calculate_errors: Calculate error metrics

Description Usage Arguments Value Examples

Description

calculate_errors calculates error metrics so as to assess the performance of a model, e.g. linear regression.

Usage

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Arguments

x

Actual values.

y

Predicted values.

summary

Logical, indicating if the erorr metrics should be printed.

Value

A list containing the following components:

Examples

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# Example data
actual <- c(4, 6, 9, 10, 4, 6, 4, 7, 8, 7)
predicted <- c(5, 6, 8, 10, 4, 8, 4, 9, 8, 9)

calculate_errors(actual, predicted, summary = TRUE)

andreaskapou/mpgex documentation built on May 12, 2019, 3:33 a.m.