Lists means, standard deviations, quantiles or trends, for a
specified period, from series homogenized by homogen.
dahstat(varcli, anyi, anyf, anyip=anyi, anyfp=anyf, stat="me", ndc=NA, vala=2,
cod=NULL, mnpd=0, mxsh=0, prob=.5, last=FALSE, long=FALSE, lsnh=FALSE,
lerr=FALSE, relref=FALSE, mh=FALSE, pernys=100, estcol=c(1,2,4), sep=',',
dec='.', eol='\n', nei=NA, x=NA)This function does not return any value, since outputs are saved to files.
Acronym of the name of the studied climatic variable, as in the data file name.
Initial year of the homogenized period.
Final year of the homogenized period.
First year of the period to analyze. (Defaults to anyi).
Last year of the period to analyze. (Defaults to anyf).
Statistical parameter to compute for the selected period:
Means (default),
Medians,
Maxima,
Minima,
Standard deviations,
Quantiles (see the prob parameter),
Trends,
Do not compute any statistics; only output all homogenized series in individual *.csv files.
Number of decimal places to be saved in the output file (1 by default).
Annual values to compute from the sub-annual data:
None,
Sums,
Means (default),
Maxima,
Minima.
Optional vector of codes of the stations to be processed.
Minimum percentage of original data. (0 = no limit).
Maximum SNHT. (0 = no limit).
Probability for the computation of quantiles (0.5 by default, i.e., medians). You can set probabilities with more than 2 decimals, but the name of the output file will be identified with the rounded percentile.
Logical value to compute statistics only for stations
working at the end of the period of study. (FALSE by default).
Logical value to compute statistics only for series built from
the longest homogeneous sub-period. (FALSE by default).
Logical value to compute statistics from series built from
the homogeneous sub-period with lowest SNHT. (FALSE by default).
Logical value to compute statistics only for series built from
the homogeneous sub-period with lowest RMSE. (FALSE by default).
If TRUE, statistics from reliable reference series will be also listed. (FALSE by default).
If TRUE, read monthly data computed from daily adjusted series. (FALSE by default).
Number of years on which to compute trends. (Defaults to 100).
Columns of the homogenized stations file to be included in the output file. (Defaults to c(1,2,4), the columns of station coordinates and codes).
String to use for separating the output data. (',').
Character to use as decimal point in the output data. ('.').
Line termination style. ('\n').
Number of stations in the input files. (To be read from the *.rda file.)
Vector of dates. (To be read from the *.rda file.)
Homogenized data are read from the file VAR_ANYI-ANYF.rda
saved by homogen, while this function saves the
computed data for the specified period in VAR_ANYIP-ANYFP.STAT,
where STAT is substituted by the stat requested
statistic. An exception is when stat="q", since then the
extension of the output file will be qPP, where PP
stands for the specified prob probability (in percent).
The output period ANYIP-ANYFP must of course be comprised
within the period of the input data, ANYI-ANYF.
Parameters mnpd and mxsh act as filters
to produce results only for series that have those minimum percentages
of original data and maximum SNHT values. Alternatively, long,
last, lsnh and lerr allow the selection of series reconstructed from the preferred homogeneous sub-period, depending on the parameter set to TRUE. However, note that in many cases the shorter sub-periods may have lower SNHT and RMSE values, and therefore parameters lsnh and lerr should be used with caution. The most advisable paramenters to select most suitable reconstructions are long for computing normal values and last for climate monitoring of new incoming data.
to select only those stations working at the end of the period studied. No selection is performed by default, listing the desired statistic for all the reconstructed series (from every homogeneous sub-period).
stat='tnd' computes trends by OLS linear regression on time, listing
them in a CSV file *_tnd.csv and their p-values in *_pval.csv
If stat='series' is chosen, two text files in CSV format will be
produced for every station, one with the data and another with their flags: 0
for original, 1 for infilled and 2 for corrected data. (Not useful for daily series.)
homogen, dahgrid.
#Set a temporal working directory and write input files:
wd <- tempdir()
wd0 <- setwd(wd)
data(Ptest)
dim(dat) <- c(720,20)
dat[601:720,5] <- dat[601:720,5]*1.8
write(dat[481:720,1:5],'pcp_1991-2010.dat')
write.table(est.c[1:5,1:5],'pcp_1991-2010.est',row.names=FALSE,col.names=FALSE)
homogen('pcp',1991,2010,std=2)
#Now run the examples:
dahstat('pcp',1991,2010)
dahstat('pcp',1991,2010,stat='tnd')
#Return to user's working directory:
setwd(wd0)
#Input and output files can be found in directory:
print(wd)
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