similar to: FDA and ICH Compliance of R

I am a beginner in R with a background in SAS. Are there built-in R methods of reading dates for calculating elapsed days between two calendar dates? If so, are there any examples I can browse? Thanks in anticipation. John Byrne. Lecturer in Information Systems. Australian Catholic University.

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

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

Dear All, I will soon be working with NIH and possibly FDA. Will I be able to use R or will I be forced to use SAS? Cheers, Federico -- Federico C. F. Calboli Department of Epidemiology and Public Health Imperial College, St. Mary's Campus Norfolk Place, London W2 1PG Tel +44 (0)20 75941602 Fax +44 (0)20 75943193 f.calboli [.a.t] imperial.ac.uk f.calboli [.a.t] gmail.com

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,

Dear friends - We have 25 rats, 14 of these subjected to partial removal of kidney tissue, 11 to sham operation, and then followed for 6 weeks. So far we have data on 26 urine metabolites measured by NMR 7 times during the observation. I have smoothed the measurements by b.splines in fda including a roughness penalty, and inspecting the mean curves for nephrectomized and sham animals indicate

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 >

Dear all, I have a dataset Exp name id x1 x2 x3 x4 x5 1 a 1 23 24 23 22 30 1 b 2 25 26 27 23 24 1 c 3 32 19 23 25 28 2 a 4 28 32 24 26 27 2 b 5 23 24 25 26 28 2 c 6 23 31 30 38 23 3 a 7 24 25 31 27 29 3 b 8 28 25 26 32 28 3 c 9 21 31 28 23 29 where each name a,b and c is repeated three times. Now I want to calculate the the averages of

fda 1.2.3 ======================== Version 1.2.3 of the fda package has just been released. This version adds to previous versions a script to create most of the figures of chapter 6 of "Applied Functional Data Analysis" by Ramsay and Silverman. Other changes offer simpler calls to time warping / registration and functional principal component functions. The fda package supports the

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

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

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 <-

Dear all, I have following data called "paitent" day patient1 patient4 patient5 patient6 0 -0.27842688 -0.04080808 -0.41948398 -0.04508318 56 -0.22275425 -0.01767067 -0.30977249 -0.03168185 112 -0.08217659 -0.26209243 -0.29141451 -0.09876170 252 0.08044537 -0.26701769 0.05727087 -0.09663701 where each patient have response values at four time points. I want to

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

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 +

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

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

UseR's- As this is slightly off-topic I will limit the discussion to only the major points; for further information feel free to reply off-line. DIA and FDA are hosting a forum to discuss (as per the Goal of the announcement--see link below) "a vendor-neutral software product to support validated analytic procedures ("tools") and make tool development a collaborative effort

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

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