is there a way to look for value changes in a column?
set.seed(144)
df-data.frame(state=sample(rep(1:5,200),1000))
any of the five states are acceptable. however if, for example,
states 4 or 5 follow state 3, i want to overwrite them with 3.
changes from 1 to any value and 2 to any value are
Justin Haynes jtor14 at gmail.com writes:
is there a way to look for value changes in a column?
df-data.frame(state=sample(rep(1:5,200),1000))
any of the five states are acceptable. however if, for example,
states 4 or 5 follow state 3, i want to overwrite them with 3.
changes from 1
Why isn't the sequence:
1 3 3 3 3 3 2 4 2 1 5 3 3 3
according to your rule about 5s following 3s.
On Tue, May 31, 2011 at 6:23 PM, Justin Haynes jto...@gmail.com wrote:
is there a way to look for value changes in a column?
set.seed(144)
df-data.frame(state=sample(rep(1:5,200),1000))
any
To: Justin Haynes
Cc: r-help@r-project.org
Subject: Re: [R] count value changes in a column
Why isn't the sequence:
1 3 3 3 3 3 2 4 2 1 5 3 3 3
according to your rule about 5s following 3s.
On Tue, May 31, 2011 at 6:23 PM, Justin Haynes jto...@gmail.com wrote:
is there a way to look for value changes
I apologize for the confusion but that solution will work with a twist.
I want to record only the first value of a state change that goes above 2.
so if the sequence is
344455544334 it should read all 3s
but 3442555414433 should read 33321
Hope that helps clarify, if not I can get
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