similar to: how do remove those predictor which have p value greater than 0.05 in GLM?

Hi Louis, It's simple to run a r script from the excel spreadsheet. Just write your code, source("C:\\Quantil Aplicativos\\Genercauca\\BackwardSelectionNC.r"), into a cell of a workingsheet. Then right-click the cell and select "run code" in the pop-up menu. Hope this will help you. Best, Bernard -----????----- ???: r-help-bounces at r-project.org [mailto:r-help-bounces

R helpers, I am working with the R program performing multivariate regression trees (MRT). I have a matrix with species and environmental variables saved as a CSV file (sprot_matrix.csv), I have 42 species and 8 environmental variables (SECCHI+PH+TA+PTOT+NTOT+CHLA+AREA+ MEANDEP) for 104 samples Title SpA SpB SpC SpD Varible1 Variable2 Variable3 Sample1 Sample 2

Dear all, I have been stuck on this problem, am rather struggling and would appreciate some advice if anyone can help. I apologise if this is a bit long-winded, but I've tried to limit it to the bare essentials, but don't know how to make it more generic! I have some slightly odd real world data that I'm looking at representing number of positive diagnoses for different diseases,

Hi, after looking around I was not able to get info about these two questions: 1. Is there a function to have a "jackknifed corrected var/cov estimate" (as described in MacKinnon and White 1985) in a standard OLS regression? 2. Does R possess a LAD (Least Absolute Deviation) regression function? Any help? Thanks -- ======================================================== Angelo

Hi, I'm using the ineq package to calculate some concentration measures (Gini, Herfindal, ...) and I was wondering if there's around also a function to calculate standard error on these measures. If not, is anybody aware of where I can find a reference on this point? Thanks. -- ======================================================== Angelo Secchi PGP Key ID:EA280337

Hi, I'm doing robust regression with the following command rlm(dip~ind1+ind2-1,method="M",psi=psi,maxit=1000,acc=1e-15) now when I ask for a summary summary(rlm(dip~ind1+ind2-1,method="M",psi=psi,maxit=1000,acc=1e-15)) I get Coefficients: Value Std. Error t value ind1 -0.0377 0.0000 -24203.1415 ind2 1.0370 0.0000 668735.7195 taht is

AFAIK most model fitting techniques will only deal with additive errors, not multiplicative ones. You might want to try fitting: log(y-x) = a*x + e which is linear. Andy > From: Angelo Secchi > > Hi, > is there a way in R to fit a non linear model like > > y=x+exp(a*x)*eps > > where a is the parameter and eps is the error term? > Thanks > Angelo > >

Hi, I'm trying to write a simple function like case1 <- function (m, cov, Q, R) { theta <- (acos(R/sqrt(Q^3))) beta <- (-2)*sqrt(Q)*cos(theta/3)+m[1]/3 rho1 <- (-2)*sqrt(Q)*cos((theta+2*pi)/3)+m[1]/3 rho2 <- (-2)*sqrt(Q)*cos((theta-2*pi)/3)+m[1]/3 stderrb <- deltamethod( ~(-2)*sqrt(Q)*cos(theta/3)+x1/3,m,cov) stderrr1 <- deltamethod(

Hi there, it's quite a week that I'm trying hard on this . To make it simple: - ubuntu 12.04 - samba 3.6.3 I'm trying to mount with CIFS the following corporate share: mount -t cifs //cop.gen.net/fsgruppo/DISCO_GEN/Flussi/AG1 /mnt/ -o username=johndoe Mounting this returns a "mount error(115): Operation now in progress" I can mount directly the share which is "

Hi Guys, I have Spikko setup as provider of DID and outbound routes and I can make calls out but no inbound calls via DID can be made. I did a sip debug which is reported below. I never receive the call though, I have a catch all in my inbound routes and it doesn't hit my context at all or not sip invite comes in: FreePBX: Trunk Name: *Spikko* Peer Detail *username=MyUsername*

Hi, How can I define a new psi function in the rlm comand? In particular I would like to implement the case for \rho(u)=0.5*(u^2) and \psi(u)=u in order to assume normally distributed errors. Any help? Thanks -- ======================================================== Angelo Secchi PGP Key ID:EA280337

Hi List, I have a problem with auth for just one user: dovecot: Sep 30 09:56:16 Info: auth(default): new auth connection: pid=3809 dovecot: Sep 30 09:56:17 Info: auth(default): client in: AUTH 1 PLAIN service=IMAP secured lip=127.0.0.1 rip=127.0.0.1 resp=AGoucnVpc0BtZXJreC12ZXJrZXJrLm5sAGJsb2VtMDEh dovecot: Sep 30 09:56:17 Info: auth(default): pam(j.ruis at

Hi all, I wonder if anyone can help, I have a dataframe with columns for... 'I.D' 'age' 'mothers I.D' 01 5 03 02 6 06 03 16 NA 04 8 06 05 3 NA 06 17 NA I need to create a new column for 'mothers age' which puts the age of the individual with 'mothers i.d' into the row for her offspring (so

Hello everyone, I have been doing a binary classification using random forest from the library "randomForest". One of the predictors is a factor variable, which is known to be highly related to the binary response I am trying to predict. Other 80 predictors are numeric. Totally I have 44 subjects. However, the random forest returns the factor variable as the least important one based on

Hi all, I am applying a Presence/absence Generalized additive model to model the distribution of marine algae species in R. I have found that log transforming the environmental variables improves the explained deviance of the model considerably. While log transforming is common practice in GLM, I have been unable to find any papers where this is performed in a GAM. Im wondering whether this

I?m running a model on animal behavior in response to shipping. In most cases, there is only one ship in the study area at one time. Ship length, distance from the animals, speed, angle from animals, and ship direction (as east/west bound) are among shipping-related covariates (with multiple interactions). The tricky part is that sometimes there are 2 ships in the area. I could add all the same

Hi Michael, > -----Original Message----- > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Michael > Friendly > Sent: Thursday, June 29, 2017 9:04 AM > To: Beno?t PELE <benoit.pele at acoss.fr>; r-help at r-project.org > Subject: Re: [R] Help : glm p-values for a factor predictor > > On 6/29/17 11:13 AM, Beno?t PELE wrote: > > My question is

On 9 May 2018 at 19:48, Dávid Bolvanský via llvm-dev <llvm-dev at lists.llvm.org> wrote: > But a fix needs to be made since branch predictor hints are broken in a > valid C++20 code: They don't affect performance in the expected way, but they also don't actually break code. I'm not saying it's not a bug, but it's certainly not on the same level as a miscompilation.

On 04 Jan 2011, at 08:30, Jakob Stoklund Olesen wrote: > I noticed that we generate code like this for i386 PIC: > > calll L0$pb > L0$pb: > popl %eax > movl %eax, -24(%ebp) ## 4-byte Spill > > I worry that this defeats the return address prediction for returns > in the function because calls and returns no longer are matched. According to benchmarks by

Hi, is there a way in R to generate a polynomial spline with multiple predictor variables? I have one response and two predictors and I'm trying to fit a spline model for this... Please cc me on the reply.. Thanks, nirmal