compute_far_simple.default: function to compute the FAR

In thaos/FARallnat: FAR analysis on European Summer Temperature

Description

compute_far_simple.default Function to compute the FAR from annual time-series

Usage

compute_far_simple.default(mdata, y = "y", x = "x", time = "time",
  xp = 1.6, R = 3, stat_model = gauss_fit, ci_p = 0.9, ...)

Arguments

mdata,	a data.frame containing the variables whose names are given by x, y and time
y,	the name of variable that will be used as the variable of interest y
x,	the name of variable that will be used as the covariate x
time,	the name of variable that will be used as the as the time variable
xp,	the threshold used to define the FAR
R,	the number of bootstrap samples
stat_model	the statistical model to explain y in function of x, either gauss_fit, gev_fit, or gpd_fit from the FARg package
ci_p	the level of the confidence intervals
...	additional arguments if required by the stat_model function

Examples

library(FARg)
model <- "cnrm"
#load data from the package
data(list=model)
# formating data, e.g passing from temperature to anomalie, keep only hist
# and rcp runs
mdata <- format_data(get(model))
if(model != "obs") mdata <- select_continuous_run(mdata)
ans <- compute_far_simple.default(mdata,
 y="eur_tas", x="gbl_tas", time="year",
  xp=1.6, stat_model=gauss_fit, ci_p=0.9)

thaos/FARallnat documentation built on May 25, 2019, 8:18 a.m.