| RMAWGEN-package |
R - Multi-site Autoregressive WEather Generator |
| acvWGEN |
Plots the auto- and cross- covariance functions between measured and simulated data for several stations |
| adddate |
Inserts three columns (year,month,day) passing dates to a matrix or to a dataframe |
| addsuffixes |
Adds suffixes for daily maximum and minimum temperature to the names of a column data frame |
| arch_test |
'arch.test' function for 'varest2' object |
| collinear_dataset |
Collinear Dataset |
| ComprehensivePrecipitationGenerator |
The comprehensive Precipitation Generator |
| ComprehensiveTemperatureGenerator |
The Comprehensive Temperature Generator |
| continuity_ratio |
Calculates the continuity ratio of a set of precipitation measured or generated data in several sites as defined by Wilks, 1998 (see reference link) |
| countNAs |
counts NAs in each row of 'data' |
| covariance |
Calculates the covariance matrix of the normally standardized variables obtained from the columns of 'x' |
| ELEVATION |
Trentino Dataset |
| ElevationOf |
Extracts the elevation of a meteorological station expressed in meters above a reference (sea level) |
| extractdays |
Extracts the rows of a matrix corresponding to the requested days (expressed as dates YYYY-MM-DD) given the date (origin) of the first row |
| extractmonths |
Extracts the rows of a matrix corresponding to requested months of a year given the date (origin) of the first row |
| extractTnFromAnomalies |
Extracts generated time series of Daily Minimum Temperature from a random multi-realization obtained by 'generateTemperatureTimeseries' function |
| extractTxFromAnomalies |
Extracts generated time series of Daily Maximum Temperature from a random multi-realization obtained by 'generateTemperatureTimeseries' function |
| extractyears |
Extracts the elements of a data frame corresponding to a period between 'year_min' and 'year_max' for the stations listed in 'station' |
| findDate |
Finds the date corresponding a row index of a matrix given the date (origin) of the first row |
| forecastEV |
Forecasts the expected value of a VAR realization given the prievious one |
| forecastResidual |
Forecasts the residual value of a VAR realization given the white noise covariance matrix |
| generateTemperatureTimeseries |
Returns time series of Daily Maximum and Minimum with a random multi-realization obtained by using 'newVARmultieventRealization'. This function is called by 'ComprehensiveTemperatureGenerator'. |
| getDailyMean |
Calculates the daily means of a range of days around each date of a data frame corresponding to a period between 'year_min' and 'year_max' for stations listed in 'station' |
| getMonthlyMean |
Calculates the monthly means of a data frame corresponding to a period between 'year_min' and 'year_max' for stations listed in 'station' |
| getVARmodel |
Either creates a VAR model or chooses a VAR model by using VAR or VARselect commands of 'vars' package |
| GPCA |
This function makes a Gaussianization procedure based on PCA iteration ( see 'GPCA_iteration') |
| GPCA-class |
GPCA-class |
| GPCAiteration |
GPCAiteration-class |
| GPCAiteration-class |
GPCAiteration-class |
| GPCAvarest2 |
GPCAvarest2-class |
| GPCAvarest2-class |
GPCAvarest2-class |
| GPCA_iteration |
This function makes an iteration of PCA-Gaussianization process |
| inv_GPCA |
This function makes an inverse Gaussianization procedure besad on PCA iteration ( see 'inv_GPCA_iteration' |
| inv_GPCA_iteration |
This function makes an inverse iteration of PCA-Gaussianization process |
| is.monthly.climate |
Verifies if 'climate' represents the monthly climatology in one year, i.e 'climate' is monthly.climate type matrix whose rows represent months and each column represents a station. It is also used in 'setComprehensiveTemperatureGeneratorParameters'. |
| LOCATION |
Trentino Dataset |
| months_f |
months REPLACEMANT |
| NewVAReventRealization |
Generates a new realization of a VAR model |
| newVARmultieventRealization |
Generates several realizations of a VAR model |
| normality_test |
'normality.test' method for 'varest2' object |
| normalizeGaussian |
Converts a random variable 'x' extracted by a population represented by the sample 'data' or 'sample' to a normally-distributed variable with assigned mean and standard deviation or vice versa in case 'inverse' is 'TRUE' |
| normalizeGaussian_prec |
Converts precipitation values to "Gaussinized" normally-distributed values taking into account the probability of no precipitation occurrences. values or vice versa in case 'inverse' is 'TRUE' |
| normalizeGaussian_severalstations |
Converts several samples 'x' random variable extracted by populations represented by the columns of 'data' respectively or 'sample' to a normally-distributed samples with assinged mean and standard deviation or vice versa in case 'inverse' is 'TRUE' |
| normalizeGaussian_severalstations_prec |
DEPRECATED Converts several samples 'x' random variable (daily precipitation values) extracted by populations represented by the columns of 'data' respectively or 'sample' to a normally-distributed samples with assinged mean and standard deviation or vice versa in case 'inverse' is 'TRUE' using the function 'normalizeGaussian_prec' |
| plotDailyClimate |
Plots daily climatology through one year |
| plot_sample |
It makes a plot by sampling (e.g. monthly) the variables 'x' and 'y' |
| PRECIPITATION |
Trentino Dataset |
| PrecipitationEndDay |
Gets the last day in a precipitation time series, expressed in decimal julian days since 1970-1-1 00:00 UTC |
| PrecipitationStartDay |
Gets the first day in a precipitation time series, expressed in decimal julian days since 1970-1-1 00:00 UTC |
| PRECIPITATION_MEASUREMENT_END_DAY |
Trentino Dataset |
| PRECIPITATION_MEASUREMENT_START_DAY |
Trentino Dataset |
| print |
'print' S3 method for 'GPCA' or 'GPCA_iteration' object |
| print.GPCA |
'print' S3 method for 'GPCA' or 'GPCA_iteration' object |
| print.GPCAiteration |
'print' S3 method for 'GPCA' or 'GPCA_iteration' object |
| qqplot.lagged |
This function creates a Q-Q plot of the 'lag'-lag moving cumulative addition of the values in the samples 'x,y,z' |
| qqplotprecWGEN |
Makes a qqplot of measured and simulated data for several stations. |
| qqplotprecWGEN_seasonal |
Makes four seasonal qqplots (winter, spring, summer and autumn) of measured and simulated data for several stations. |
| qqplotTnTxWGEN |
Makes a qqplot of measured and simulated data for several stations. |
| qqplotTnTxWGEN_seasonal |
Makes four seasonal qqplots (winter, spring, summer and autumn) of measured and simulated data for several stations. |
| qqplotWGEN |
Makes a qqplot and Wilcoxon test between the two columns of 'val' |
| qqplot_RMAWGEN_deltaT |
It makes the Q-Q plots observed vs generated time series of daily maximum, minimum temperature and daily thermal range for a list of collected stochastic generations |
| qqplot_RMAWGEN_prec |
It makes the Q-Q plots observed vs generated time series of daily maximum, minimum temperature and daily thermal range for a list of collected stochastic generations |
| qqplot_RMAWGEN_Tn |
It makes the Q-Q plots observed vs generated time series of daily maximum, minimum temperature and daily thermal range for a list of collected stochastic generations |
| qqplot_RMAWGEN_Tx |
It makes the Q-Q plots observed vs generated time series of daily maximum, minimum temperature and daily thermal range for a list of collected stochastic generations |
| removeNAs |
Replaces each entry of the rows containing NA values with NA |
| rescaling_monthly |
This function adjusts the monthly mean to a daily weather dataset (e. g. spline-interpolated temperature) |
| residuals |
'residuals' S3 method for 'varest2' object |
| residuals.varest2 |
'residuals' S3 method for 'varest2' object |
| RMAWGEN |
R - Multi-site Autoregressive WEather Generator |
| serial_test |
'serial.test' function for 'varest2' object |
| setComprehensiveTemperatureGeneratorParameters |
Computes climatic and correlation information useful for creating an auto-regeressive random generation of maximum and minimun daily temparature. This function is called by 'ComprehensiveTemperatureGenerator'. |
| splineInterpolateMonthlytoDaily |
Interpolates monthly data to daily data using 'spline' and preserving monthly mean values |
| splineInterpolateMonthlytoDailyforSeveralYears |
Interpolates monthly data to daily data using 'splineInterpolateMonthlytoDaily' for several years |
| STATION_LATLON |
Trentino Dataset |
| STATION_NAMES |
Trentino Dataset |
| TemperatureEndDay |
Gets the last day in a temperature time series, expressed as decimal julian days since 1970-1-1 00:00 UTC |
| TemperatureStartDay |
Gets the first day in a temperature time series, expressed as decimal julian days since 1970-1-1 00:00 UTC |
| TEMPERATURE_MAX |
Trentino Dataset |
| TEMPERATURE_MEASUREMENT_END_DAY |
Trentino Dataset |
| TEMPERATURE_MEASUREMENT_START_DAY |
Trentino Dataset |
| TEMPERATURE_MIN |
Trentino Dataset |
| trentino |
Trentino Dataset |
| varest |
varest-class |
| varest-class |
varest-class |
| varest2 |
varest2-class |
| varest2-class |
varest2-class |
| VAR_mod |
Modified version of 'VAR' function allowing to describe white-noise as VAR-(0) model (i. e. 'varest' objects) |
| WhereIs |
Gets the toponym where a meteorological station is located |
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