rmw_calculate_model_errors: Function to calculate observed-predicted error statistics.
In rmweather: Tools to Conduct Meteorological Normalisation and Counterfactual Modelling for Air Quality Data
View source: R/rmw_calculate_model_errors.R
rmw_calculate_model_errors R Documentation
Function to calculate observed-predicted error statistics.
Description
Function to calculate observed-predicted error statistics.
Usage
rmw_calculate_model_errors(
df,
value_model = "value_predict",
value_observed = "value",
as_long = FALSE
)
Arguments
df
Data frame with observed-predicted variables.
value_model
The modelled/predicted variable in "df".
value_observed
The observed variable in "df".
as_long
Should the returned tibble be in "long" format? This is useful
for plotting.
Value
Tibble.
Author(s)
Stuart K. Grange
rmweather documentation built on Nov. 21, 2023, 5:06 p.m.
R Package Documentation
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View source: R/rmw_calculate_model_errors.R
| rmw_calculate_model_errors | R Documentation |
Function to calculate observed-predicted error statistics.
Description
Function to calculate observed-predicted error statistics.
Usage
rmw_calculate_model_errors(
df,
value_model = "value_predict",
value_observed = "value",
as_long = FALSE
)
Arguments
df |
Data frame with observed-predicted variables. |
value_model |
The modelled/predicted variable in |
value_observed |
The observed variable in |
as_long |
Should the returned tibble be in "long" format? This is useful for plotting. |
Value
Tibble.
Author(s)
Stuart K. Grange
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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