Manually defining the variables

[ppines]

As the data file I imported does not contain the variable names, I set them using the R function names(). This code ran without an issue:

#Add names to the dataset
names(Data) <- c("Gender", "Age", "MonthlyExpenses", "MaritalStatus", "HomeStatus", "Occupation", "BankingInstitution", "YearsEmployed", "NoPriorDefault", "Employed", "CreditScore", "DriversLicense", "AccountType", "MonthlyIncome", "AccountBalance", "Approved")

However, the following code produces an error:

> # Manually define the variables
> 
> Data$Gender <- as.factor(Data$Gender) 
Error in is.factor(x) : object 'Data' not found
> Data$Age <- as.numeric(Data$Age)
Error: object 'Data' not found
> Data$MonthlyExpenses <- as.integer(Data$MonthlyExpenses) 
Error: object 'Data' not found
> Data$MaritalStatus <- as.factor(Data$MaritalStatus) 
Error in is.factor(x) : object 'Data' not found
> Data$HomeStatus <- as.factor(Data$HomeStatus) 
Error in is.factor(x) : object 'Data' not found
> 

Why is the error occurring, given that I created "names(Data)" prior to defining the variables?

[Dindimonlu]

Apparently there is no any dataframe object called Data in your working environment. Therefore, it cannot find it. Are you sure that you created it in the right way? I produced a small example here, your code actually worked.

Data <- data.frame(a = c(1, 2, 2, 1), b = c(5, 6, 7, 8))
names(Data) <- c("Gender", "Age")
Data
  Gender Age
1      1   5
2      2   6
3      2   7
4      1   8

Data$Gender <- as.factor(Data$Gender) 
Data$Age <- as.numeric(Data$Age)
str(Data)
'data.frame':	4 obs. of  2 variables:
 $ Gender: Factor w/ 2 levels "1","2": 1 2 2 1
 $ Age   : num  5 6 7 8

[ppines]

Thank you! I have renamed the file..... so this now works.