sum_stat_1var: Caclulate summary stats of one variable
In tadhg-moore/gotmtools: Tools to work with GOTM input data and also process the output data
Description
Usage
Arguments
Value
View source: R/sum_stat_1var.R
Description
Calculate general summary statistics of one variable, modelled vs observed; Pearson's R, variance, covariance, bias, Nash-Sutcliffe Efficiency (NSE) and Root mean squared error (RMSE).
Usage
1
sum_stat_1var(mod, obs, na.rm = T)
Arguments
mod
vector; Modelled values
obs
vector; Observed values
na.rm
logical; Remove NA'values
Value
data frame of summary statistics
tadhg-moore/gotmtools documentation built on Oct. 9, 2019, 2:48 p.m.
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Description Usage Arguments Value
View source: R/sum_stat_1var.R
Description
Calculate general summary statistics of one variable, modelled vs observed; Pearson's R, variance, covariance, bias, Nash-Sutcliffe Efficiency (NSE) and Root mean squared error (RMSE).
Usage
1 | sum_stat_1var(mod, obs, na.rm = T)
|
Arguments
mod |
vector; Modelled values |
obs |
vector; Observed values |
na.rm |
logical; Remove NA'values |
Value
data frame of summary statistics
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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