calc_probabilities: Soil class probabilities

In obrl-soil/dsmartr: dsmartr: An R implementation of the DSMART algorithm

Soil class probabilities

Description

Converts the number of times a soil class was predicted to a probability by normalising against the total number of model runs.

Usage

calc_probabilities(input = NULL, n_iterations = NULL)

Arguments

input	A vector of integers n soil classes long, where the integers refer to counts of soil classes.
n_iterations	Integer; the total number of model runs.

Value

An atomic vector of probabilities, or a vector of NA values of the same length. e.g. for 20 model runs, 0 5 8 0 becomes 0 0.25 0.4 0.

Note

This is a helper function and not widely applicable. It is expected to be used in concert with calc, applied to a stack of tabulated class counts produced by collate.

Examples

## Not run: 
# 100 model runs, from a cell in the middle of the heronvale demo dataset
cell_19291 <- c(29, 7, 7, 7, 12, 9, 29, 29, 29, 3, 16, 15, 9, 21, 24, 2, 9,
15, 34, 9, 24, 34, 24, 34, 21, 24, 15, 15, 9, 21, 21, 7, 7, 34, 34, 15, 15,
21, 7, 30, 32, 21, 29, 21, 24, 29, 31, 12, 24, 12, 21, 15, 15, 29, 12, 7, 21,
12, 7, 34, 9, 32, 7, 7, 32, 32, 12, 34, 29, 7, 3, 15, 15, 29, 7, 3, 34, 9, 9,
33, 32, 21, 34, 29, 33, 7, 7, 31, 7, 7, 24, 21, 15, 7, 24, 29, 21, 31, 29,
15, 7)
preds_19291 <- count_predictions(cell_19291)
probs_19291 <- calc_probabilities(preds_19291)

## End(Not run)

obrl-soil/dsmartr documentation built on Feb. 1, 2024, 10:57 p.m.