readxl
)If you are working with an Excel file, you can read your data into R using the readxl
package. First, install the readxl
package:
install.packages("readxl")
Once the readxl
package is installed, load it into your environment with library()
.
library(readxl)
The package readxl
contains a function called read_excel()
, which is very similar to read_csv()
. The main difference between these two tools is that the file is be a .xls
or .xlsx
:
cat_data <- read_excel("Desktop/Reed/Bio123/cats.xls")
If you have multiple sheets in your Excel file, read_excel()
can access all of them. Perhaps the cats.xls
data has three sheets: the first sheet is about indoor cats, the second is about outdoor cats, and the third is about stray cats. You can load these in as follows:
indoor_cat <- read_excel(path = "Desktop/Reed/Bio123/cats.xls", sheet = 1)
outdoor_cat <- read_excel(path = "Desktop/Reed/Bio123/cats.xls", sheet = 2)
stray_cat <- read_excel(path = "Desktop/Reed/Bio123/cats.xls", sheet = 3)
You can also call the sheets by their names instead of by numbers:
indoor_cat <- read_excel(path = "Desktop/Reed/Bio123/cats.xls", sheet = "Indoor")
outdoor_cat <- read_excel(path = "Desktop/Reed/Bio123/cats.xls", sheet = "Outdoor")
stray_cat <- read_excel(path = "Desktop/Reed/Bio123/cats.xls", sheet = "Stray")
This code will help you to bring in data directly from Excel sheets. If you want to learn more about the readxl
package or the read_excel()
function, the Tidyverse documentation for readxl
provides a more extensive overview of the package and its functions.