It calculates the number of wet days for each month and each year

Description

It calculates the number of wet days for each month and each year

Usage

nwetdays(data, valmin = 0.5, origin = "1961-1-1", station = names(data))

Arguments

Value

Function returns a list of data frames containing the spell length expressed in days

Examples

data(trentino)

year_min <- 1961
year_max <- 1990

period <- PRECIPITATION$year>=year_min & PRECIPITATION$year<=year_max
station <- names(PRECIPITATION)[!(names(PRECIPITATION) %in% c("day","month","year"))]
prec_mes <- PRECIPITATION[period,station]

## removing nonworking stations (e.g. time series with NA)
accepted <- array(TRUE,length(names(prec_mes)))
names(accepted) <- names(prec_mes)
for (it in names(prec_mes)) {
		 accepted[it]  <- (length(which(!is.na(prec_mes[,it])))==length(prec_mes[,it]))
}

prec_mes <- prec_mes[,accepted]
## the dateset is reduced!!!
prec_mes <- prec_mes[,1:3]

origin <- paste(year_min,1,1,sep="-")

nwetdays <- nwetdays(prec_mes,origin)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> library(RGENERATEPREC)
Loading required package: copula
Loading required package: RGENERATE
Loading required package: RMAWGEN
Loading required package: chron
Loading required package: date
Loading required package: vars
Loading required package: MASS
Loading required package: strucchange
Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

    as.Date, as.Date.numeric

Loading required package: sandwich
Loading required package: urca
Loading required package: lmtest

Attaching package: 'vars'

The following object is masked from 'package:copula':

    A

Loading required package: blockmatrix
Loading required package: Matrix
Loading required package: stringr

Attaching package: 'stringr'

The following object is masked from 'package:strucchange':

    boundary

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/RGENERATEPREC/nwetdays.Rd_%03d_medium.png", width=480, height=480)
> ### Name: nwetdays
> ### Title: It calculates the number of wet days for each month and each
> ###   year
> ### Aliases: nwetdays
> 
> ### ** Examples
> 
> data(trentino)
> 
> year_min <- 1961
> year_max <- 1990
> 
> period <- PRECIPITATION$year>=year_min & PRECIPITATION$year<=year_max
> station <- names(PRECIPITATION)[!(names(PRECIPITATION) %in% c("day","month","year"))]
> prec_mes <- PRECIPITATION[period,station]
> 
> ## removing nonworking stations (e.g. time series with NA)
> accepted <- array(TRUE,length(names(prec_mes)))
> names(accepted) <- names(prec_mes)
> for (it in names(prec_mes)) {
+ 		 accepted[it]  <- (length(which(!is.na(prec_mes[,it])))==length(prec_mes[,it]))
+ }
> 
> prec_mes <- prec_mes[,accepted]
> ## the dateset is reduced!!!
> prec_mes <- prec_mes[,1:3]
> 
> origin <- paste(year_min,1,1,sep="-")
> 
> nwetdays <- nwetdays(prec_mes,origin)
 chr [1:3] "T0001" "T0014" "T0021"
'data.frame':	360 obs. of  5 variables:
 $ month: num  0 0 0 0 0 0 0 0 0 0 ...
 $ year : num  0 0 0 0 0 0 0 0 0 0 ...
 $ T0001: num  0 0 0 0 0 0 0 0 0 0 ...
 $ T0014: num  0 0 0 0 0 0 0 0 0 0 ...
 $ T0021: num  0 0 0 0 0 0 0 0 0 0 ...
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>