The class of the columns has been taken default as factors instead of taking the first column as numeric and the second column as character.

The first line has not been considered as a header.

There are two issues that are apparent with the data frame and that is On executing the above code we get the following result: V1 V2 > data print(data) # display the data frame details R will pick up default values of arguments and load the data frame.

For small size file, you can call the read.table function by just specifying the file argument. read.table function: Reads a file and creates a data frame from it. There are other convenience functions like read.csv and lim that provide arguments to read.table appropriate for CSV and tab-delimited files. The principal function for reading data into R is the read.table function. We need to set the current working directory in the R Environment with the following command > setwd(‘’) # set current working directory If this working directory differs from our project folder. > getwd() # get current working directory Id Nameīefore importing this file into a data frame object one needs to verify the current working directory in R Environment. The column values would be separated by whitespaces. Before importing data from files it better to free existing memory from unused objects. In your working directory create a folder named Data and in this folder create a RandomFile.txt with the following content.

Large files take up a lot of memory in R. The reason to follow this routine is that R saves objects in memory. To remove all objects from memory use the following commands: > rm(list = ls()) # remove all objects

To remove unused objects, Object1 and Object2 use the following command: > rm(list = c(‘Object1’, ‘Object2’)) # remove specific objects This command lists out all the objects in the current environment: > ls() # this will display the objects in the current environment.

When starting with new session in R it is better to remove unused objects which are probably saved over from the Previous R Session. The easiest form of data to import into R is through a text file. The Data being imported into R would be mostly a variation of spreadsheet-like text file. R is a language and software environment for Statistical Computing.

Flat files