similar to: open .r files with double-click

Displaying 20 results from an estimated 10000 matches similar to: "open .r files with double-click"

2007 May 31
2
Different fonts on different axes
Hi Folks, How do I get red bold font on my y axis and black standard font on my x axis? plot(runif(10), ylab="Red, Bold?", xlab="Black, standard?") Any pointers or examples would be great. Thanks! Hank Dr. Hank Stevens, Assistant Professor 338 Pearson Hall Botany Department Miami University Oxford, OH 45056 Office: (513) 529-4206 Lab: (513) 529-4262 FAX: (513) 529-4243
2005 Oct 26
2
changing memory limits to speed up lsoda
Hi All, I am running R 2.2.0 on Mac OS 10.4.2, dual G5 processors with 8 Gig RAM. I am running a simulation with lsoda that requires ~378 s to complete one set of time intervals. I need to optimize the parameters, and so need to considerably speed up the simulation. I have tried to figure out how to change the appropriate memory allocation and have search R help and Introductory
2006 Jun 14
3
appending
All, In the function below I have 24 individuals and 6 calculations per individual. The 6 calculations are collected each time in a 1:24 loop when calculating "delta". I'd like to collect all 144 = 24*6 calculations in one vector ("delta.patient.comb"). The function works as is via indexing, but is there an easier way to collect the measurements via appendinng the 6
2008 Aug 12
1
tilde on a spanish keyboard?
I was trying to help someone who used a spanish keyboard on a PC running Windows. he discovered that he had no tilde key. Does anyone know of any simple work-arounds? Thanks, Hank Dr. Hank Stevens, Associate Professor 338 Pearson Hall Botany Department Miami University Oxford, OH 45056 Office: (513) 529-4206 Lab: (513) 529-4262 FAX: (513) 529-4243 http://www.cas.muohio.edu/~stevenmh/
2007 Jun 11
1
Package update announcements
Hi Folks, I was wondering what everyone thought about adding a sentence to each package update announcement that described what the package did. R extensions are so numerous that it is difficult to keep up with them. Would it be appropriate to ask package developers to add a brief sentence about what the package does, when they announce updates? I would benefit from such descriptions.
2007 Aug 13
2
Error message when using zero-inflated count regression model in package zicounts
I have data on number of vines per tree for ~550 trees. Over half of the trees did not have any vines and the data is fairly skewed (median = 0, mean = 1.158, 3rd qu. = 1.000). I am attempting to investigate whether plot location (four sites), species (I'm using only the four most common species), or tree dbh has a significant influence on the number of vines per tree. When I
2006 Feb 16
2
Help to find correlation.
Respected Sir, I am trying to import excel file into R, but I need to truncate some columns from the original file. How to delete unwanted columns when I import data from excel file. How to use cor.test for the data when I want the output rowwise. How to do grouping and use cor.test on that data I need some help regarding how to calculate the correlation. I don't know whether you
2006 Jun 09
1
binomial lmer and fixed effects
Hi Folks, I think I have searched exhaustively, including, of course R-help (D. Bates, S. Graves, and others) and but I remain uncertain about testing fixed effects with lmer(..., family=binomial). I gather that mcmcsamp does not work with Do we rely exclusively on z values of model parameters, or could we use anova() with likelihood ratios, AIC and BIC, with (or without)
2006 Dec 11
2
How to write a two-way interaction as a random effect in a lmer model?
Dear All, I am working with linear mixed-effects models using the lme4 package in R. I created a model with the lmer function including some main effects, a two-way interaction and a random effect. Now I am searching how I could incorporate an interaction between the random effect and one of the fixed effects. I tried to express the interaction in:
2005 Oct 10
3
Under-dispersion - a stats question?
Hello all: I frequently have glm models in which the residual variance is much lower than the residual degrees of freedom (e.g. Res.Dev=30.5, Res.DF = 82). Is it appropriate for me to use a quasipoisson error distribution and test it with an F distribution? It seems to me that I could stand to gain a much-reduced standard error if I let the procedure estimate my dispersion factor (which
2006 Jun 14
2
lmer binomial model overestimating data?
Hi folks, Warning: I don't know if the result I am getting makes sense, so this may be a statistics question. The fitted values from my binomial lmer mixed model seem to consistently overestimate the cell means, and I don't know why. I assume I am doing something stupid. Below I include code, and a binary image of the data is available at this link:
2007 Jul 25
1
Is Rwiki down?
Dear R-friends, is Rwiki down? I've been trying to login for the past couple of days with no success. Yours sincerely, Jin ____________________________________________________________________________________ wherever you're surfing.
2008 Sep 27
1
Using the mcmcsamp function
Hello, I'm building a couple of mixed models using the lmer function. The actual modelling is going well, but doing some reading on the use of crossed random effects and the comparison of models with and without random effects it is clear that I need to generate some Markov Chain Monte Carlo samples. However, I'm struggling because everyone time I go to generate a sample I get the
2005 Jul 27
4
odesolve/lsoda differences on Windows and Mac
Hi - I am getting different results when I run the numerical integrator function lsoda (odesolve package) on a Mac and a PC. I am trying to simulating a system of 10 ODE's with two exogenous pulsed inputs to the system, and have had reasonably good success with many model parameter sets. Under some parameter sets, however, the simulations fail on the Mac (see error message below). The
2006 May 17
1
nlme model specification
Hi folks, I am tearing my hair out on this one. I am using an example from Pinheiro and Bates. ### this works data(Orange) mod.lis <- nlsList(circumference ~ SSlogis(age, Asymp, xmid, scal), data=Orange ) ### This works mod <- nlme(circumference ~ SSlogis(age, Asymp, xmid, scal), data=Orange, fixed = Asymp + xmid + scal ~ 1, start =
2005 Oct 17
1
Dunn's post hoc test
Hi Everyone. I am rather new to R and I've been trying to implement a function to carry out the above test. For a couple of days now I've been stuck on how to generate average rank differences. Say I have a vector of average ranks: averank<- c(2,5,9,12) I would like to subtract averank[1] from averank[2], averank[1] and averank[2] from averank[3] and averank[1], averank[2] and
2006 May 25
1
is possible to use update with lmer models
Hi, the question on subject is possible? example: m1 <- lmer(y~1+(1|subject)) m2 <- update(m1,.~.+x) I try but dont work, exist any other method for this? Thanks Ronaldo -- He won a Toyota now, eh? -- pal?ndromo -- |> // | \\ [***********************************] | ( ? ? ) [Prof. Ronaldo Reis J?nior ] |> V [UNIMONTES/Depto. Biologia
2008 Oct 06
2
lmer: random factor nested in a fixed factor
Hi all, I try to build a model using lmer, with 2 crossed fixed factors (poptype and matingtype) and 2 random factors (pop and family) which I want to nest within poptype. Which of these formulae should I use ? 1. lmer(y~poptype*matingtype + (1|poptype/pop/fam)) 2. lmer(y~poptype*matingtype + (poptype|/pop/fam)) thanks in advance Agnes -- Marie-Agn?s Coutellec UMR INRA-Agrocampus Ouest 985
2006 May 18
2
Incomplete Output from lmer{lme4}
I'm still relatively new to R, so my apologies if this is covered somewhere. I've been running some mixed-effect models in R using lme{nlme}, but read in Faraway's recent book, Extending the Linear Model with R, that lmer in package lme4 is a much improved version. I tried using this approach, but the output for the fixed effects doesn't report a p-value or the degrees of freedom
2006 May 18
1
how to get correct coefficients from lm model
Howdy I apologize for duplicated posting. But I decided to correct my previous posting. I had the regression results using r <- lm(Y ~ nemp + as.factor(devt), data=d). First, there is the result of anova(r). Here I could not find regression coefficients. Response: Y Df Sum Sq Mean Sq F value Pr(>F) nemp 1 58.2 58.2 1233.23 < 2e-16 ***