similar to: Fwd: Re: Wavelet reconstruction

Dear R-List, I tried to fit a partial credit model using the "pcmdat" from eRm-package comparing the results of mirt, eRm, ltm and winsteps. The results where quite different, though. I cannot figure out what went wrong and I do not know which result I can rely on. This is what I did in R library(mirt) #load(file="u3.RData")

I have data on the proportion of clutches experiencing different fates (e.g., 4 different sources of mortality) for 5 months . I need to test 1) if the overall proportion of these different fates is different over the entire study and 2) to see if there are monthly differences within (and among) fate types. Thus, I am pretty sure this is an RM analysis -( I measure the same quadrats each month).

Dear List members, I would like to ask for advise on quantile regression in R. I am trying to perform an analysis of a relationship between species abundance and its habitat requirements - the habitat requirements are, however, codes - 0,1,2,3... where 0<1<2<3 and the scale is linear - so I would be happy to treat them as continuos The analysis of the data somehow does not work, I am

Hello All, Once again thanks for all of the help to date. I am climbing my R learning curve. I've got a few more questions that I hope I can get some guidance on though. I am not sure whether the etiquette is to break up multiple questions or not but I'll keep them together here for now as it may help put the questions in context despite the fact that the post may get a little long.

Dear all: Greetings from Mumbai, India. Reference?R help solution [Rogerio, Thu 16 Nov 2006 - 20:54:25 GMT]. Simonsen, Jensen and Johansen (2002) [arXiv:cond-mat/0202352v1] note "(.wavelet filtered was...) achieved?by first transforming the log-price [...] to the?wavelet-domain, setting all wavelet coefficient corresponding?to scales larger then 1000 trading days to zero, and finally

Hello all, Thanks for all the ideas. I liked the remote to remote idea and have told my guide about it. Anyways, can anybody tell me which files to look into, if I want to look at the code for file reconstruction. I have studied Dr. Tridgell's thesis on the Rsync Algorithm and have understood the working of the algorithm. Now, I am trying to read the code to understand it better. Any help

Hi again, I measured my fragment reconstructions against the compiler output from GCC and well - the new codes perform better, so I brushed up my gcc inline assembler skills and made a port. Code is here: http://torus.untergrund.net/code/mmxfrag.c All routines perform much better now. Inter2 alone got a speedup of factor 5 on Pentium-M. Athlon CPU's execute roughly 3 times faster.

Hello all, I have some trouble in reconstructing a valid expression within a function, here is my question. I am building a function : SUB<-function(DF,subset=TRUE) { #where DF is a data frame, with Var1, Var2, Fact1, Fact2, Fact3 #and subset would be an expression, eg. Fact3 == 1 #in a first time I want to build a subset from DF #I managed to, with an expression like eg. DF$Fact3, # but I

For some reason when I apply a function to a single row in R it works, but when that same row is in a data.frame it does not, see below: apply(dx[954,], 1, query.db) 2571 1092 0.06044147 3890 0.05948577 3273 0.05911261 794 0.05855583 4241 0.05854064 3560 0.05602690 apply(dx[954:955,], 1, query.db) $`2571` numeric(0) $`1194` 908 3754 5119 2835

Hi all, As a molecular biologist by training, I'm fairly new to R (and statistics!), and was hoping for some advice. First of all, I'd like to apologise if my question is more methodological rather than relating to a specific R function. I've done my best to search both in the forum and elsewhere but can't seem to find an answer which works in practice. I am carrying out

Hi R folks, How can I generate the discriment function from lda? I have an unbalanced data set. one class has about 25 entries and another class has about 200 entries. I used lda for classification > z<- lda(V3 ~ V1+V2, data) > z Prior probabilities of groups: 0 1 0.91111111 0.08888889 Group means: V1 V2 0 0.4445161 0.04723951 1 0.4058900

Il 20/04/2018 21:44, Jamie Lawrence ha scritto: > Hello, > > So I have a volume on a gluster install (3.12.5) on which sharding was enabled at some point recently. (Don't know how it happened, it may have been an accidental run of an old script.) So it has been happily sharding behind our backs and it shouldn't have. > > I'd like to turn sharding off and reverse the

Il 22/04/2018 11:39, Gandalf Corvotempesta ha scritto: > Il dom 22 apr 2018, 10:46 Alessandro Briosi <ab1 at metalit.com > <mailto:ab1 at metalit.com>> ha scritto: > > Imho the easiest path would be to turn off sharding on the volume and > simply do a copy of the files (to a different directory, or rename > and > then copy i.e.) > > This

So a stock ovirt with gluster install that uses sharding A. Can't safely have sharding turned off once files are in use B. Can't be expanded with additional bricks Ouch. On April 22, 2018 5:39:20 AM EDT, Gandalf Corvotempesta <gandalf.corvotempesta at gmail.com> wrote: >Il dom 22 apr 2018, 10:46 Alessandro Briosi <ab1 at metalit.com> ha >scritto: > >> Imho

2018-04-23 9:34 GMT+02:00 Alessandro Briosi <ab1 at metalit.com>: > Is it that really so? yes, i've opened a bug asking developers to block removal of sharding when volume has data on it or to write a huge warning message saying that data loss will happen > I thought that sharding was a extended attribute on the files created when > sharding is enabled. > > Turning off

Hi All, Basically, I have an upgrade script for a system that breaks md mirrors and then constructs a chroot from the broken off members (i.e in this case partitions on /dev/sdb) and does the upgrade in this chroot. The end result is that until the reboot applications on this system can remain running while the chroot is being updated (much hand waving at this point). This works fine if LVM

Dear all, in an LDA analysis with n groups n-1 LD functions result. Implicitly this defines an LD fucntion for the last group. Does there exist code already to explictly construct this LD function? Thanks, Stefan

I'm trying to use the randomTF function from package palaeoSig to test the significance of a MAT reconstruction with nine analogs and a WA-PLS reconstruction with four components. I'm probably missing something obvious here but how do I make sure that randomTF is testing the reconstruction based on the desired number of analogs / components? In: fitmap.wapls = WAPLS( lumapspc,

Hi, Is it possible to recreate "smoothed" data sets in R, by performing a PCA and then reconstructing a data set from say the first 2/3 EOFs? I've had a look in the help pages and don't seem to find anything relevant. Thanks in advance, Laura Laura Quinn Institute of Atmospheric Science School of Earth and Environment University of Leeds Leeds LS2 9JT tel: +44 113 343 1596

Il dom 22 apr 2018, 10:46 Alessandro Briosi <ab1 at metalit.com> ha scritto: > Imho the easiest path would be to turn off sharding on the volume and > simply do a copy of the files (to a different directory, or rename and > then copy i.e.) > > This should simply store the files without sharding. > If you turn off sharding on a sharded volume with data in it, all sharded