read.xlsx: Read data from an Excel file or Workbook object into a data.frame

Description

Read data from an Excel file or Workbook object into a data.frame

Usage

read.xlsx(xlsxFile, sheet = 1, startRow = 1, colNames = TRUE, rowNames = FALSE, detectDates = FALSE, skipEmptyRows = TRUE, rows = NULL, cols = NULL, check.names = FALSE, namedRegion = NULL)

Arguments

xlsxFile

An xlsx file or Workbook object

sheet

The name or index of the sheet to read data from.

startRow

first row to begin looking for data. Empty rows at the top of a file are always skipped, regardless of the value of startRow.

colNames

If TRUE, the first row of data will be used as column names.

rowNames

If TRUE, first column of data will be used as row names.

detectDates

If TRUE, attempt to recognise dates and perform conversion.

skipEmptyRows

If TRUE, empty rows are skipped else empty rows after the first row containing data will return a row of NAs.

rows

A numeric vector specifying which rows in the Excel file to read. If NULL, all rows are read.

cols

A numeric vector specifying which columns in the Excel file to read. If NULL, all columns are read.

check.names

logical. If TRUE then the names of the variables in the data frame are checked to ensure that they are syntactically valid variable names

namedRegion

A named region in the Workbook. If not NULL startRow, rows and cols paramters are ignored.

Value

data.frame

Details

Formulae written using writeFormula to a Workbook object will not get picked up by read.xlsx(). This is because only the formula is written and left to be evaluated when the file is opened in Excel. Opening, saving and closing the file with Excel will resolve this.

Examples

Run this code

xlsxFile <- system.file("readTest.xlsx", package = "openxlsx")
df1 <- read.xlsx(xlsxFile = xlsxFile, sheet = 1, skipEmptyRows = FALSE)
sapply(df1, class)

df2 <- read.xlsx(xlsxFile = xlsxFile, sheet = 3, skipEmptyRows = TRUE)
df2$Date <- convertToDate(df2$Date)
sapply(df2, class)
head(df2)

df2 <- read.xlsx(xlsxFile = xlsxFile, sheet = 3, skipEmptyRows = TRUE,
                   detectDates = TRUE)
sapply(df2, class)
head(df2)

#wb <- loadWorkbook(system.file("readTest.xlsx", package = "openxlsx"))
#df3 <- read.xlsx(wb, sheet = 2, skipEmptyRows = FALSE, colNames = TRUE)
#df4 <- read.xlsx(xlsxFile, sheet = 2, skipEmptyRows = FALSE, colNames = TRUE)
#all.equal(df3, df4)

#wb <- loadWorkbook(system.file("readTest.xlsx", package = "openxlsx"))
#df3 <- read.xlsx(wb, sheet = 2, skipEmptyRows = FALSE,
# cols = c(1, 4), rows = c(1, 3, 4))