test_get_rows: Work with test results vs. actual conditions.

Description Usage Arguments Value

Description

Functions to retrieve true positives, true negatives, ...

Structure: Suppose you designed a test to predict if a person lied. Your tibble might look like this:

| | test_result | person_lied | comment | |—|————-|————-|——————-| | 1 | pos | yes | <- true positive | | 2 | pos | no | <- false positive | | 3 | neg | no | <- true negative | | 4 | pos | yes | ... | | 5 | neg | no | ... |

Your predicted condition (pred_cond) would be test_result and the targeted condition (pred_cond_targ) would be pos. The actual condition (act_cond) would be person_lied with targeted condition (act_cond_targ) yes.

Usage

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test_get_true_positives(data, pred_cond, act_cond, pred_cond_targ = TRUE,
  act_cond_targ = TRUE)

test_get_false_positives(data, pred_cond, act_cond,
  pred_cond_targ = TRUE, act_cond_targ = TRUE)

test_get_actual_positives(data, pred_cond, act_cond,
  pred_cond_targ = TRUE, act_cond_targ = TRUE)

test_get_predicted_positives(data, pred_cond, act_cond,
  pred_cond_targ = TRUE, act_cond_targ = TRUE)

test_get_true_negatives(data, pred_cond, act_cond, pred_cond_targ = TRUE,
  act_cond_targ = TRUE)

test_get_false_negatives(data, pred_cond, act_cond,
  pred_cond_targ = TRUE, act_cond_targ = TRUE)

test_get_actual_negatives(data, pred_cond, act_cond,
  pred_cond_targ = TRUE, act_cond_targ = TRUE)

test_get_predicted_negatives(data, pred_cond, act_cond,
  pred_cond_targ = TRUE, act_cond_targ = TRUE)

Arguments

data

A tibble holding the data

pred_cond

The column holding the predicted conditions / test results.

act_cond

The column holding the true conditions.

pred_cond_targ

The value that signifies the targeted predicted condition.

act_cond_targ

The value that signifies the targeted true condition.

Value

A tibble containing the true positives / negatives / ...


randomchars42/eenv documentation built on May 20, 2019, 1:29 p.m.