stats: Calculate evaluation statistics from 2 vectors

In Schuch666/hackWRF: Functions to Work with WRF, NetCDF and Model Evaluation

Calculate evaluation statistics from 2 vectors

Description

Calculate statistical indexes

Usage

stats(
  mo,
  ob,
  spinup = 0,
  wd = FALSE,
  Mughal = FALSE,
  scatter = F,
  add = F,
  cor = "#FF000088",
  lim = NA,
  cutoff = NA,
  cutoff_NME = NA,
  nobs = 8,
  verbose = T,
  ...
)

Arguments

mo	model
ob	observed data
spinup	number of model points excluded to the statistic
wd	logical, true for wind direction, see notes
Mughal	logical, to use Mughal et al. (2017) for MB and ME for wind direction
scatter	set TRUE to plot a scatter plot
add	set TRUE to add the points to a scatter plot
cor	color of scatterplot dots
lim	scatter plot limits
cutoff	(optionally the maximum) valid value for observation
cutoff_NME	(optionally the maximum) valid value for observation for NME
nobs	minimum number of observations
verbose	display additional information
...	extra arguments passed to scatter plot

Note

MB and ME are calculated using Mughal et al. (2017) for wind direction

Examples

model <- 1:100
data  <- model + rnorm(100,0.2)
stats(mo = model, ob = data, scatter = TRUE)

Schuch666/hackWRF documentation built on June 9, 2025, 1:46 p.m.