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Home/ Questions/Q 9222919
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Editorial Team
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Editorial Team
Asked: June 18, 20262026-06-18T03:56:59+00:00 2026-06-18T03:56:59+00:00

I have a dataset with three columns. The first column is type, second column

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I have a dataset with three columns. The first column is type, second column is area and third column is worth. I want to write a logical vector such that the type =1 , area = 3 and worth = 6. I was able to create the data frame using subset but I couldn’t create a logical vector.

hello <- read.csv("type.csv")
hello1 <- subset(hello, type==1 & area ==3 & worth ==6)

There are many NA values in worth column.
The data set is https://www.dropbox.com/s/gjjwmnr8uxmy18y/type.csv

Thanks.

Jdbaba

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  1. Editorial Team
    Editorial Team
    2026-06-18T03:57:00+00:00Added an answer on June 18, 2026 at 3:57 am

    So the question remains answered:

    which(with(hello, type == 1 & area == 3 & Worth == 6))
    

    Remember, you can just use it as:

    which(hello$type1 == 1 & hello$area == 3 & hello$Worth == 6)
    

    as well. However, when you have more statements to check for, a with comes in handy as it allows you to check without typing hello$ every time.

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