| load.data | R Documentation | 
Read data for an analysis from a variety of external typical file types, and assign them
load.data(
  xptFiles,
  xlsFiles,
  csvFiles,
  tabFiles,
  dir = "../project input/client data/data",
  xlsNames,
  xptNames,
  csvNames,
  tabNames,
  perl = "C:/Perl64/bin/perl.exe",
  xlsSheets,
  doScan = TRUE,
  target.env = parent.frame()
)
xptFiles | 
 vector of SAS transport (XPT) filenames  | 
xlsFiles | 
 vector of Microsoft Excel (XLS, XLSX) filenames  | 
csvFiles | 
 vector of comma-delimited (CSV) filenames  | 
tabFiles | 
 vector of tab-delimited (ASCII) filenames  | 
dir | 
 directory where the files reside  | 
xlsNames | 
 vector of object names for each Microsoft Excel (XLS, XLSX) file, in the same order.  | 
xptNames | 
 vector of object names for each SAS transport (XPT) file, in the same order.  | 
csvNames | 
 vector of object names for each comma-delimited (CSV) file, in the same order  | 
tabNames | 
 vector of object names for each tab-delimited (ASCII) file, in the same order  | 
perl | 
 directory where the perl executable resides  | 
xlsSheets | 
 a numeric vector of   | 
doScan | 
 logical  | 
target.env | 
 environment The environment into which the data files will be loaded and attached.  | 
Placeholder for return description
## Not run: 
load.data(xlsFiles = "ExampleInput.xlsx",
xlsNames = "XLinput1",
xlsSheets = 1, doScan = FALSE)
head(XLinput1)
head(iXLinput1)
load.data(xlsFiles = "ExampleInput.xlsx",
          xlsNames = "XLinput2",
          xlsSheets = 2,            # NOTE We can specify which worksheet (tab) of the Excel file
          doScan = FALSE)
head(iXLinput2)
load.data(csvFiles = c("ExampleInput2.csv","ExampleInput3.csv"),
          csvNames = c("CSVinput1", "CSVinput2"),
          doScan = FALSE)
head(CSVinput1)
load.data() # loading JUST doing automatic search for files ("scan")
## End(Not run)
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