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Mydata = read.csv( 'mydata.csv ') mydata ## variable.1 variable.2 variable.3 ## 1 10 beer TRUE ## 2 25 wine TRUE ## 3 8 cheese FALSE str( mydata) ## 'data.frame':3 obs. Of 3 variables: ## $ variable.1: int 10 25 8 ## $ variable.2: Factor w/ 3 levels 'beer','cheese'.: 1 3 2 ## $ variable.3: logi TRUE TRUE FALSE However, we may want to read in variable.2 as a character variable rather then a factor. We can take care of this by changing the stringsAsFactors argument. The default has stringsAsFactors = TRUE; however, setting it equal to FALSE will read in the variable as a character variable. Mydata_2 = read.csv( 'mydata.csv ', stringsAsFactors = FALSE) mydata_2 ## variable.1 variable.2 variable.3 ## 1 10 beer TRUE ## 2 25 wine TRUE ## 3 8 cheese FALSE str( mydata_2) ## 'data.frame':3 obs. Of 3 variables: ## $ variable.1: int 10 25 8 ## $ variable.2: chr 'beer' 'wine' 'cheese' ## $ variable.3: logi TRUE TRUE FALSE As previously stated read.csv is just a wrapper for read.table but with adjusted default arguments. Therefore, we can use read.table to read in this same data.

The two arguments we need to be aware of are the field separator ( sep) and the argument indicating whether the file contains the names of the variables as its first line ( header). In read.table the defaults are sep = ' and header = FALSE whereas in read.csv the defaults are sep = ',' and header = TRUE.

There are multiple other arguments we can use for certain situations which we illustrate below. Damini Marathi Serial Images. # provides same results as read.csv above read.table( 'mydata.csv ', sep = ', ', header = TRUE, stringsAsFactors = FALSE) ## variable.1 variable.2 variable.3 ## 1 10 beer TRUE ## 2 25 wine TRUE ## 3 8 cheese FALSE # set column and row names read.table( 'mydata.csv ', sep = ', ', header = TRUE, stringsAsFactors = FALSE, col.names = c( 'Var 1 ', 'Var 2 ', 'Var 3 '), row.names = c( 'Row 1 ', 'Row 2 ', 'Row 3 ')) ## Var.1 Var.2 Var.3 ## Row 1 10 beer TRUE ## Row 2 25 wine TRUE ## Row 3 8 cheese FALSE # manually set the classes of the columns set_classes. # a worksheet with comments in the first two lines read.xlsx( 'mydata.xlsx ', sheetName = 'Sheet3 ') ## HEADER.COMPANY.A NA. ## 1 What if we want to disregard header text in Excel file? ## 2 variable 6 variable 7 ## 3 200 Male ## 4 225 Female ## 5 400 Female ## 6 310 Male # read in all data below the second line read.xlsx( 'mydata.xlsx ', sheetName = 'Sheet3 ', startRow = 3) ## variable.6 variable.7 ## 1 200 Male ## 2 225 Female ## 3 400 Female ## 4 310 Male # read in a range of rows read.xlsx( 'mydata.xlsx ', sheetName = 'Sheet3 ', rowIndex = 3: 5) ## variable.6 variable.7 ## 1 200 Male ## 2 225 Female We can also change the class type of the columns when we read them in. # read in data without changing class type mydata_sheet1.1.