Description Usage Arguments Details Value See Also Examples
Lists means, standard deviations, quantiles or trends, for a
specified period, from series homogenized by homogen
.
1 2 3 4 
varcli 
Acronym of the name of the studied climatic variable, as in the data file name. 
anyi 
Initial year of the homogenized period. 
anyf 
Final year of the homogenized period. 
anyip 
First year of the period to analyze. (Defaults to 
anyfp 
Last year of the period to analyze. (Defaults to 
stat 
Statistical parameter to compute for the selected period:

ndc 
Number of decimal places to be saved in the output file (1 by default). 
vala 
Annual values to compute from the subannual data:

cod 
Optional vector of codes of the stations to be processed. 
mnpd 
Minimum percentage of original data. (0 = no limit). 
mxsh 
Maximum SNHT. (0 = no limit). 
prob 
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. 
last 
Logical value to compute statistics only for stations
working at the end of the period of study. ( 
long 
Logical value to compute statistics only for series built from
the longest homogeneous subperiod. ( 
lsnh 
Logical value to compute statistics from series built from
the homogeneous subperiod with lowest SNHT. ( 
lerr 
Logical value to compute statistics only for series built from
the homogeneous subperiod with lowest RMSE. ( 
relref 
If 
mh 
If 
pernys 
Number of years on which to compute trends. (Defaults to 100). 
estcol 
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). 
sep 
String to use for separating the output data. (','). 
dec 
Character to use as decimal point in the output data. ('.'). 
eol 
Line termination style. ('\n'). 
nei 
Number of stations in the input files. (To be read from the *.rda file.) 
x 
Vector of dates. (To be read from the *.rda file.) 
Homogenized data are read from the file ‘VAR_ANYIANYF.rda’
saved by homogen
, while this function saves the
computed data for the specified period in ‘VAR_ANYIPANYFP.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 ANYIPANYFP
must of course be comprised
within the period of the input data, ANYIANYF
.
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 subperiod, depending on the parameter set to TRUE
. However, note that in many cases the shorter subperiods 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 subperiod).
stat='tnd'
computes trends by OLS linear regression on time, listing
them in a CSV file ‘*_tnd.csv’ and their pvalues 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.)
This function does not return any value, since outputs are saved to files.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16  #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_19912010.dat')
write.table(est.c[1:5,1:5],'pcp_19912010.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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