# Is it possible to create new variables using R? (Newbie)

Greetings all!

I am currently working on a case study, which requires me to create new variables using R, and after much research, I cannot find a helpful answer. The case study calls for the following:

• Create a numeric variable that counts the total seasons of purchase through Spring 07.
• Create a variable that indicates whether the customer is a multichannel buyer or not
• Create a variable that indicates whether or not the customer has gift dollars or not

P.S. I am using a Microsoft Excel dataset for a multichannel company.

Any help would be greatly appreciated! Thank you all in advance!

See the FAQ: How to do a minimal reproducible example `reprex` for beginners. Lacking one, only abstract guidance is possible.

The source data for the first variable might look like `purch` below,
representing a sequence of purchases for 28 consecutive seasons, in which case,

``````set.seed(137)
purch <- sample(0:5,28,replace=TRUE)
length(purch) - length(purch[which(purch == 0)])
#> [1] 25
``````

indicating that 25 of 28 seasons had non-zero sales.

The other two are identical in form—boolean vectors, with `TRUE/FALSE` values. Assuming there are two vectors, also of length 28, encoding multichannel status and gift dollar status, respectively through encoding of `1/0`. Then

``````cust_attribute   <- c(1,0,0,1,1,0,0,0,1,0,1,1,1,0,0,1,0,1,1,0,0,0,1,1,1,1,0,1)
cust_attribute > 0
#>  [1]  TRUE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE  TRUE FALSE  TRUE  TRUE
#> [13]  TRUE FALSE FALSE  TRUE FALSE  TRUE  TRUE FALSE FALSE FALSE  TRUE  TRUE
#> [25]  TRUE  TRUE FALSE  TRUE
``````

This brings to the fore the want of a `reprex.` Having to guess at the structure of the source data likely makes the answer less helpful than it might otherwise be.

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