You already asked this on StackOverflow.
The answer remains the same, pretty much what David W. wrote: this is
not a question about fitting lines to data. You need to step back and think
about what message you want to deliver to those who will view your graph,
and what the meaning of your data
Possibly see the
strucchange
package
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
On 11/6/13 9:19 AM, "Sashikanth Chandrasekaran"
wrote:
>I am not trying to fit a horizontal line at every unique value of y. I am
>trying f
On Nov 6, 2013, at 9:19 AM, Sashikanth Chandrasekaran wrote:
> I am not trying to fit a horizontal line at every unique value of y. I am
> trying fit the y values with as few horizontal lines by trading off the
> number of horizontal lines with the error. The actual problem I am trying
> to solve
] On Behalf Of Sashikanth
Chandrasekaran
Sent: Wednesday, November 6, 2013 11:20 AM
To: r-help@r-project.org
Subject: [R] Fitting multiple horizontal lines to data
I am not trying to fit a horizontal line at every unique value
of y. I am
trying fit the y values with as few horizontal lines by trading
I am not trying to fit a horizontal line at every unique value of y. I am
trying fit the y values with as few horizontal lines by trading off the
number of horizontal lines with the error. The actual problem I am trying
to solve is to smooth data in a time series. Here is a realistic example of
y
Your question doesn't make much sense if you really believe that the best fit
is to draw a horizontal line at every unique value of y. What is the
actual problem you are trying to solve? Clearly it's not a matter of
linear fits, so forget about using "lm" or other regression tools.
--
View
Dear R-users,
I am trying to fit my data using one or more horizontal lines. If my data
is in "y", I understand that "lm(y~1)" will fit a single horizontal line at
mean(y). However, I want to try and fit the data with multiple horizontal
lines if that reduces the error while still keeping the numbe
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