https://github.com/cran/gdata
Tip revision: 50a118bc74acefabfa34b86ce558bda22ac0ad70 authored by Gregory Warnes on 12 November 2010, 00:00:00 UTC
version 2.8.1
version 2.8.1
Tip revision: 50a118b
test.read.xls.R
library(gdata)
if ( ! 'XLSX' %in% xlsFormats() )
{
try( installXLSXModules() )
}
# iris.xls is included in the gregmisc package for use as an example
xlsfile <- file.path(.path.package('gdata'),'xls','iris.xls')
iris.1 <- read.xls(xlsfile) # defaults to csv format
iris.1
iris.2 <- read.xls(xlsfile,method="csv") # specify csv format
iris.2
iris.3 <- read.xls(xlsfile,method="tab") # specify tab format
iris.3
stopifnot(all.equal(iris.1, iris.2))
stopifnot(all.equal(iris.1, iris.3))
exampleFile <- file.path(.path.package('gdata'),'xls',
'ExampleExcelFile.xls')
exampleFile2007 <- file.path(.path.package('gdata'),'xls',
'ExampleExcelFile.xlsx')
# see the number and names of sheets:
sheetCount(exampleFile)
if( 'XLSX' %in% xlsFormats() )
sheetCount(exampleFile2007)
sheetNames(exampleFile)
if( 'XLSX' %in% xlsFormats() )
sheetNames(exampleFile2007)
example.1 <- read.xls(exampleFile, sheet=1) # default is first worksheet
example.1
example.2 <- read.xls(exampleFile, sheet=2) # second worksheet by number
example.2
example.3 <- read.xls(exampleFile, sheet=3) # second worksheet by number
example.3
example.4 <- read.xls(exampleFile, sheet=3) # second worksheet by number
example.4
if( 'XLSX' %in% xlsFormats() )
{
example.x.1 <- read.xls(exampleFile2007, sheet=1) # default is first worksheet
print(example.x.1)
example.x.2 <- read.xls(exampleFile2007, sheet=2) # second worksheet by number
print(example.x.2)
example.x.3 <- read.xls(exampleFile2007, sheet=3) # second worksheet by number
print(example.x.3)
example.x.4 <- read.xls(exampleFile2007, sheet=3) # second worksheet by number
print(example.x.4)
data <- read.xls(exampleFile2007, sheet="Sheet Second") # and by name
print(data)
# load the third worksheet, skipping the first two non-data lines...
data <- read.xls(exampleFile2007, sheet="Sheet with initial text", skip=2)
print(data)
}