Convert Logical to Dummy Vector in R (Example) | Replace TRUE/FALSE by 0/1 | as.numeric & as.logical

R code of this video:

x1 ＜- c(TRUE, FALSE, FALSE, TRUE, FALSE, TRUE) # Create logical vector
x1 # Print logical vector

x1_dummy # Print dummy vector

x2 ＜- c("TRUE", "FALSE", "FALSE", "TRUE", "FALSE", "TRUE") # Create character vector
x2 # Print character vector

class(x2) # Check class of vector

x2_logical # Print logical vector

class(x2_logical) # Check class of updated vector

x2_dummy # Print dummy vector

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[mar]

Hey, could you please guide me about the following issue? I have the dataset from 2013-2021, but divided into three Excel files as follows: from 2013-2016, from 2017-2019, and from 2020-2021, the Gender variable is a numeric variable taking the value of 1 for "females" and takes the value of 2 if "Male, " also in Excel file there are empty cells which R recognize it as NA. The R only for the first three years of the survey from 2013-to 2016 shows the Gender variable as numeric. Still, the second and third three years, from 2017-to 2019 and from 2020-to 2021, show the Gender variable as logic with NA values in the column of the Gender variable. What can I do to convert that logic into numeric? I tried, in the beginning, to omit the NA values and then change the type of the Gender into numeric, but then I got only the NA and 1 values, which is worse than before. I will appreciate any further help from your side. Thank you.

[haraldurkarlsson]

Very nice. Still good to know why we would have to do this in the first place. Where is it used and why?

[bhargavapothakamuri]

Found the solution for Rscript. Need the shebang for Rscript.