iris.xlsx and mtcars.xlsx), we first need to extract the names of all files. You will see that it contains the iris data set that we have exported above.In Examples 2 and 3 I’m going to explain two alternative packages for importing xlsx files (Tidyverse included). Read xls and xlsx files. sheetIndex = 1)Exactly the same as in Example 1, just with xls instead of xlsx.At this point, I have shown you basically all I know about reading Excel tables into R. However, it wouldn’t be the R programming language if there would not be more interesting stuff to learn.Furthermore, you might also want to have a look at the other R tutorials of this website.

row.names = FALSE)If we want to read both our example files (i.e.

The readxl package makes it easy to get data out of Excel and into R. Compared to many of the existing packages (e.g. rowNames Your Path ... /mtcars.xlsx",

Read xls and xlsx files.

However, I think we covered the most important ones and for that reason I’m now going to move on to some more complex situations.Fortunately, we are able to load only one specific worksheet from an Excel file – And that’s what I’m going to show you in this example.Let’s first extent our previously created example file (i.e. Your Path ... /iris.xls", # Read xls Excel file An xlsx file, Workbook object or URL to xlsx file. Your Path ... /iris.xlsx",

6 read_excel read_excel Read xls and xlsx files Description Read xls and xlsx files read_excel()calls excel_format()to determine if pathis xls or xlsx, based on the file extension and the file itself, in that order.

Read xls and xlsx files. Read xlsx & xls Excel File in R (6 Examples) This tutorial explains how to read Excel files in R.More precisely, I will show you how to: Read an xlsx File with the read.xlsx Function of the xlsx Package (); Read an xlsx File with the read_excel Function of the readxl Package (); Read an xlsx File with the read.xlsx Function of the openxlsx Package (); Read a Specific Sheet of an Excel File ()

However, openxlsx and xlsx provide different additional specifications for the read.xlsx functions.There are even more packages and functions that enable the import of Excel files to R (e.g. gdata, xlsx, xlsReadWrite) readxl has no external dependencies, so it’s easy to install and use on all operating systems. User can also supply via Here are some other packages with functionality that is complementary to readxl and that also avoid a Java dependency.Please note that the readxl project is released with a #> [1] "clippy.xls" "clippy.xlsx" "datasets.xls" "datasets.xlsx"#> [5] "deaths.xls" "deaths.xlsx" "geometry.xls" "geometry.xlsx"#> [1] "/Users/jenny/Library/R/3.6/library/readxl/extdata/clippy.xls"#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species#> #> 1 5.1 3.5 1.4 0.2 setosa #> 2 4.9 3 1.4 0.2 setosa #> 3 4.7 3.2 1.3 0.2 setosa #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species#> #> 1 5.1 3.5 1.4 0.2 setosa #> 2 4.9 3 1.4 0.2 setosa #> 3 4.7 3.2 1.3 0.2 setosa #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species#> #> 1 5.1 3.5 1.4 0.2 setosa #> 2 4.9 3 1.4 0.2 setosa #> 3 4.7 3.2 1.3 0.2 setosa#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species#> #> 1 5.1 3.5 1.4 0.2 setosa #> 2 4.9 3 1.4 0.2 setosa #> 3 4.7 3.2 1.3 0.2 setosa#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species#> #> 1 5.1 3.5 1.4 0.2 #> 2 4.9 3 1.4 0.2 #> 3 4.7 3.2 1.3 0.2