search for: unbalances

Dear community, I'd like to fix a mixed model. I have unbalance data, what should i use: lme in nlme package , or lmer in lme4. Thanks, user at host.com as user at host.com -- View this message in context: http://r.789695.n4.nabble.com/lme-or-lmer-for-unbalance-data-tp4608425.html Sent from the R help mailing list archive at Nabble.com.

Is there any package to balance the unbalance panel data? -- Akhil Dua Mo:+91-7827-662-202 Consultant National Institute of Public Finance and Policy [[alternative HTML version deleted]]

Fixes a regression introduced by d5c1e84b3a130f0 "drm/nouveau: hold mutex while syncing to kernel channel". Cc: stable at vger.kernel.org #3.13 Reported-by: Fengguang Wu <fengguang.wu at intel.com> Signed-off-by: Maarten Lankhorst <maarten.lankhorst at canonical.com> --- diff --git a/drivers/gpu/drm/nouveau/nouveau_display.c b/drivers/gpu/drm/nouveau/nouveau_display.c index

Hi ALL I want to know how to calculate estimated Variance Components for unbalance ANOVA. Can anybody please provide me the formula? Thanks in advance! WeiQiang [[alternative HTML version deleted]]

Dear R users, I'd like to ask u whether you know how to sort out the following: I'm trying to reproduce a dataset of clusters, and for that I need to build up a cluster index (inside a function) using the command "replicate" as follows: dataset<- function( clusters=100, cluster.size=50, outcome.mean=list(mean=3, sd=1), outcome.var=list(mean=0, sd=1), treat=1, unbal =

syslinux at zytor.com Hi all i crosscompiled tftp-hpa and running on MPC5200 target. when i am updating new file into tftp server i am unbale to give execute permission to that file. My inetd.conf contains the follwing line. tftp dgram udp wait root /sbin/in.tftpd in.tftpd -c -p -U 000 Any clue. thanks and regards srinivasa reddy

I've got an interesting problem. I just recently upgraded an asterisk server from a may 9th cvs to a 9/29 cvs. When I did the upgrade I was unable to place calls through the PRI. The calls would process fine, but the provider would reject the call and send me a cause 69 or 77 failure code "Unallocated (unassigned) number". Upon contacting the provider, they told me I was

Dear all I was looking at the aov documentation page and came across the following which seems like a contradiction to me: " This provides a wrapper to |lm| for fitting linear models to balanced or unbalanced experimental designs." (I presume 'This' refers to aov) and "|aov| is designed for balanced designs, and the results can be hard to interpret without

hello guys, I need to do a BLUP in the simplest model y = Xm + Zg + e however I have missing data in the analysis which I can?t consider as 0(zero). So I need to generate the matrix X'Z, Z'X and Z'Z step by step; I can?t use crossprod(x) #neither X'X <- t(x)%*%x because I should skip the elements with missing data in the matrix I?ll try to be more clear, supposing a matrix x

I used pxelinux.0 to boot my kernel, then the kernel began to boot. However, it cannot mount nfs root. I checked the nfs root is exported OK! The last screen is as followed: serial sub-system self-test: passed. internal registers self-test: passed. ROM checksum self-test: passed (0x04f4518b). eepro100.c:v1.09j-t 9/29/99 Donald Becker http://cesdis.gsfc.nasa.gov/linux/dri ver/eepro100.html

Hi, I'm writting an intrinsics for the X86 plateform that replace every 'call' instruction by a 'push ret_addr' followed by a 'jmp func_addr'. I'm doing this in the X86ISelLowering class with a custom inserter. So if I have something like this: 0x0 call foobar 0x1 ... the call will be replaced like this: 0x0 push 0x2 0x1 jmp foobar_addr 0x2 ... This works fine

Hello, I'm posting this to receive some comments/hints about a rather statistical than R-technical question ... . In an anova of a lme factor SSPos11 shows up non-significant, but in the t-test of the summay 2 of the 4 levels (one for constrast) are significant. See below for some truncated output. I realize that the two test are different (F-test/t-test), but I'm looking for for a

.../file/n4077622/Capture.png I would like to know if it's possible to split a single row into two rows when the time frame between "beg" and "end" overlaps midnight. I want to compare the frequency of each activity for each day so a row for a phase that overlaps on two dates unbalances the graphs I create with this data. Ex: >From the original row: http://r.789695.n4.nabble.com/file/n4077622/Capture2.png Note: "phasetime" is only a difftime between "end" and "beg". "phaseno" and "activity" should stay the same for...

Hi, all I have a rather un-ideal dataset that I am trying to work with, and would appreciate any advice you have on the matter. I have 4 years worth of data taken at 3 depth-zones from which samples have been taken at random. I am looking at the abundance of organism A between depth zones and across years, and am interested in the possible interaction of organism A distributions shifting

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Regards from Spain. Sorry if my english it's not good enough. I'm bad at it. I'm an user of the Soundhound recognition music for Android. Due to a problem with my smartphone I lost the normal function of it and I had to reinstall the system. After that I can't access the files that that app stores until the ability to connect to the Internet. But I still have the files. I was

Hello, I am progressively getting back to the NHW Project development (but it is not that easy, I am a little depressed currently...). I realize what is needed for the NHW codec is more HF energy preservation, but as all the HF energy seems to require lot of bits, I wanted to select specifically the HF energy around blurred edges, in order not to have edges with aliasing.Is it possible to

Greetings all: Sorry I''ve been a bit behind schedule, I''ve just released XCCS version 0.5.5.2 for both XCCS-VA (virtual appliance) and XCCS-SA (standalone) packages! This is a major upgrade for XCCS-SA, adding a load of new features that debuted in XCCS-VA. For XCCS-VA, this is mostly a bug fix release to to correct the host evacuate and shutdown functions for an

Hi, This might be a minor bug, or it could be that I'm just mis-using the tools (again). If you modify the example for model.tables to introduce an NA, N <- c(0,1,0,1,1,1,0,0,0,1,1,0,1,1,0,0,1,0,1,0,1,1,0,0) P <- c(1,1,0,0,0,1,0,1,1,1,0,0,0,1,0,1,1,0,0,1,0,1,1,0) K <- c(1,0,0,1,0,1,1,0,0,1,0,1,0,1,1,0,0,0,1,1,1,0,1,0) yield <-

Just browsing the documentation, and searching the list came up short... I have some unbalance data and was wondering if, in a "0" v "1" classification forest, if these options might yield better predictions when the proportion of one class is low (less than 10% in a sample of 2,000 observations). Not sure how to specify these terms... from the docs, we have: classwt: Priors