple
graphical representation of this smoothing function.
For a more comprehensive figure use the plot_model
function and then go back to this function for modifications
of the expectation scores.
The function returns the input scoring tibble, but with modified scores
in the variable C10_1
, once the "Press Me!" button is activated.
plot_model
for visualization of the IND responses to pressures
Other score-based IND performance functions:
clust_sc()
,
dist_sc_group()
,
dist_sc()
,
plot_clust_sc()
,
plot_spiechart()
,
scoring()
,
summary_sc()
1 2 3 4 5 6 7 8 9 10 11 | ## Not run:
# Using the Baltic Sea demo data:
# Apply first the scoring on the model outputs
scores_tbl <- scoring(trend_tbl = model_trend_ex, mod_tbl = all_results_ex,
press_type = press_type_ex)
# Then run the expect_resp() shiny function to correct one criterion
scores_tbl <- expect_resp(all_results_ex, scores_tbl)
# Check if it worked:
expect_resp(all_results_ex, scores_tbl)
## End(Not run)
|
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