In either case, your data should be formated to have the first row as the variable name and the next rows as the data:
age weight other
12 25 63
13 67 67
... ... ...
-.csv files-
For .csv files, R has a built-in function that you can use to sort of "upload" you data:
read.csv(file.choose())
This will open a little window where you can browse and select your .csv file.
Or, if you know the exact location of your file, you can use (I made a folder on my desktop and a file named data1.csv):
read.csv("C:\\Users\\Andrew\\Desktop\\Desktop Folder\\data1.csv")
(For some reason you have to use double back-slashes. I don't know why.)
-Excel files-
The package 'xlsReadWrite' has a function
read.xls to read .xls files.Funny thing is, this package doesn't come installed in R. No worries. Use the code:
install.packages('xlsReadWrite')
and follow the onscreen instructions.
Then, "load" this package with:
library(xlsReadWrite)
And you're ready to go.
The logic is the same as with the 'read.csv' command- just replace all '.csv' to '.xls':
read.xls(file.choose())
read.xls("C:\\Users\\Andrew\\Desktop\\Desktop Folder\\data1.xls")
-All codes used-
read.csv(file.choose())
read.csv("C:\\Users\\Andrew\\Desktop\\Desktop Folder\\data1.csv")
install.packages('xlsReadWrite')
library(xlsReadWrite)
read.xls(file.choose())
read.xls("C:\\Users\\Andrew\\Desktop\\Desktop Folder\\data1.xls")
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