similar to: Correlation matrix removing insignificant R values

HI, I am not sure about the ?update() method. You could try this: set.seed(232) mat1<-matrix(sample(1:100,80,replace=TRUE),ncol=8) #with 8 columns dat1<-data.frame(mat1) ?names(dat1)[1]<-"Y" ?fit<-lm(Y~.,data=dat1) res<-coef(summary(fit)) ?res #???????????????? Estimate Std. Error???? t value?? Pr(>|t|) #(Intercept) 143.763081344 21.9902865? 6.53757200 0.02260698

Hi list, I am building a regression model with categorical predictor variable coded by treatment contrasts. The summary of the regression model shows that some levels are significant while others are not. The significant ones show that they are statistically significant from the basis factor (at level 0). How do we generally deal with those insignificant levels? If they are used for

Hi, I am trying to specify a multinomial logit model using the multinom function from the nnet package. Now I add another independent variable and it halves the AIC as given by summary(multinom()). But when I call Anova(multinom()) from the car package, it tells me that this added variable is insignificant (Pr(>Chisq)=0.39). Thus, the improved AIC suggests to keep the variable but the Anova

I posted this question way down at teh end of another thread realted to an error in step, but that was stupid since it really is another matter altogether. I should have posted it separately, as I have now done. The code below creates a data.frame comprising three marginally noisy surfaces. The code below (including a fix courtesy of David Winsemius that avoids a step function error through use

I am wondering if in a block experimental design (ex. triple square lattice), the block effect was not significant, is it all right not to include the block effect in an empirical model (even though the sampling was done from different blocks)? Or we are forced to control for the block effect in block designs anyway? Thanks, Julia

Dear R community, I compare mean monthly body temperature between two age classes of turtles overwintering underground. lm(body_tem ~ Month*Year*Age_Class) TukeyHSD(aov(body_tem ~ Month*Year*Age_Class, a)) The Tukey HSD as well as the planned contrasts method showed significant differences between the two age classes, but insignificant differences between the two age classes at the same

Hello, I ran two lme analyses and got expected results. However, I saw something suspicious regarding p-level for fixed effect. Models are the same, only experimental designs differ and, of course, subjects. I am aware that I could done nesting Subjects within Experiments, but it is expected to have much slower RT (reaction time) in the second experiment, since the task is more complex, so it

On Aug 24, 2020, at 6:47 PM, Leonard Chan via llvm-dev <llvm-dev at lists.llvm.org> wrote: > Thanks for the responses! I’m going to see if I can summarize the concerns and ideas people have (for my own clarity) and see where we can go on from there. Folks seem to be on board with the idea of introducing some new IR entity that (after linking) *could* be a reference into the PLT, but some

> -----Original Message----- > From: llvm-dev <llvm-dev-bounces at lists.llvm.org> On Behalf Of Fangrui > Song via llvm-dev > Sent: Thursday, August 20, 2020 10:18 PM > To: Leonard Chan <leonardchan at google.com> > Cc: llvm-dev <llvm-dev at lists.llvm.org> > Subject: [EXT] Re: [llvm-dev] [RFC][LLVM] New Constant type for > representing function PLT

[this address is IPv6-only, and usually doesn't work, so don't.] There's another patch I have up my sleeve, that it would be nice if I didn't need to apply it by hand. Look: vorbis-tools/oggenc/encode.c --- encode.c-DIST Fri Jul 19 08:35:48 2002 +++ encode.c Fri Jan 9 07:46:27 2004 @@ -346,7 +342,7 @@ seconds = (int)(remain_time - (double)((int)remain_time/60)*60);

Hi, After a couple of unfortunate hardware failures and some not insignificant amount of work to rebuild two of my DCs, I am trying to check that things are now working correctly. Looking at the wiki page on FSMO ownership, one suggestion is to run the following ldbsearch command.. but this doesn't work for me. root at dc2:~# ldbsearch --cross-ncs -H /var/lib/samba/private/sam.ldb -b

Hi Cuong, > I am trying to avoid using stack memory (or mutable variable is the term > used in the tutorial). I am also trying to optimize the code as much as I > can before using optimizer passes such as mem2reg (to reduce the compile > time as well). I don't think there is much point in avoiding stack variables (using them makes your life much simpler -> easier to have your

I am really quite puzzled as to why I have to edit smb.conf every time I want to print to the FreeBSD machine from Win2K. (Running FBSD 4.7, samba 2.2.7 and cups 1.1.15.1_4. When I log onto FBSD with username, password, I see the folders for the printers, home, tmp, etc. but no printer. (Only 1 installed - Epson Stylus Color 900). I can access the shares on FBSD from Win2k, but there is no

Hello folks, i do not get access to a physical disk with xen. I would like to install windows xp as hvm to the physical partition /dev/sdb1. I partioned the disk with cfdisk. Filesystem type is Linux (83). In my eyes the filesystem using hvm is insignificant(?). I tried the following configurations; probably a lot more than this. #disk = [ ''phy:hda1,hda1,r'' ] (comment from

Up to now, the tests have been running with whitespace stripped out. Newlines and tabs are insignificant in HTML, so I figured why bother with them? Now I realize why: they''re significant in pre tags and they also make your code look pretty! I''ve been working to get SRC output to roughly match Tetxile2''s as far as tabs and newlines go. It''s tough and

Hello, I am a new R user and I am trying to estimate some generalized linear models (glm). I am trying to compare a model with a gaussian distribution and an identity link function, and a poisson model with a log link function. My problem is that while the gaussian model has significantly lower (i.e. "better") AIC (Akaike Information Criterion) most of the coefficients are not

Hello - I am fairly new to R, (i.e., ability to create functions/write programs insignificant) and was wondering if there might be a convenient way to model the following: I want to fit a gaussian glm to grouped data, while allowing for unequal variances in each of the groups. More specifically, my data set looks something like this: ---------------- data group 1 76 1 2 82 1 3

Ive recently installed dovecot as a replacement for my uw-imap server. Ive noticed a few error messages in the log file, although in operation ive seen no problems from my mail client. The errors are: pop3(admin): Dec 26 21:19:37 Error: Error indexing mbox file /var/mail/admin: LF not found where expected and pop3-login: Dec 29 14:54:03 Warning: SSL_read() syscall failed: EOF [192.168.7.2]

Thanks for the help. This did solve my problem, and created a little hiccup. Namely, all the users that had email account LOST their mail. I am just starting migrating to this new mail server setup, so mostly just insignificant testing emails. I am sure there is a way to recover the old mails? Doesn't matter, not really much there. -- Sent from: http://dovecot.2317879.n4.nabble.com/

Hello, I'd like to say that it's clear when an independent variable can be ruled out generally speaking; on the other hand in R's AIC with bbmle, if one finds a better AIC value for a model without the given independent variable, versus the same model with, can we say that the independent variable is not likely to be significant(in the ordinary sense!)? That is, having made a lot of