Displaying 20 results from an estimated 8000 matches similar to: "fda, version 1.2.3"
2007 Aug 14
0
'fda' 1.2.2 is now available on CRAN.
The fda package supports "Functional Data Analysis" and "Applied
Functional Data Analysis" by Bernard Silverman and James Ramsay.
Functional data analysis, which lots of us like to call "FDA", is
about the analysis of information on curves or functions. FDA is a
collection statistical techniques for answering questions like, "What
are the main ways in which the
2007 Aug 14
0
'fda' 1.2.2 is now available on CRAN.
The fda package supports "Functional Data Analysis" and "Applied
Functional Data Analysis" by Bernard Silverman and James Ramsay.
Functional data analysis, which lots of us like to call "FDA", is
about the analysis of information on curves or functions. FDA is a
collection statistical techniques for answering questions like, "What
are the main ways in which the
2009 Apr 03
1
Curve fitting,FDA for biological data
Dear all,
Another newbie just got attracted to this mailing list.
I am a biologist currently working my way through R, had sort play around with python earlier this year.
I have some data exhibiting periodicity ** my data consists of peaks and valleys, with peaks arising due to the presence of a repetitive structural unit,** with x being a reference grid (position along a chromosome) and y
2012 May 17
0
new version of fda fixes bug in pca.fd and supports library(Matrix)
Hello, All:
fda_2.2.8 (functional data analysis) is now available on CRAN. This
revision includes the following improvements:
1. A bug in pca.fd has been fixed.
2. Many functions have a new argument "returnMatrix", which if
TRUE allows the function to use the sparse matrix representations in
library(Matrix). This should allow users to solve some larger
2008 Dec 16
2
"could not find function" error in "R CMD check"
Hi, All:
What might cause "R CMD check" to report, "could not find
function" for a function that has long been in the 'fda' package?
Both Jim Ramsay in Ottawa, Canada, and I in San Jose, CA, get this
same error. I replicated it with a fresh, anonymous checkout from
R-Forge (svn checkout svn://svn.r-forge.r-project.org/svnroot/fda).
With this, I did
2020 Nov 10
1
one thing to check
Hi, Jim:
Could you please look at svd2.Rd and see what it says? It may give
an example, where it gave a better answer than svd -- i.e., a marginal
case, where svd2 honestly gave a better answer than svd.
If we find -- either in svd2.Rd or in one of the revdepchecks -- an
example where svd2 gives a demonstrably different answer, we need to
consider what to do about that.
1.
2008 Sep 18
2
How to find a shift between two curves or data sets
Hello,
I have a issue here!
I need to find the offset or shift between two data sets.
Each data set does not start nor end at the same time and dont even have
the same sampling interval (which by the way isn't constant in any of
the data set).
It must be known that the data expressed in both the data set are
comming from the same sensor so they should be the same!
What I am looking for
2011 Nov 18
0
Predicting response from new curves using fda package
Basically all I want to do is predict a scalar response using some
curves. I've got as far as doing a regression (using fRegress from the
fda package) but have no idea how to apply the results to a NEW set of
curves (for prediction).
I have N=536 curves, and 536 scalar responses. Here's what I've done so far:
* I've created a basis for the curves.
* I've created a
2009 Mar 05
0
predict.fda - NAs are not allowed in subscripted assignments
Dear R users,
I'm trying to perform flexible discriminant analysis (fda) with
method bruto.
I applied the fda function on my training data:
bruto.fda <- fda
(fda.formula,data=train.data)
where fda.formula is: PRES ~ VA_D123 + VA_D124 +
VA_D127 + VA_DARU + VA_DCAN + VA_DFON +
VA_DLAP + VA_DRID + VA_DRIR +
VA_VVEG + VA_WDIN + VA_DIF3 +
VA_DIF4 + VA_DIF5 + VA_CAAC + VA_CABC +
2020 Jan 23
2
matplot.Date & matplot.POSIXct
Hello, All:
????? Roughly a decade ago, I added "matplot.Date" and
"matplot.POSIXct" to the "fda" package, so we could get reasonable
labeling of the horizontal axis when "x" was class "Date" or "POSIXct".?
I also added a local version of "matplot.default" that just changes the
defaults for "xlab" and
2013 Apr 28
0
Positive Smoothing in fda package
Dear all,
I'm trying to build some fda objects using smooth.pos() from fda package.
Here is what I try:
>X <-c(0.4541139, 0.4802537, 0.5091228, 0.3894931, 2.1512258,
>7.9301281, 62.3876109, 54.1168247, 67.8769904, 91.0670615, 20.0682440)
>basis <- create.bspline.basis(c(-100, 100), 7, 5)
>MDA.fdPar <- fdPar(basis, 2, 0.01)
>MDA.fda.joint <-
2007 Oct 08
2
R and FDA trials
Yesterday I just noticed the new document on R and regulatory aspects
for biomedical research posted at
http://www.r-project.org/doc/R-FDA.pdf
Coming from an institution that performs a large number of clinical
trials for FDA and being an advocate of R myself, I have found that
the following issues usually come up when discussing the use of R for
FDA trials:
1. Most FDA submissions come down to
2009 Jan 11
2
R, clinical trials and the FDA
I hope that Marc doesn't mind, but I felt that part of his recent post
was important enough to deserve it's own subject line rather then
being lost in a 60-msg-long thread...
On Sun, Jan 11, 2009 at 10:08 AM, Marc Schwartz
<marc_schwartz at comcast.net> wrote:
...
I strongly believe that the comments regarding R and the FDA are overly
negative and pessimistic.
The hurdles to
2001 Oct 15
0
predict.fda difficulties
Dear Dr Hornik / R help list,
I am using the mda package and in particular the fda routine to classify a
set of 162 neurons falling in to 11 neuronal cell types according to 17
morphological variables. I would like to use a cross-validation approach in
which I split the data, train with one part amd then test the predictive
accuracy of the discriminant functions with the remaining part. However
2012 Jan 16
0
FDA predict problem
Hello R help list,
I am using the mda package and in particular the fda routine to classify a
set of 4409 trips.
I preformed a flexible discriminant analysis (FDA) using a set of 148
trips. A total of 36 predictors were considered. the resulting FDA rule was
applied to the 4409 trips and for the same predictors in order to predict
to which group the trip will belong. A consistent error is
2007 Jun 15
0
registration density profiles : FDA
Hello,
I would like to use fda library to compare sampled curves that
are density profiles. But I encounter some problems to register my data :
I know that I must use a registration function to align functions in
order to have important features found in each curve occur at roughly
the same argument value, prior to do subsequent analysis ( PCA and
cluster analysis). But I do not
2008 Nov 07
1
Problems with packages fda and splines (PR#13263)
Full_Name: David D Degras
Version: 2.8.0
OS: Mac OS X
Submission from: (NULL) (128.135.239.11)
I have recently installed the version 2.8.0 of R along with package fda (v
2.0.2)
and its dependencies (including package splines v. 2.8.0).
Here are my problems:
1) The package splines should feature functions such a predict.bs,
predict.bSpline and such and it does not! I can make calls to bs, ns,
2012 May 10
1
fda problems - version correct?
Dear friends - I am trying to understand fda and working with the 2009
book from Springer. I run the scripts directly from a new installed fda
library and include sessionInfo() below. This is from the script
fdarm-ch09.R - I seem to have got not fda_2.2.8 but 2.2.7 - is that
the problem? Where do I get .8 as I just reinstalled? Best wishes
Troels Ring, Nephrology
Aalborg, Denmark
>
2001 Jun 28
0
: k-fold cross validation for fda,mda etc
Hi all,
Has anyone tried to do k-fold cross validation for flexible discriminant
analysis ( mda library), for example, using crossval() in bootstrap?
The problem is that the function crossval() requires a separate matrix
for predictors and another for responses, whereas the function fda(),
using the formula argument only.
Is there another way of doing k-fold cross validation for functions
which
2013 Aug 30
0
Bioinformatics position at FDA-CFSAN (College Park, MD)
The Biostatistics Analytics Team at the FDA Center for Food Safety and Applied Nutrition seeks an MS/PhD in computer science (or related field) with experience in bioinformatics. The Analytics Team is responsible for computational support for projects involving large chemical and microbial hazard data sets, including bioinformatic and statistical analysis of bacterial genomic data for foodborne