similar to: glm vs lm

Hello, Is there any way we convert SAS dataset into R dataset? Kindest Regards, Peppy Adi-Purnomo ------ Peppy Adi-Purnomo Energy Market Analyst Energy Link Ltd Dunedin - New Zealand Ph.: +64 3 479 2475 Fax: +64 3 477 8424 Email: s.adi.purnomo at energylink.co.nz www.EnergyLink.co.nz -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hello, I am wondering if someone can direct me to the syntax of the Generalised Additive Model in R? In Splus this is gam(formula, ... inputs would be pretty much the same as glm I suspect..) Any response on that (or what package should I grap) would be appreciated very much. Thanks, Peppy Adi-Purnomo -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help

Hi, Suppose I have a by b matrix which a and b are big numbers. How can I convert this matrix into a vector with length of a*b ? By column-wise or row-wise doesnt matter. My R version is 0.64.2. Kindest Regards, Peppy Adi-Purnomo ------- Stephanus (Peppy) Adi-Purnomo Energy Market Analyst - Energy Link Ltd - Dunedin email: s.adi.purnomo at energylink.co.nz http://www.energylink.co.nz

Hello, I need to use a procedure in R that similar to lme in Splus.. is this particular procedure has been implemented in the recent version? thanks. Regards, Peppy Adi-Purnomo Energy Market Analyst Energy Link Ltd Telp.: +64 3 479 2475 Fax. : +64 3 477 8463 www.energylink.co.nz -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Dear Help desk, I have a model that I believe to be non linear. The relationship is something like: Response = Var1 + Var1^2 + Var1^3 Can I examine this relationship using glm or lm? However, glm or lm gives out pnly 1 coeficient for the model which is on Var1, unless I created some dummy var like (Var2 = Var1^2 and Var3 = Var1^3). Is there any other function handling this relationship?

Dear Help desk, I have a model that I believe to be non linear. The relationship is something like: Response = Var1 + Var1^2 + Var1^3 Can I examine this relationship using glm or lm? However, glm or lm gives out pnly 1 coeficient for the model which is on Var1, unless I created some dummy var like (Var2 = Var1^2 and Var3 = Var1^3). Is there any other function handling this relationship?

Hello, I am wanting to download the recent R update off the web. May I assume confidently that R package from the website is virus free? I apologise if this is a very silly question, I just need to convince myself if the site is very hygiene. Thank you very much, Peppy -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi, > Say we have a large-sized vector of observation A and a time vector with > the same size. The latter vector basically is the time flag when ith > obervation of A occurs, hence A[i] occurs at T[i]. > > I have no trouble with doing: T[A <= 10 | A >=20] for example > > Now, what I am confused: I tried to pull out when the largest value of A > with: > >

hello, I have a very old R version which calculates anova table for a stream of outcomes say: 1,5,4,3,2,4,5,2 which are grouped into 4 blocks, say A,B,C,D, of 2 say namely X,Y What is the command in R 0.64.2 to do this? My very old R command is anova.table but this command is unkown in R 0.64.2 Thanks, Peppy -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help

Hello, I want to update my new R version. Now something has change is that I am now in Windows 2000. Which one should I use whether the R for window 9x or Win NT? Thanks a lot, Peppy -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

Hello again, If I want to have a set of add-ons functions (say: nlme and tseries) loaded to R everytime I run R, do I put command: library(nlme) library(tseries) in the rw1021/etc/Rprofile file? thanks, Peppy -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Hi there, I have R 0.64.2. I wonder if this R has acf function to calculate autocorrelation? since the help(acf) doesnt seem to be able to help me. thanks, Peppy -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the

On Fri, May 12, 2017 at 8:18 AM, ken <gebser at mousecar.com> wrote: > Currently I don't actually need more speed. This is already a fairly peppy > laptop... like right now the load is about 2%. If it was any lower, I could > almost turn this machine off and still run everything. :) Ah but > seriously, I'd rather have the speed cranked down and save the battery. >

Hi Folks, I've just come across a kind of problem which leads me to wonder how to approach it in R. Basically, each a set of items is subjected to a series of "impacts" until it eventually "fails". The "force" of each impact would depend on covariates X,Y say; but as a result of preceding impacts an item would be expected to have a "cumulative

Hi there, I am trying to fit a generalised linear model to some loan application and default data. The purpose of this is to eventually work out the probability an applicant will default. However, R seems to crash or die when I run "glm" on anything greater than a 5-way saturated model for my data. My first question: is the best way to fit a generalised linear model in R to fit the

Hi R-help, Is there such a thing as a function in R for fitting a GLM where the response is distributed as a Beta distribution? In my case, the response variable is a percentage ([0,1] and continuous). The current glm() function in R doesn't include the Beta distribution. Thank you for any help on this topic. Sincerely, Sharon K?hlmann

I am embarrassed to have to ask this but can anyone tell me of a Tukey multiple comparisons procedure available for R? I have looked through the search page, through the FAQ, and in the index of V&R (1999), and I still can't find such a thing. I see there is a ptukey function and a qtukey function but that is as far as I got. Do I need to roll my own? -- Douglas Bates

This is a question about removing the intercept in a binomial glm() model with categorical predictors. V&R (3rd Ed. Ch7) and Chambers & Hastie (1993) were very helpful but I wasn't sure I got all the answers. In a simplistic example suppose I want to explore how disability (3 levels, profound, severe, and mild) affects the dichotomized outcome. The glm1 model (see below) is

Hello, I am wondering if there is an easy way to combine loess() with glm() to produce a locally fitted generalised regression. I have a data set of about 5,000 observations and 5 explanatory variables, with a binary outcome. One of the explanatory variables (lets call it X) is much more predictive than the others. A single glm() regression over the entire data set produces rather poor results,

Dear list, This is a question about overdispersion and the ML estimates of the parameters returned by the glm.poisson.disp (L. Scrucca) and glm.nb (Venables and Ripley) functions. Both appear to assume a negative binomial distribution for the response variable. Paul and Banerjee (1998) developed C(alpha) tests for "interaction and main effects, in an unbalanced two-way layout of counts