similar to: Attached file following download failure

Hello, I'm having difficulty passing an object name to a lapply function. Can somebody tell me the trick to make this work? #Works T13702 <- TRACKDATA[["13702.xls"]][["data"]] min(unlist(lapply(list(T13702), function(x) mdy.date(x[1, 2], x[1, 1], x[1, 3])))) 16553 #Works d<-2 assign(paste("T",substr(names(TRACKDATA)[d],1,(nchar(names(TRACKDATA)[d]

Hello, Might anyone know how to conduct Wald-type F-tests of the fixed effects estimated by glmmPQL? I see this implemented in SAS (GLIMMIX), and have seen it recommended in user group discussions, but haven't come across any code to accomplish it. I understand the anova function treats a glmmPQL fit as an lme fit, with the test assumptions based on maximum likelihood, which is inappropriate

You can test if the problem is accumulation in memory registers, which is certainly what this sounds like. Just do a loop over a reasonably small number of iterations and store or print the time between each iteration. If memory accumulation it will run optimally for the first few iterations, after which the time will increase noticeably (essentially exponentially, hence ultimately freezes up). If

I tried to use calcMin with a function that uses a number of ... arguments (all args from resid on) besides the vector of parameters being fit. Same idea as optim, nlm, nlminb for which this form of ... syntax works. But with calcMin I get an error regarding unused arguments. No partial matches to previous arguments that I can see. Anybody know the reason or fix for this?

Hi, I have been working with R for the last year and using the UKFSST package to look at satellite tag track data and SST information. Fpr those not familiar, the package uses the positions estimated by the satellite tags themselves and the associated SST data from servers (in this case, from the University of Hawaii and the NOAA Coastwatch website) for the time preiod to estimate a reasonable

Hi, I am having problems using .First() with the Mac OS X gui version of R 2.7.2 (under OS X 10.5.5); .First is ignored on startup. .First() does work in the command-line version of R under Mac OS X but my specific task requires the gui version. I can find no reference to this issue in the Mac OS X FAQ or in other manuals, does anyone have a solution for this? Thanks, Ian -- Ian Jonsen

Hi everyone, I have two questions: I would like to get confidence intervals on the coefficients derived from the optim() function. I apply optim() to a given function f > res <- optim(c(0.08,0.04,1.),f,NULL,method="L-BFGS-B",lower=c(0.,0.,0.)) And I would like to get the p-value and confidence intervals associated with > res$par My second question deals with error message. I

I'm looking for an optimal approach to access Oracle databases via RWeb applications. I'm new to R but familiar with programming functions and web pages for the S+ Statserver. I'm now going through the motions of migrating S+/Statserver applications to R/RWeb as a feasability exercise. I can access databases using ODBC directly in R or S, and using Statserver, but I have not succeeded

Had centos 4.1 set up and running with X. Had to replace the monitor to an Acer LCD monitor (model AL1714). When I try to reconfigure X, "system-config-display" seems ok going through the first stage of detecting the graphics card but then returns a floating "Input not supported" message to the screen and nothing happens afterward. Any hints on solving this issue will be

Dear R-users, I haven't found a way in the searchable archive to overplot a contour (lines) over a surface. I have a (n,m) matrix that represents sea surface temperature that I have plotted using image.plot(), filled.contour() or image(). I would like to overplot this image with some contour lines of mixed layer depth values(same size matrix). How can I do this? Any help is appreciated,

Hi Everyone, I have updated my R version from 2.7 to 2.8 (patch) and since then I can not open HDF5 files that I saved previously with the command hdf5save from the hdf5 library. As anyone had that problem yet? Any help would be appreciated. Thanks Emmanuel ------------------------------------------- Dr. Emmanuel Devred Bedford Institute of Oceanography, 1 Challenger Drive, Dartmouth, Nova

I have Samba 2.2.3a running on Tru64 Unix v4.0f (?) I have Win NT4.0 (sp6a) as our local PC OS. I have created a Samba password file for users. I've tried several permutations, but currently I have security = user encrypt passwords = yes unix password sync = yes username map = /../../../usermap.txt I also have standard password encryption on the NT side, i.e. not plaintext. If I sync

> structSSM Is no longer part of KFAS. All you needed to do was: library(KFAS) ?KFAS and you would have seen that if you went to the index. A structural state space model is now built up from its components, much like in LM. Look at; ?SSModel -Roy > On Jul 29, 2017, at 9:26 PM, Staff <rbertematti at gmail.com> wrote: > > I found an example at >

I found an example at http://www.bearcave.com/finance/random_r_hacks/kalman_smooth.html shown below. But it seems the structSSM function has been removed from KFAS library so it won't run. Does anyone know how to fix the code so that it runs? library(KFAS) library(tseries) library(timeSeries) library(zoo) library(quantmod) getDailyPrices = function( tickerSym, startDate, endDate ) {

On 2017-07-29 11:26 PM, Staff wrote: > I found an example at > http://www.bearcave.com/finance/random_r_hacks/kalman_smooth.html That example is signed by "Ian Kaplan". There's a box at the bottom of the page for you to email him. > shown > below. But it seems the structSSM function has been removed from KFAS > library or it never was part of

Dear All, I am trying to model the habitat mapping of 4 sharks species and my data are zero inflated and positively skewed. The zero percentages in my data vary between 56-77%. I did some tests fitting GAMs with negative binomial family (with theta between 1-10). Is this the best way to go? Some people have used VGAM (with zero inflated negative binomial) but my concern is that using the VGAM

If I wanted to fit a logit model and account for clustering of observations, I would do something like: library(Design) f <- lrm(Y1 ~ X1 + X2, x=TRUE, y=TRUE, data=d) g <- robcov(f, d$st.year) What would I do if I wanted to do the same thing with a probit model? ?robcov says the input model must come from the Design package, but the Design package appears not to do probit? Thanks very

CentOS Errata and Bugfix Advisory 2010:0708 Upstream details at : https://rhn.redhat.com/errata/RHBA-2010-0708.html The following updated files have been uploaded and are currently syncing to the mirrors: ( md5sum Filename ) i386: a627871ba4ec41f8c41cf870706c64ca openais-0.80.6-16.el5_5.9.i386.rpm 56fe1ec7d352ff0beba6025540dc66ed openais-devel-0.80.6-16.el5_5.9.i386.rpm Source:

CentOS Errata and Bugfix Advisory 2010:0708 Upstream details at : https://rhn.redhat.com/errata/RHBA-2010-0708.html The following updated files have been uploaded and are currently syncing to the mirrors: ( md5sum Filename ) x86_64: 2d2d94c9d29772dda82e85cc52eb3241 openais-0.80.6-16.el5_5.9.x86_64.rpm 01c8f547a3e2264bbb928964d278ecb4 openais-devel-0.80.6-16.el5_5.9.i386.rpm

CentOS Errata and Bugfix Advisory 2012:0708 Upstream details at : https://rhn.redhat.com/errata/RHBA-2012-0708.html The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) i386: 315bb942e6e34cb73a06314d7391620440294150be80891806f0295745fbca8d cyrus-imapd-2.3.16-6.el6_2.5.i686.rpm