Displaying 20 results from an estimated 5000 matches similar to: "How to it a "loess curve" and obtain the equation in R?"
2011 Dec 11
3
Bioconductor. MA plot for qPCR array
Dear all,
Is there anyway too generate MA plot for 2 qPCR assays (an array of 2x 400).
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2011 Dec 27
2
How to create a matrix with 3 dimensions from several 2 dimensional matrice?
Hi every one,
How is it possible to create a matrix with 3 dimensions from several 2
dimensional matrice?
Is it possible that each of "elementary/building block" matrices could be
called by its corresponding original name?
Thanks alot.
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2010 Sep 29
1
Obtaining lattice equivalent smoothed (loess) plot in ggplot
Hello,
I have been struggling to do a plot in ggplot(2) that's of lattice equivalent. The following code shows the lattice plot.
2013 Jan 08
1
Problem getting loess tricubic weights
Hi
I am trying to get the tricube weights from the loess outputs as I need to
calculate an error function which requires the weight.
So I have used the following example from the R:
cars.lo <- loess(dist ~ speed, cars, span=0.5, degree=1, family="symmetric")
Then i try to get the weights:
cars.lo$weights
[1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
2012 Mar 06
1
LOESS confidence interval
Dear all,
I'm trying to construct confidence intervals for a LOWESS estimation (by not using bootstrapping).
I have checked previous posts and other material online and I understand that the main procedure is:
my.count<- seq(...)
fit<- loess (y ~ x, data=z)
pred<- pred(fit, my.count, se=TRUE)
and then the plotting.
However, it's not working; as confidence
2005 Jul 12
1
getting panel.loess to use updated version of loess.smooth
I'm updating the loess routines to allow for, among other things,
arbitrary local polynomial degree and number of predictors. For now,
I've given the updated package its own namespace. The trouble is,
panel.loess still calls the original code in package:stats instead of
the new loess package, regardless of whether package:loess or
package:lattice comes first in the search list. If I
2013 Jan 18
1
lattice: loess smooths based on y-axis values
Hi there,
I'm using the lattice package to create an xy plot of abundance vs. depth for 5 stages of barnacle larvae from 5 species. Each panel of the plot represents a different stage, while different loess smoothers within each panel should represent different species.
However, I would like depth to be on the y-axis and abundance to be on the x-axis, because this is more intuitive as an
2023 Mar 23
1
loess plotting problem
Thanks, John.
However, loess.smooth() is producing a very different curve compared to the
one that results from applying predict() on a loess(). I am guessing they
are using different defaults. Correct?
On Thu, 23 Mar 2023 at 20:20, John Fox <jfox at mcmaster.ca> wrote:
> Dear Anupam Tyagi,
>
> You didn't include your data, so it's not possible to see exactly what
>
2012 Mar 31
2
A introductory question about Zips law (Newbie to statistics)
Hi everyone.
Newbie to statistics.
I have 40 matrices of ~400 values. how may I determine whether the
distribution follows zips law?
response <-sample (1:20,400*4, replace= TRUE)
Thank you vry much.
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2011 Jul 12
1
LOESS function Newton optimization
I have a question about running an optimization function on an existing LOESS
function defined in R. I have a very large dataset (1 million observations)
and have run a LOESS regression. Now, I want to run a Newton-Raphson
optimization to determine the point at which the slope change is the
greatest.
I am relatively new to R and have tried several permutations of the maxNR
and nlm functions with
2023 Mar 23
1
loess plotting problem
Dear Anupam Tyagi,
You didn't include your data, so it's not possible to see exactly what
happened, but I think that you misunderstand the object that loess()
returns. It returns a "loess" object with several components, including
the original data in x and y. So if pass the object to lines(), you'll
simply connect the points, and if x isn't sorted, the points
2012 Apr 03
2
How does predict.loess work?
Dear R community,
I am trying to understand how the predict function, specifically, the
predict.loess function works.
I understand that the loess function calculates regression parameters at
each data point in 'data'.
lo <- loess ( y~x, data)
p <- predict (lo, newdata)
I understand that the predict function predicts values for 'newdata'
according to the loess regression
2010 Oct 26
2
anomalies with the loess() function
Hello Masters,
I run the loess() function to obtain local weighted regressions, given
lowess() can't handle NAs, but I don't
improve significantly my situation......, actually loess() performance leave
me much puzzled....
I attach my easy experiment below
#------SCRIPT----------------------------------------------
#I explore the functionalities of lowess() & loess()
#because I have
2012 Mar 14
2
Apply a loop containing a function on a list
Hi all,
I want to do this:
B.list$aa= (a loop containing My.fun acting on the reults of second
function on a A.list$aa))
or, overally
B.list$aa = function (A.list$aa)
B.list and A.list has many sublists aa, ab and.... Is there a way I can
apply the function and loop on all sublists of A.list and get B.list?
Thanks in advance.
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2012 Nov 20
2
Help with loess
Not sure what I'm doing wrong. Can't seem to get loess values. It looks like
loess is returning the same values as the input.
j <-loess(x1$total~as.numeric(index(x1)
plot(x1$total,type='l', ylab='M coms/y global',xlab='')
lines(loess(total~as.numeric(index(x1)),x1))
The plot statement works fine
No errors with the "lines" statement
But I don't
2005 Nov 17
3
loess: choose span to minimize AIC?
Is there an R implementation of a scheme for automatic smoothing
parameter selection with loess, e.g., by minimizing one of the AIC/GCV
statistics discussed by Hurvich, Simonoff & Tsai (1998)?
Below is a function that calculates the relevant values of AICC,
AICC1 and GCV--- I think, because I to guess from the names of the
components returned in a loess object.
I guess I could use
2012 Aug 08
1
Confidence bands around LOESS
Hi Folks,
I'm looking to do Confidence bands around LOESS smoothing curve.
If found the older post about using the Standard error to approximate it
https://stat.ethz.ch/pipermail/r-help/2008-August/170011.html
Also found this one
http://www.r-bloggers.com/sab-r-metrics-basics-of-loess-regression/
But they both seem to be approximations of confidence intervals and I was
wonder if there was
2010 Aug 27
3
predict.loess and NA/NaN values
Hi!
In a current project, I am fitting loess models to subsets of data in
order to use the loess predicitons for normalization (similar to what
is done in many microarray analyses). While working on this I ran into
a problem when I tried to predict from the loess models and the data
contained NAs or NaNs. I tracked down the problem to the fact that
predict.loess will not return a value at all
2011 Mar 18
1
Difficulty with 'loess' function
Hi,
I am trying to create a loess smooth from hydrologic data. My goal is to
create a smooth line that describes discharge at a certain point in time. I
have done this using the 'lowess' function and had no problem, but I'm
having some difficulty with loess. I am inputting the date ('date') and
discharge ('q') values using the 'scan' function, then inputting
2010 May 31
3
What does LOESS stand for?
Dear R-community,
maybe someone can help me with this:
I've been using the loess() smoother for quite a while now, and for
the matter of documentation I'd like to resolve the acronym LOESS.
Unfortunately there's no explanation in the help file, and I didn't
get anything convincing from google either.
I know that the predecessor LOWESS stands for "Locally Weighted