s2dverification (version 2.4.0)

Eno: Computes Effective Sample Size With Classical Method

Description

Computes the effective number of independant data along the posdim dimension of a matrix. This effective number of independant date may be required to perform statistical/inference tests. Based on eno function from Caio Coelho from rclim.txt.

Usage

Eno(obs, posdim)

Value

Same dimensions as var but without the posdim dimension.

Examples

# See examples on Load() to understand the first lines in this example
  configfile <- paste0(tempdir(), '/sample.conf')
ConfigFileCreate(configfile, confirm = FALSE)
c <- ConfigFileOpen(configfile)
c <- ConfigEditDefinition(c, 'DEFAULT_GRID', 'r20x10', confirm = FALSE)
c <- ConfigEditDefinition(c, 'DEFAULT_VAR_MIN', '-1e19', confirm = FALSE)
c <- ConfigEditDefinition(c, 'DEFAULT_VAR_MAX', '1e19', confirm = FALSE)
c <- ConfigAddVar(c, '2d', 'tos')
data_path <- system.file('sample_data', package = 's2dverification')
exp_data_path <- paste0(data_path, '/model/$EXP_NAME$')
obs_data_path <- paste0(data_path, '/$OBS_NAME$')
c <- ConfigAddEntry(c, 'experiments', 'file-per-startdate',
     dataset_name = 'experiment', var_name = 'tos', main_path = exp_data_path,
     file_path = '$STORE_FREQ$_mean/$VAR_NAME$_3hourly/$VAR_NAME$_$START_DATE$.nc')
c <- ConfigAddEntry(c, 'observations', 'file-per-month',
     dataset_name = 'observation', var_name = 'tos', main_path = obs_data_path,
     file_path = '$STORE_FREQ$_mean/$VAR_NAME$/$VAR_NAME$_$YEAR$$MONTH$.nc')
ConfigFileSave(c, configfile, confirm = FALSE)

# Now we are ready to use Load().
startDates <- c('19851101', '19901101', '19951101', '20001101', '20051101')
sampleData <- Load('tos', c('experiment'), c('observation'), startDates, 
                   output = 'lonlat', latmin = 27, latmax = 48, lonmin = -12,
                   lonmax = 40, configfile = configfile)
  startDates <- c('19851101', '19901101', '19951101', '20001101', '20051101')
sampleData <- s2dverification:::.LoadSampleData('tos', c('experiment'), 
                                                c('observation'), startDates,
                                                output = 'lonlat', 
                                                latmin = 27, latmax = 48, 
                                                lonmin = -12, lonmax = 40)
sampleData$mod <- Season(sampleData$mod, 4, 11, 1, 12)
eno <- Eno(sampleData$mod[1, 1, , 1, , ], 1)
PlotEquiMap(eno, sampleData$lon, sampleData$lat)