Statistical summaries of the homogenized data
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)
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 sub-annual 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 sub-period. ( |
lsnh |
Logical value to compute statistics from series built from
the homogeneous sub-period with lowest SNHT. ( |
lerr |
Logical value to compute statistics only for series built from
the homogeneous sub-period 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_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.)
This function does not return any value, since outputs are saved to files.
#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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.