read.results: read.results

Description

Import WASIM simulation results
Usage

read.results(record, path = "wasim/output", 
                 ts.length, subcatchments, data.types.prefix =
                 data.types$prefix, data.types.has_stat =
                 data.types$has_stat, ending, endings = rep(ending,
                 NROW(data.types.prefix)), na.values = c("999",
                 "999.00"), read.files.nr = 1:nrow(data.types),
                 remove.missing = FALSE)
date_vect=read.dates(file=NULL,na.strings=c("999", "999.00","-9999.00"),sep="")
read.observations(filelist, path = "wasim/input", gauge_names = NULL,
                 date_modelled = NULL, na.strings = c("999", "999.00",
                 "9999", "9999.00", "9999.000000", "-9999", "-9999.0",
                 "-9999.00"), sep = "")
file{ WASIM output file the date information is read from. If not specified, the function tries to open the first available file from the globaldata.types$filename.}
  record{ subdirectory/ string to be appended to path (eg. for multiple runs, etc.)}
  path{ path the output files reside in (no ending slash) }
  ts.length{ number of records to be read }
  subcatchments{ number of subcatchments (columns) in WASIM-output file (without statistic column) }
  data.types.prefix{ prefixes for filenames (better use default) }
  data.types.has_stat{ indicator whether files contain an extra column for summary statistics}
  ending{ suffix for filenames }
  endings{ suffixes for filenames. Use this if endings differ for various files.  }
  read.files.nr{numeric vector indicating which entries from data.types.prefix to process}
  na.values{ list of strings for indicating nodata values in the WASIM-files }
  na.strings{ Strings in input file to be interpreted as nodata (NA)}
  sep{ field separator in input file}
  remove.missing{ boolean indication whether to remove an entry
  from the default data.types if a file was not found}
	filelist{list of input files to be considered}
	gauge_names{names of gauges that should be read (NULL:read all)}
	date_modelled{timespan that will be extracted}
read.results causes error messages
   "...line n hasn't m elements..."{The global variable data.types$has_stat specifies an statistics column in one of the output files where there is none.}
   "...has length  14 expecting length 15 - filling ..."{ The global variable data.types$has_stat specifies no statistics column in one of the output files where there seems to be one.}
date_vec{vector of POSIX-dates}
~put references to the literature/web site here ~
[object Object],[object Object]
p.storage
d.datum <- read.dates(file= system.file("weisseritz/qgesww100.txt", package="wasim"))  # Datumsreihe heisst jetzt d.datum
str(d.datum)
d.wasim.out <- read.results("", system.file("weisseritz", package="wasim"),ts.length=21937,subcatchments=2, ending="ww100.txt")    # Datensatz heisst jetzt d.wasim.out 
str(d.wasim.out)
utilities
Description

Usage

Arguments
