similar to: DeSolve Package and Moving Average

Hi I think this is mostly a question of preference for my part, but I think it would give an overall better quality feel. What I'm talking about is mostly the movement it uses. As I've come to understand, it uses velocity and direction, and a target point. This means that it updates it velocity and direction every X seconds (timestep), and gives it the possibility to be

summary: image.plot-ing two sets of netCDF data, with the second derived from the first. First plots to PDF as expected (title, data, legend). Second plots the data and title, but abends before drawing the legend, with > Error in if (del == 0 && to == 0) return(to) : > missing value where TRUE/FALSE needed > Calls: plot.layers.for.timestep -> image.plot -> seq ->

Dear list The deSolve package allows you to specify the model code in C or Fortran. Thanks to the excellent vignette this works fine. However I have not yet managed to use forcing functions in C code. In pure R code this works very well with approxfun() specified outside the model: ############################################### #Model lvml <- function(t, x, parms) {

Hello guys, I am a total newbie on R, having downloaded it, read the documentation and started playing with it right now. My general question is what 'lr' model can be used for doing a linear regression on points that have a variance associated with them (ie. Monte Carlo simulation results). Actually my Data sets look like: Timestep Energy Variance_of_the_Energy 0.0005 -14.876840

Hi I'm just wondering what the status is on the new movement architecture that I think David mentioned a few months ago. The point was to get more predictable and accurate movement in the plugins. Since the current method recomputes speed and direction every "timestep". So the movemnt is actually computed on the fly, instead of having a predetermined path which is

Hi All, Thank you in advance for your help. I made an agent-based model in R and I plot it using image() each timestep creating a nice animation. I can't seem to find in any of the R codes a means to export the series of images so that they can be played as a movie or animation. Thank you again. Flana

Is there a way to write and analysis to disk and then reconstruct the whole thing back into an object. wavCWT() #wmtsa package I am running out of memory on my computer and I was wondering if there was a way to iterate through this process (as it is an iterative process anyway- it just stores the whole thing to memory). Or is there a way to set the scale that I want to look at so that wavCWT

Hello, I have simulation results in the form of Time V I 0.000000000000e+000 7.218354344368e-001 5.224478627497e-006 1.000000000000e-009 7.218354344368e-001 5.224477718002e-006 2.000000000000e-009 7.218354344368e-001 5.224477718002e-006 4.000108361244e-009 7.218354344368e-001 5.224478627497e-006 8.000325083733e-009

Hi, I have used DeSolve package for my ODE problem regarding infectious disease transmission and currently am trying to pass lots (roughly a thousand) of model parameters to the C compiled model (I have to use C compiled code instead of R code purely because of the speed). I can't go define it one by one as it gonna take ages to finish and also quite difficult to revise. I have read the

Hi, I've solved a simple differential equation describing the degradation of amino acid carbon (THAA-C) using deSolve. Code is a follows: # Input of model parameters, a and b describes form of curve, i is apparent initial age of Org. C. parameters <- c(a = a, b = b, i=i) # Initial value of the model, G state = c(G = G) #specifies the function degradation as a function of

I have a problem integrating the 'standard map' ( http://en.wikipedia.org/wiki/Standard_map http://en.wikipedia.org/wiki/Standard_map ) with deSolve: By using the modulo-operator '%%' with 2*pi in the ODEs (standardmap1), the resulting values of P and Theta, should not be greater than 2pi. Because this was not the case, i was thinking that the function 'ode' has some

Hello, I am new to R and I am having problems trying to model logistic population growth with the deSolve package. I would like to run the model for four populations with the same initial population and carrying capacity but with different growth rates and put the results into a data frame. When I run the following lines of code I get unexpected results from "output" but the format is

Hi All Having been pointed the use of events and roots in deSolve, I was able to implement the Izchikevich model of spiking neurons. However, I'm not too sure of defining the event. The deSolve documentation says: An event is triggered when the ball hits the ground (height = 0) Then velocity (y2) is reversed and reduced by 10 percent. The root function, y[1] = 0, triggers the event: >

Vince, When that happens, one possible reason is that your DAE is of index > 1, which cannot be solved by daspk. The solver radau, also from deSolve can handle DAEs up to index 3, but you need to rewrite the problem in the form M*y' = f(x,y), where M is a mass matrix. If you do that for your problem, and solve it with radau, then radau complains that the "matrix is repeatedly

Dear R users, an improved version of package deSolve (version 1.3) is now available on CRAN. deSolve, the successor of R package odesolve, is a package to solve initial value problems (IVP) of: - ordinary differential equations (ODE), - differential algebraic equations (DAE) and - partial differential equations (PDE). The implementation includes stiff integration routines based on the ODEPACK

Dear R users, an improved version of package deSolve (version 1.3) is now available on CRAN. deSolve, the successor of R package odesolve, is a package to solve initial value problems (IVP) of: - ordinary differential equations (ODE), - differential algebraic equations (DAE) and - partial differential equations (PDE). The implementation includes stiff integration routines based on the ODEPACK

Hi R help, I wanted to simulate two pool model (A&B) using deSolve package for time 0 to 12 by 1.? Initial values of the state variables are A=5, B=3. The fluxes are as follows1) Flux into A= 5 units per unit time?2) Flux from A to B= 0.33) Flux out of A=0.1?4) Flux from B to A=0.35) Flux out of B=0.3 Here is the R code I compiled to estimate the size of A and B and graph the output

I'm getting this error on the attached code and breaking my head but can't figure it out. Any help is much appreciated. Thanks, Vince CODE: library(deSolve) Res_DAE=function(t, y, dy, pars) { with(as.list(c(y, dy, pars)), { res1 = -dS -dES-k2*ES res2 = -dP + k2*ES eq1 = Eo-E -ES eq2 = So-S -ES -P return(list(c(res1, res2, eq1, eq2))) }) } pars <- c(Eo=0.02,

I'm just getting to grips with using ode function and have used the examples and vignettes to produce a small model of a one-pool, michaelis-menten, enzyme kinetic reaction. The rate of flux of substrate into pool A is constant (fluxoa) however the rate of flux out of pool A is controlled by the HMM equation (v = Vmax/ ( 1 + (Km / Concentration A )) ). This function works fine and

Dear List, Wonder if you have some thoughts on the following question using lsoda in desolve: I have the following data and function: require(deSolve) times <- c(0:24) tin  <- 0.5 D <- 400 V    <- 26.3 k <-0.056 k12  <- 0.197118 k21  <- 0.022665 yini <- c(dy1 = 0,dy2 = 0)  events <- data.frame(var = "dy1",time = c(10,15),value = c(200,100),method =