Day 6: Multiple Linear Regression: Predicting House Prices

  • alexey_filippov 9 years ago + 0 comments

    On strsplit, actually scan does the same out of box:

    nums <- suppressWarnings(readLines(file("stdin")))
    
    fn <- scan(text=nums[1])
    f <- fn[1]
    n <- fn[2]
    

    On the coefficients, there's no need to extract anything: as soon as you've got the fitted model, you can use predict to apply it to a data frame of queries.

    On printing, StackOverflow users suggest something along the lines of,

    write.table(cat(format(answer, nsmall=1), sep="\n"), sep = "", append=T, row.names = F, col.names = F)
    

    Frankly, I don't really understand how cat and write.table interact here, but it seems to work just fine.

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