Hi Allaisone,
If you want a data frame as the output you will have to put up with a
few NA values unless each Customer has the same number of diet types:
a1df<-read.table(text="CustomerIDDietType
1 a
1c
1b
2
It depends quite strongly on what you want to do with the result, but I wonder
if what is really needed might be a list of diettypes per person, i.e.
continuing from Eric's code
> On 25 Feb 2018, at 18:56 , Eric Berger wrote:
>
> Hi Allaisone,
> I took a slightly different approach but you mig
Hi Allaisone,
I took a slightly different approach but you might find this either as or
more useful than your approach, or at least a start on the path to a
solution you need.
df1 <-
data.frame(CustId=c(1,1,1,2,3,3,4,4,4),DietType=c("a","c","b","f","a","j","c","c","f"),
strin
I believe you need to spend time with an R tutorial or two: a data frame
(presumably the "table" data structure you describe) can *not* contain
"blanks" -- all columns must be the same length, which means NA's are
filled in as needed.
Also, 8e^5 * 7e^4 = 5.6e^10, which almost certainly will not fi
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