compute_confustats: Compute confusion statistics
In NaiaraLopezRojo/globalIRmap: What the Package Does (One Line, Title Case)

Description Usage Arguments Details Value

Compute standard set of statistics from a confusion matrix based on classification results (including misclassification rate, sensitivity, specificity, precision, number of perennial and non-perennial stations correctly and incorrectly classified, total number of stations, and the predicted prevalence of flow intermittence compared to the observed prevalence).

1	compute_confustats(in_gselpreds, ndigits = 2)

`in_gselpreds`	data.table with a row for each record and two columns, 'truth' and 'response'.
`ndigits`	number of decimals to include in misclassification, sensitivity, specificity, and precision metrics.

Formatted statistics for Extended Data Table 2 in Messager et al. (2021).

vector of statistics

NaiaraLopezRojo/globalIRmap documentation built on Dec. 17, 2021, 5:19 a.m.