On Thu, 2010-05-13 at 17:31 -0400, Carl Witthoft wrote:
It's very simple to write a binit() function. If all you want to do
is e.g., bin 107 values into sums of 10 at a time, then write a loop
that sums x[10*i:11*i-1] (not tested and not syntactically correct).
The one I wrote for myself
Wow! This definitely contributed to my evening.
If you could indulge, I would like some clarification on this matter of
binning and distortion, particularly wrt time series (perhaps related to
long-memory processes?). I had thought binning was standard practice in
spectral analysis and ANPOW.
On 05/14/2010 07:35 PM, kMan wrote:
Wow! This definitely contributed to my evening.
If you could indulge, I would like some clarification on this matter of
binning and distortion, particularly wrt time series (perhaps related to
long-memory processes?). I had thought binning was standard
Hello everyone,
I have a data set, and I need to bin my data using a bin width of say g(n).
Would anyone be willing to tell me how to do this in R?
Thanks
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There would be several people who could help if you gave us a minimal,
reproducible example like the posting guide asks for.
If you have a vector of continuous data, and need to create a
categorical variable (in R, a factor) from that continuous variable,
then ?cut can help you.
@r-project.org
Subject: Re: [R] Simple question on binning data
There would be several people who could help if you gave us a minimal,
reproducible example like the posting guide asks for.
If you have a vector of continuous data, and need to create a
categorical variable (in R, a factor) from
On 14/05/2010, at 9:54 AM, Frank E Harrell Jr wrote:
SNIP
snip Binning is seldom needed and usually distorts. It is
the statistical equivalent of a former governor from Alaska.
SNIP
I nominate this for a fortune.
cheers,
Rolf Turner
I second it! Made me lol :)
Dennis
On Thu, May 13, 2010 at 3:03 PM, Rolf Turner r.tur...@auckland.ac.nzwrote:
On 14/05/2010, at 9:54 AM, Frank E Harrell Jr wrote:
SNIP
snip Binning is seldom needed and usually distorts. It is
the statistical equivalent of a former governor from
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