HypeDataImport: Read HYPE data files

In HYPEtools: Tools for Processing and Analyzing Files from the Hydrological Catchment Model HYPE

Read HYPE data files

Description

These are simple convenience wrapper functions to import various HYPE data files as data frame into R.

Usage

ReadAquiferData(
  filename = "AquiferData.txt",
  verbose = TRUE,
  header = TRUE,
  na.strings = "-9999",
  sep = "\t",
  stringsAsFactors = FALSE,
  encoding = c("unknown", "latin1", "UTF-8"),
  ...
)

ReadOutregions(
  filename = "Outregions.txt",
  verbose = TRUE,
  header = TRUE,
  na.strings = "-9999",
  sep = "\t",
  stringsAsFactors = FALSE,
  encoding = c("unknown", "latin1", "UTF-8"),
  ...
)

ReadBranchData(
  filename = "BranchData.txt",
  verbose = TRUE,
  header = TRUE,
  na.strings = "-9999",
  sep = "\t",
  stringsAsFactors = FALSE,
  encoding = c("unknown", "latin1", "UTF-8"),
  ...
)

ReadCropData(
  filename = "CropData.txt",
  verbose = TRUE,
  header = TRUE,
  na.strings = "-9999",
  sep = "\t",
  stringsAsFactors = FALSE,
  encoding = c("unknown", "latin1", "UTF-8"),
  ...
)

ReadDamData(
  filename = "DamData.txt",
  verbose = TRUE,
  header = TRUE,
  na.strings = "-9999",
  sep = "\t",
  quote = "",
  stringsAsFactors = FALSE,
  encoding = c("unknown", "latin1", "UTF-8"),
  ...
)

ReadFloodData(
  filename = "FloodData.txt",
  verbose = TRUE,
  header = TRUE,
  na.strings = "-9999",
  sep = "\t",
  quote = "",
  stringsAsFactors = FALSE,
  encoding = c("unknown", "latin1", "UTF-8"),
  ...
)

ReadGlacierData(
  filename = "GlacierData.txt",
  verbose = TRUE,
  header = TRUE,
  na.strings = "-9999",
  sep = "\t",
  stringsAsFactors = FALSE,
  encoding = c("unknown", "latin1", "UTF-8"),
  ...
)

ReadLakeData(
  filename = "LakeData.txt",
  verbose = TRUE,
  header = TRUE,
  na.strings = "-9999",
  sep = "\t",
  quote = "",
  stringsAsFactors = FALSE,
  encoding = c("unknown", "latin1", "UTF-8"),
  ...
)

ReadMgmtData(
  filename = "MgmtData.txt",
  verbose = TRUE,
  header = TRUE,
  na.strings = "-9999",
  sep = "\t",
  stringsAsFactors = FALSE,
  encoding = c("unknown", "latin1", "UTF-8"),
  ...
)

ReadPointSourceData(
  filename = "PointSourceData.txt",
  verbose = TRUE,
  header = TRUE,
  na.strings = "-9999",
  sep = "\t",
  stringsAsFactors = FALSE,
  encoding = c("unknown", "latin1", "UTF-8"),
  data.table = FALSE,
  ...
)

ReadAllsim(filename = "allsim.txt", na.strings = "-9999")

ReadForcKey(
  filename = "ForcKey.txt",
  sep = "\t",
  encoding = c("unknown", "latin1", "UTF-8")
)

ReadUpdate(
  filename = "update.txt",
  header = TRUE,
  sep = "\t",
  stringsAsFactors = FALSE,
  encoding = c("unknown", "latin1", "UTF-8"),
  data.table = FALSE,
  ...
)

Arguments

filename	Path to and file name of HYPE data file file to import. Windows users: Note that Paths are separated by '/', not '\'.
verbose	Logical, display message if columns contain NA values.
header	read.table or fread argument, with appropriate default for HYPE data file import.
na.strings	See header.
sep	See header.
stringsAsFactors	See header.
encoding	read.table argument. Specify character encoding when importing files created under Windows (default encoding "latin1") in Linux (default encoding "UTF-8") and vice versa.
...	Other parameters passed to read.table.
quote	See header.
data.table	Logical, return data.table instead of data frame. fread argument.

Details

Hype data file imports, simple read.table or fread wrappers with formatting arguments set to match HYPE file specifications:

• LakeData.txt

• DamData.txt

• MgmtData.txt

• AquiferData.txt

• PointSourceData.txt

• GlacierData.txt

• CropData.txt

• BranchData.txt

• Outregions.txt

• allsim.txt

• update.txt

In most files, HYPE requires NA-free input in required columns, but empty values are allowed in additional comment columns. Informative warnings will be thrown if NAs are found during import.

Value

Imported files are returned as data frames.

Examples

te <- ReadForcKey(filename = system.file("demo_model", "ForcKey.txt", package = "HYPEtools"))

HYPEtools documentation built on June 8, 2025, 11:02 a.m.