similar to: help w/ nonlinear regression

Hello everyone, today I have to be consulted. About the game The Sims 3. The first problem is that the game The Sims 3 fonts I do not know what font to use in the game. I now do not have the font. I stress this issue. I would like to know how to solve this problem should solve this problem, however. [Image: http://upic.me/i/ij/screenshot.resized.png ] The second problem is the issue graphic.

I am making a barplot using barplot2 from gplots where each bar represents a specific tree species. I have formatted the species names on the x-axis so that the genus name is above the species name and have then rotated the labels 45 degrees to save room. This is my code: >columncolor<-c("grey20", "grey20", "grey20", "grey70",

Hello, I am fairly new to R, but I am not new to programming at all. I want to generate random clusters in a 1,000x1,000 box such that I end up with a total of about 2,000 points. Once done, I need to export the X,Y coordinates of the points. I have looked around, and it seems that the spatstat package has what I need. The rMatClust() function can generate random clusters, but I have run into

hi, everybody, please help me with this question: If I want to do iteration for 1000 times, however, for the 500th iteration, there is NaN appears. Then the iteration will stop. If I don't want the stop and want the all the 1000 iterations be done. What shall I do? suppose I have x[1:1000] and z[1:1000],I want to do some calculation for all x[1] to x[1000]. z=rep(0,1000) for (i in 1:1000){

Dear R experts: I need to get this plot, but also with 95% confidence interval bands: hour <- c(1, 2, 3, 4, 5, 6) millivolts <- c(3.5, 5, 7.5, 13, 40, 58) plot(hour, millivolts, xlim=c(1,10), ylim=c(0,1000)) pm <- lm(millivolts ~ poly(hour, 3)) curve(predict(pm, data.frame(hour=x)), add=TRUE) How can the 95% confidence interval band curves be plotted too? Sincerely,

Hello - and sorry for a possibly stupid question, I'm just starting to learn rgenoud. I am defining a function with 5 parameters (p1, p2, p3, p4a, and p4b) and then want to optimize it using genoud. But I am doing something wrong. Before genoud is even able to run it says: "Error in p2 + 1.2 : 'p2' is missing". I assume I did not specify it right. My code is below. The task

Hi Folks, I'm advising someone who's a beginner with R, and therefore wants the simplest answer possible. The issue is to produce a plot using plot(x,y,...) where, on the X-axis, the tick-marks should be on the lines of: -- Range of X-axis: 0:1000 -- tick-marks labelled "0","200",...,"800","1000" -- unlabelled tick-marks every 50 from 0 to

Dear expert How can we plot diagonal across (from bottom-left-hand corner to top right-hand corner), at any given coordinate range For example > plot(c(-2,3), c(-1,5), type = "n", xlab="x", ylab="y", asp = 1) or > plot(c(0,1000), c(0,334), type = "n", xlab="x", ylab="y", asp = 1) I tried abline with the following but failed:

How can ordinary polynomial coefficients be calculated from an orthogonal polynomial fit? I'm trying to do something like find a,b,c,d from lm(billions ~ a+b*decade+c*decade^2+d*decade^3) but that gives: "Error in eval(expr, envir, enclos) : Object "a" not found" > decade <- c(1950, 1960, 1970, 1980, 1990) > billions <- c(3.5, 5, 7.5, 13, 40) > #

i am having problem running my own data. yesterday it was working just fine. today it is not. this is the code i was using as an example to follow. this code ALSO worked just fine yesterday, and is no longer working at all. i suspect it is a problem with either my computer or the software, at this point. if THIS won't even run.... something is wrong. i can assure you this isn't

Hi, I am a new student to R and I was hoping someone could help me with the error message I keep getting when I try to use the nb2listw() function. I have 45 sites and I want to get an autocorrelation value for sites within 1000m of each other. coords<-cbind(EAST,NORTH) coords<-as.matrix(coords) nb1000<-dnearneigh(coords,0,1000,longlat=TRUE) then when I try to run the

All, Simple question but I don't seem to be able to find the answer in the documentation: When using "plot" within a loop, is there any way to supply the argument to "main" dynamically, i.e., so that the title is Patient k below as the loop cycles through each value of k? plot(x,y, xlim=c(0,250), ylim=c(0,1000), xlab="gamma", ylab="r1",

Dear R users, In the code below, I am trying to print the result of my loop function. The output first gives me the result for k=1, and then for k=1 and k=2. I only want the last output which is [,1] [,2] [1,] 0.1700065 0.5002659 [2,] 0.3080273 0.4954731 [3,] 0.4844886 0.4544306 [4,] 0.5062987 0.1868154 [5,] 0.5846982 0.4353522 [6,] 0.4332621 0.2202922 [7,] 0.4391985

Hi all, I've this ggplot2 graph (http://www.4shared.com/file/120101043/f3e9350/isotherm.html). I'd like to tweak the legend for the adsorbent part. I'd like to have full square of the colors instead of the full circles. I guess that I've to work on the scale_color_hue or fill somewhere but I haven't found my way yet. Here is my code to get the graph:

Dear R users, I am quite desperate for help. I haven't used R in a couple of years and I'm currently finishing a masters project and running out of time to figure out my problem. I have read and tried the examples on many websites, in your forums and R Help yet still can't manage to change the x axis. I am using R 2.8.0 on windows.  I'm sure there must be a way to do this as many

Dear Wiz[R]ds, I am deeply grateful for the help from Duncan Murdoch, Gray Calhoun, and others. We are almost there. For whatever reason, I can't change the symbol from a circle to a triangle in the upright posture plots. Any ideas? I have included the problem in full. # tritiated (3H)-Norepinephrine(NE) disappearance from plasma # concentrations supine and upright # supine datasu <-

Hello, I am a new user. I would like to know if it is possible with R to fix the position of ticks. for example for my plot I obtained automatically the positions 200,400,600,800 and 1000 on x axis and so a scale of 200 But I would like to obtain 100,200,300,400,500,600,700,800,900,100 so a scale of 100. Which fonction can help me to do so? thank you meriema

Perdón por anticipado ante una pregunta sólo achacable a mi ignorancia en programación. Estoy creando un nuevo paquete con una estructura "decente", en vez de las chapuzas que hacía hasta ahora. Defino una función que ajusta unos datos a una distribución que podemos llamar ND. La sintaxis de esta función sería, de forma resumida: ND.fit<-function(x, start, ...){ ...

Muchas gracias por la respuesta. He mirado y los coeficientes no son altos pero sí tengo una gran cantidad de ceros en la variable dependiente (más del 90%). Sin embargo, al incluir otro tipo de variables independientes no me da ese aviso, dejando la misma variable dependiente. ¿Cómo podría utilizar stan/rstan de forma sencilla para diagnosticar el modelo? Muchas gracias El Lun, 9 de Abril de

Hi, I used subset command, like this: grupoP = subset(dados, grupos=='P', select=c(mortos, vivos, doses, percevejos, p)) and the variables in select option are numeric. I tried fit a model with command: ajuste.logit = glm(cbind(mortos,percevejos)~log10(doses), family=binomial(logit), data=grupoP) and the output is: > ajuste.logit = glm(cbind(mortos,percevejos)~log10(doses),