read.list.lsd {LSDinterface} | R Documentation |
Read one or more instances of LSD variables (time series) from a set of LSD results file into a list
Description
This function reads the data series associated to a specific or a set of instances of each selected variable from a set of LSD results file (.res) and saves them into separated matrices (one per file).
Usage
read.list.lsd( files, col.names = NULL, nrows = -1, skip = 0,
check.names = TRUE, instance = 0, pool = FALSE, nnodes = 1,
posit = NULL, posit.match = c( "fixed", "glob", "regex" ) )
Arguments
files |
a character vector containing the names of the LSD results files which the data are to be read from. If they do not contain an absolute path, the file names are relative to the current working directory, |
col.names |
a vector of optional names for the variables. The default is to read all variables. |
nrows |
integer: the maximum number of time steps (rows) to read in. Negative and other invalid values are ignored. The default is to read all rows. |
skip |
integer: the number of time steps (rows) of the results file to skip before beginning to read data. The default is to read from the first time step (t = 1). |
check.names |
logical. If |
instance |
integer: the instance of the variable to be read, for variables that exist in more than one object. This number is based on the position (column) of the variable in the results file. The default (0) is to read all instances. |
pool |
logical. If |
nnodes |
integer: the maximum number of parallel computing nodes (parallel threads) in the current computer to be used for reading the files. The default, |
posit |
a string, a vector of strings or an integer vector describing the LSD object position of the variable(s) to select. If an integer vector, it should define the position of a SINGLE LSD object. If a string or vector of strings, each element should define one or more different LSD objects, so the returning matrix will contain variables from more than one object. By setting |
posit.match |
a string defining how the |
Details
Selection restriction arguments can be provided as needed; when not specified, all available cases are selected.
When posit
is supplied together with col.names
or instance
, the selection process is done in two steps. Firstly, the column names and instance positions set by col.names
and instance
are selected. Secondly, the instances defined by posit
are selected from the first selection set.
See select.colnames.lsd
and select.colattrs.lsd
for examples on how to apply advanced selection options.
Value
Returns a named list of matrices with the selected variables' time series in the results files. If pool = TRUE
, the return value is a single, consolidated matrix (column names are not unique).
The matrices dimension order is: time x variable.
Matrix column names are only "cleaned" if there are just single instanced variables selected. When multiple instanced variables are present, the column names include all the header information contained in the LSD results file. The name of the LSD variable associated to any column name can be retrieved with name.var.lsd
.
Note
When using the option pool = TRUE
, columns from multiple files are consolidated with their original names plus the file name, to keep all column names unique. Use name.var.lsd
to get just the LSD name of the variable corresponding to each column.
The returned matrices may be potentially very wide, in particular if variables are not well selected(see col.names
above) or if there is a large number of instances.
Author(s)
Marcelo C. Pereira
See Also
list.files.lsd()
name.var.lsd()
read.single.lsd()
,
read.multi.lsd()
,
read.3d.lsd()
,
read.4d.lsd()
,
read.raw.lsd()
,
Examples
# get the list of file names of example LSD results
files <- list.files.lsd( system.file( "extdata", package = "LSDinterface" ) )
# read all instances of all variables from three files (one matrix each),
tableList <- read.list.lsd( files )
print( tableList[[ 1 ]][ 1 : 5, 1 : 7 ] )
print( tableList[[ 2 ]][ 1 : 5, 1 : 7 ] )
print( tableList[[ 3 ]][ 1 : 5, 1 : 7 ] )
# read all instances of a set of variables named '_A1p' and '_growth1'
# and pool data into a single matrix
abTable <- read.list.lsd( files, c( "_A1p", "_growth1" ), pool = TRUE )
print( abTable[ 10 : 20, 10 : 12 ] )
# read instance 4 of all variables, skipping the initial 20 time steps
# and keeping up to 30 time steps (from t = 21 up to t = 30)
inst4List21_30 <- read.list.lsd( files, skip = 20, nrows = 30, instance = 4 )
print( inst4List21_30[[ 1 ]] )
print( inst4List21_30[[ 2 ]] )
# read all variables in top-level objects, using up to 2 cores for processing
instTop <- read.list.lsd( files, posit = 1, nnodes = 2 )
print( instTop$Sim1_1[ 11 : 20, ] ) # use the file name to retrieve list item
print( instTop$Sim1_2[ 11 : 20, ] )