On 14/08/2018 11:48 AM, Tania Morgado Garcia wrote:
Hello everyone. I'm new to R and I'm using spline functions. With the
command splinefun (x, y) I get the function of interpolating the values x
and y. Later, I can evaluate that function for values of x by obtaining the
respective values of y.
The uniroot function can be used to find a value in a specified
interval, if it exists.
On Tue, Aug 14, 2018 at 3:30 PM Tania Morgado Garcia wrote:
>
> Hello everyone. I'm new to R and I'm using spline functions. With the
> command splinefun (x, y) I get the function of interpolating the values x
If I understand correctly, not in general possible.
Suppose for a bunch of different x's the y's are all constant =0. What x
would correspond to y = 1.
Or suppose (x,y) pairs trace a sine function over several periods. Then
there is no unique x corresponding to y = .5, say.
Perhaps if you more e
Hello everyone. I'm new to R and I'm using spline functions. With the
command splinefun (x, y) I get the function of interpolating the values x
and y. Later, I can evaluate that function for values of x by obtaining the
respective values of y. The point is that I need the inverse operation,
with t
Yikes! That almost requires a book. Why don't you start by doing some
of your own homework instead. Search on:
fit spline curves to longitudinal data in R
and then go through the tutorials/presentations that pop up. There
will also be books that you will find, I'm sure if you're serious
about thi
I wish to fit spline curves to longitudinal data
Which package should I use and how should data be structured to facilitate the
analysis
-
Deva
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https://stat.ethz.ch/mailman/listin
Sorry if this appears twice but I am not sure the first attempt got through.
This is not much to go on but here is a short self contained example which
creates a longitudinal data frame L in long form from the built in data
frame BOD and then plots it as points and splines using lattice:
L <- rbi
Hi,
That's not really enough information to help you. Why don't you do
some research on your own, and come back with a better-formulated
question?
A search at http://rseek.org/ for
spline longitudinal data
finds a lot of material that will help you get started.
Sarah
On Mon, Jun 29, 2015 at 2:2
I wish to analyse longitudinal data and fit spline graphs to it looking to
the data pattern.
can someone suggest some starting point, and package in R to be used for
it.
what would be the requirement for structuring the raw data.
**
*Deva*
[[alternative HTML version deleted]]
On Jun 22, 2015, at 1:09 PM, Glenn Schultz wrote:
> I have the following code which creates a spline function
>
> x <- c(1, 12, 24, 36, 60, 120, 200, 240, 300, 360)
> y <- c(.2, 8, 8, 8, 8, 8, 8, 8, 18, 50)
>
>
> Baseline <- cbind(x,y)
> Turnover <- splinefun(Baseline[,1], Baseline[,2], method
I have the following code which creates a spline function
x <- c(1, 12, 24, 36, 60, 120, 200, 240, 300, 360)
y <- c(.2, 8, 8, 8, 8, 8, 8, 8, 18, 50)
Baseline <- cbind(x,y)
Turnover <- splinefun(Baseline[,1], Baseline[,2], method = "natural")
plot(Turnover(seq(1, 360, 1)), type = "l")
If I chan
Also, you might want to check out the gamm4 package.
Ken
On 04/21/14, Bert Gunter wrote:
> See gam() and gamm() in the mgcv package.
>
> Cheers,
> Bert
>
> Bert Gunter
> Genentech Nonclinical Biostatistics
> (650) 467-7374
>
> "Data is not information. Information is not knowledge. And knowled
See gam() and gamm() in the mgcv package.
Cheers,
Bert
Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374
"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
H. Gilbert Welch
On Mon, Apr 21, 2014 at 3:25 PM, John Sorkin
wrote:
> Collea
Colleagues,
Is there any R program that will allow me to run a localized regression (e.g.
smoothing spline) in the context of a random effects model? I have data on the
growth of animals and want to create growth curves. I am not certain what shape
the growth curve would take, so I would like to
On 15/02/12 21:25, Michael Bedward wrote:
On 15 February 2012 19:00, Jeff Newmiller wrote:
What part of "read the posting guide" did you not understand? The "provide
commented, minimal, self-contained, reproducible code" part?
Off topic: why is there so much unfriendliness on this thread ? Bo
On 14-02-2012, at 22:14, Hasan Diwan wrote:
>> dput(sensor.sample)
> structure(c(1328565718.65, 1328566608.9, 1328566162.65, 1328566571.1,
> 1328566598.85, 1328565634.3, 1328566513.95, 1328565123.65, 1328565827.1,
> ..
> What I'd like to do is get a spline through all the points. I'm
> thinki
On 15 February 2012 19:00, Jeff Newmiller wrote:
> What part of "read the posting guide" did you not understand? The "provide
> commented, minimal, self-contained, reproducible code" part?
Off topic: why is there so much unfriendliness on this thread ? Both
the above and DW's post seem unnecessa
What part of "read the posting guide" did you not understand? The "provide
commented, minimal, self-contained, reproducible code" part?
---
Jeff NewmillerThe . . Go Live...
DCN:
Rolf,
On 14 February 2012 21:26, Rolf Turner wrote:
> What did you actually *do* to create your spline?
> Did you use spline() or splinefun()? And if not, why not?
Yes... I used the spline() function to get a list of points that
should go though every point in the dataset, but it does not
David:
Why do you say the OP wants a 503rd or 504th degree polynomial?
He/she wants an interpolating spline.
But that is precisely what "spline()" or "splinefun()" would give him/her.
So I don't understand the problem either!!!
To the OP:
What did you actually *do* to create your spline?
On Feb 14, 2012, at 4:14 PM, Hasan Diwan wrote:
dput(sensor.sample)
structure(c(1328565718.65, 1328566608.9, 1328566162.65, 1328566571.1,
snipped 5 pages of data
0.909395426580465, 0.806793813827552, 0.474927337412093,
-0.0383057034947468,
-0.454526719533217, -0.187379201707524, 0.24998
> dput(sensor.sample)
structure(c(1328565718.65, 1328566608.9, 1328566162.65, 1328566571.1,
1328566598.85, 1328565634.3, 1328566513.95, 1328565123.65, 1328565827.1,
1328566719.9, 1328565527.55, 1328565118.05, 1328565556.85, 1328565623.85,
1328565230.75, 1328566083.85, 1328566012.45, 1328566795.75,
Hello list, is there any R function for generating spline for implicit
functions, for example a spline for an two-column data frame where for
one value for one variable there maybe several correspondent values for
another? Many thanks.
Currently I'm using this home-made one:
> spline2d <- function
I am using R for volatility calibration (Variance Gamma distribution).
My question is very basic and not at all related to mathematics!
y=spline(KK,CallPrices,,"fmm",,,strikes)
When calling spline function it returns a list y
The list contains some numbers which I have to subtract from ano
> Date: Sat, 5 Feb 2011 18:08:43 +0100
> From: cbelei...@units.it
> To: r-help@r-project.org
> Subject: Re: [R] spline interpolation
>
> Hi,
>
> Just pure curiosity:
> may I ask why you want to do spline interplation o
Hi,
Just pure curiosity:
may I ask why you want to do spline interplation on fluorescence intensity as
function of concentration?
Particularly as it looks quite typical for an unknown problem's calibration
plot?
Claudia
On 02/05/2011 03:29 PM, Asan Ramzan wrote:
Hello R-help
I have the
> From: dwinsem...@comcast.net
> To: asanram...@yahoo.com
> Date: Sat, 5 Feb 2011 10:24:04 -0500
> CC: r-help@r-project.org
> Subject: Re: [R] spline interpolation
>
>
> On Feb 5, 2011, at 9:29 AM, Asan Ramzan wrote:
>
> > Hello R-help
> > I have
On Feb 5, 2011, at 10:37 AM, Mike Marchywka wrote:
From: dwinsem...@comcast.net
To: asanram...@yahoo.com
Date: Sat, 5 Feb 2011 10:24:04 -0500
CC: r-help@r-project.org
Subject: Re: [R] spline interpolation
On Feb 5, 2011, at 9:29 AM, Asan Ramzan wrote:
Hello R-help
I have the following data
t.org] On Behalf Of David Winsemius
> Sent: Saturday, February 05, 2011 8:24 AM
> To: Asan Ramzan
> Cc: r-help@r-project.org
> Subject: Re: [R] spline interpolation
>
>
> On Feb 5, 2011, at 9:29 AM, Asan Ramzan wrote:
>
> > Hello R-help
> > I have the following d
On Feb 5, 2011, at 9:29 AM, Asan Ramzan wrote:
Hello R-help
I have the following data for a standard curve
concentration(nM),fluorescence
0,48.34
2,58.69
5,70.83
10,94.73
20,190.8
50,436.0
100, 957.9
(1)Is there function in R to plot a spline.
?spline
(2)How can I interpolation,say 1000 poi
Hello R-help
I have the following data for a standard curve
concentration(nM),fluorescence
0,48.34
2,58.69
5,70.83
10,94.73
20,190.8
50,436.0
100, 957.9
(1)Is there function in R to plot a spline.
(2)How can I interpolation,say 1000 point from 0nM-100nM and store this as a
data frame of concent
Hey Ashta,
Simply typo, it's splines... library(splines).
Cheers...
-
Simon Bonner
Post-Doctoral Fellow
Department of Statistics, UBC
www.simon.bonners.ca
On Mon, 2009-10-19 at 12:59 -0400, Ashta wrote:
> Hi All,
>
> I am using R version 2.9.2 (2009-08-24) window version
> and I wanted to
Hi All,
I am using R version 2.9.2 (2009-08-24) window version
and I wanted to use the
> library(spline)
Error in library(spline) : there is no package called 'spline'
I tried to install packages as well and it is not there either.
Am I missing something there. Where can I get this library?
Th
.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
> project.org] On Behalf Of serbring
> Sent: Saturday, July 25, 2009 3:29 AM
> To: r-help@r-project.org
> S
i have a trend that it is linear at first and then it has a particular trend.
There is a mathematic model, but it describes only the linear part. I have
tried to use a spline regressione, but i have obtained a particular fit
trend that it is unreal. Can i create a spline regression that it is of a
Try:
set.seed(2315468168)
library(mgcv)
attach(SG2)
modele3 <- gam(J15STATUS~SWANG1+s(AGE)+ s (SP2),data=SG2,family=binomial)
>
>
On Tue, Apr 22, 2008 at 8:18 AM, kende jan <[EMAIL PROTECTED]> wrote:
> dear all,
> I have a problem about "spline", when I send this:
> library(mgcv)
> attach(SG2)
dear all,
IÂ have a problem about "spline", when I send this:
library(mgcv)
attach(SG2)
modele3 <- gam(J15STATUS~SWANG1+s(AGE)+ s (SP2),data=SG2,family=binomial)
it doesen't work et it says:
Erreur dans get(".Random.seed",envir=.GlobalEnv)
variable".Random.seed" introuvable
Thanks a lot
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