To the best of my knowledge, you can't skip step #2, at least not with
using much more complicated work-arounds like including a gsub() step
within the call to table, and to everything else you do with those
data.
Computers are generally better at dealing with normalized data, which
is what you're
On Apr 6, 2012, at 9:09 AM, John D. Muccigrosso wrote:
> I have some data files in which some fields have multiple values. For example
>
> first last sex major
> John Smith M ANTH
> Jane DoeF HIST,BIOL
>
> What's the best R-like way to handle these data (Jane's major in my
riginal Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Mark Grimes
Sent: Friday, April 06, 2012 11:16 AM
To: John D. Muccigrosso
Cc: r-help@r-project.org
Subject: Re: [R] multiple values in one column
John
I have to deal with this kind of thin
How about reading lines and separating out cases having more than one
major? For cases having more than one major, process the data to create
duplicate rows - one for each major
On Fri, Apr 6, 2012 at 8:39 PM, John D. Muccigrosso <
intern...@muccigrosso.org> wrote:
> I have some data files in whi
John
I have to deal with this kind of thing too for my class.
# Some functions
# for ad$Full.name = "Mark Grimes"
get.first.name <- function(cell){
x<-unlist(strsplit(as.character(cell), " "))
return(x[1])
}
get.last.name <- function(cell){
I have some data files in which some fields have multiple values. For example
first last sex major
John Smith M ANTH
Jane DoeF HIST,BIOL
What's the best R-like way to handle these data (Jane's major in my example),
so that I can do things like summarize the other fields by
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