Displaying 2 results from an estimated 2 matches for "diettype_1".
Did you mean:
  diettype_2
  
2018 Feb 25
0
reshaping column items into rows per unique ID
...f
2                             a
3                             j
4                             c
4                             c
4                              f",
header=TRUE,stringsAsFactors=FALSE)
library(prettyR)
stretch_df(a1df,"CustomerID","DietType")
  CustomerID DietType_1 DietType_2 DietType_3
1          1          a          c          b
2          2          f          a       <NA>
3          3          j       <NA>       <NA>
4          4          c          c          f
Jim
On Sun, Feb 25, 2018 at 11:59 PM, Allaisone 1 <allaisone1 at hotm...
2018 Feb 25
4
reshaping column items into rows per unique ID
Hi All
I have a datafram which looks like this :
CustomerID    DietType
1                           a
1                            c
1                            b
2                            f
2                             a
3                             j
4                             c
4                             c
4                              f
And I would like to reshape this so I can