datrestore {climatol}

Rename homogen's output files

Description

This function restores some deleted outliers into the dah matrix of the *.rda output file.

Usage

datrestore(varcli, anyi, anyf, QCout=FALSE)

Arguments

varcli

Short name of the studied climatic variable, as in the data file name.

anyi

Initial year of the study period.

anyf

Final year of the study period.

QCout

Set this parameter to TRUE to read the selected outliers to be restored from the *-QC*_out.csv output by a previous run of homogen(..., onlyQC=TRUE).

Details

When the user checks the list of outliers in the output file *_out.csv, true extreme values (or sequences of identical values) that have been deleted can be restored by changing their deleted field to negative. This accepted values will be restored in the dah matrix of homogenized series contained in the *.rda file output by the homogen function, but only in the series reconstructed from the last homogeneous subperiod.

See Also

homogen

Examples

## Set a temporal working directory, write input files and homogenize them:
wd <- tempdir()
wd0 <- setwd(wd)
data(climatol_data)
write.table(Temp.est,'Temp_1961-2005.est',row.names=FALSE,col.names=FALSE)
write(Temp.dat,'Temp_1961-2005.dat')
homogen('Temp',1961,2005) #obtain homogenization output files
out <- read.csv('Temp_1961-2005_out.csv') #read list of outliers
## Change the sign of a couple of deleted values to be restored:
out[2,6] <- -1; out[6,6] <- -9
write.csv(out,'Temp_1961-2005_out.csv',row.names=FALSE)

## Now run the example:
datrestore('Temp',1961,2005) #restore the selected values

## Return to user's working directory:
setwd(wd0)

## Input and output files can be found in directory:
print(wd)