get_resids: Calculate residuals, variance, errors and correlation of the...
In PiotrTymoszuk/caretExtra: Extra functionality for predictions and quality control of caret models
View source: R/utils_analysis.R
get_resids R Documentation
Calculate residuals, variance, errors and correlation of the outcome and fit.
Description
Calculates working residuals (get_resids()),
variance of the outcome (get_var()),
fir errors based on MSE and outcome variance
(get_errors(): MAE, MSE, RMSE and pseudo-R-squared),
and correlation between the outcome and fitted values
(get_correlations(): Pearson, Spearman and Kendal TauB).
Usage
get_resids(data)
get_var(data)
get_errors(data)
get_correlations(data, ci = TRUE)
Arguments
data
a data frame with .outcome and .fitted columns.
ci
logical, should 95% confidence intervals be calculated?
Value
a numeric vector of residuals or a tibble with statistic values.
PiotrTymoszuk/caretExtra documentation built on Oct. 15, 2023, 10:03 p.m.
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View source: R/utils_analysis.R
| get_resids | R Documentation |
Calculate residuals, variance, errors and correlation of the outcome and fit.
Description
Calculates working residuals (get_resids()),
variance of the outcome (get_var()),
fir errors based on MSE and outcome variance
(get_errors(): MAE, MSE, RMSE and pseudo-R-squared),
and correlation between the outcome and fitted values
(get_correlations(): Pearson, Spearman and Kendal TauB).
Usage
get_resids(data)
get_var(data)
get_errors(data)
get_correlations(data, ci = TRUE)
Arguments
data |
a data frame with .outcome and .fitted columns. |
ci |
logical, should 95% confidence intervals be calculated? |
Value
a numeric vector of residuals or a tibble with statistic values.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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