search for: trajectory

Hello. I have 5 measurement points, my dependent variable is ordinal (0 - 3), and I want to visualize my data. I'm pretty new to R. What I want is to find out whether people with different baseline covariates have different trajectories, so I want a plot with the means trajectory of my dependent variable (the individual points do not make a lot of sense in ordinal data) on each measurement point per group, e.g. females vs. males. I found different codes, but they don't work well for me. This one looks promising, though: > xyplot(phq4 ~ time, data = data, type = ...

I'm trying to understand how to plot individual growth curve trajectories, with the overall mean trajectory superimposed (preferably in a slightly thicker line, maybe in black) over the individual trajectories. Using the sleepstudy data in lme4, here is the code I have so far: library(lme4) library(lattice) xyplot(Reaction ~ Days, data = sleepstudy, group = Subject, type = 'l') This plot prod...

Hi all, I am trying to plot the fitted trajectories for each individual from an individual growth model (fit with a linear mixed effects model in lme). How can I plot each person's trajectory in the *same* panel, along with the mean-level trajectory? Below is an image of a plot similar to what I'm trying to create (from: http://jpepsy.oxfordjournals.org/content/31/10/1002/F6.large.jpg): http://r.789695.n4.nabble.com/file/n3315494/fitted_trajectories.jpg Thanks so much for your he...

Hi all, I need a little help for construct an state's map on R. The first problem is to get the data. I have a datafile of longitude and latitude in the follow format: trajectory latitude longtude T -22.045618 -51.287056 T -22.067078 -51.265888 T -22.067039 -51.207249 T -22.059690 -48.089695 T -22.075529 -48.074608 T -22.072460 -48.044472 T -22.062767 -48.298473 T -22.077349 -48.322140 T -22.047001 -48.347443 T -22.054266 -48.369331 T -22.042810 -48.392612 T -...

dear helpers, I wonder if there is a way to read a molecular dynamic trajectory file ( binary file) produced by CHARMM into R. Something like that in matlab. Actually this will save tremendous effort in post processing. best regards karim

Hello, I'm attempting to create a smooth, 3D plot of a trajectory (rather than the cloud or wireframe functions). I would rather the individual data points not be visible. I've had no luck finding this on the graphics or help pages. Thank you in advance. Chris Some example data, just in case: 25 32 40 12 25 32 2 12 25 2 2 12 20 2 2 1 20 2 6 1 20 5 6 1 5...

Hi, I'm trying to read some trajectory files (text files) which have the form: # trial n # t X Y 0 1 2 0.2 1 3 0.4 1.2 4 ... # trial n+1 # t X Y 0 1 2 0.2 1.3 3.3 0.4 1.5 5 ... ... where the symbol # means that the line is not a numeric value, but I still...

Hi there, I want to make trajectory plots for data as follows: ID time y 1 1 1.4 1 2 2.0 1 3 2.5 2 1.5 2.3 2 4 4.5 2 5.5 1.6 2 6 2.0 ... That is, I will plot a growth curve for each subject ID, with y in the y axis, and time in the x axis. I w...

Dear all, Fernando Colchero, Owen Jones and Maren Rebke, Max Plank Institute for Demographic Research, present BaSTA -Bayesian Survival Trajectory Analysis. Fernando, Owen and Maren have put together this beautiful video exploring research on ageing and and how to deal with incomplete data. To install BaSTA http://basta.r-forge.r-project.org BaSTA users mailing list, http://lists.r-forge.r-project.org/mailman/listinfo/basta-users Thanks, G...

I'm fitting a lme growth curve model with two predictors and their interaction as predictors. The multilevel model is nested so that level 1 is time within the individual, and level 2 is the individual. I would like to plot the mean group-level trajectories at plus and minus 1 SD from the mean of the main effects composing the interaction term. Thus, the plot should have 4 lines (mean

Greetings, I have the following problem: I want to compare a "parameter trajectory", i.e. a series of real numbers (representing equidistant samples of a time-varying parameter) produced by some "model", to a reference trajectory, measured from the real world, in order to get a rating of how good the model that produced the first trajectory is. Ok, so I use the...

Dear all, I have a problem where I must represent points with XYZ coordinates changing over time. I will do a number of operations on this data such as calculating the YZ-projection distance of the points to the origin over time, the frequency spectrum of the X-T data etc. I am trying to find a good way of representing this data with an appropriate data structure. It appears like

I am trying to simulate the trajectory of the pension assets of one person. In C-like syntax, it looks like this: daily.wage.growth = 1.001 # deterministic contribution.rate = 0.08 # deterministic 8% Wage = 10 # initial Asset = 0 # initial...

Hello, Does anyone know how to make "movies" in R by making a sequence of plots? I'd like to animate a long trajectory for exploratory purposes only, without creating a bunch of image files and then using another program to string them together. In Splus I would do this using double.buffer() to eliminate the flickering caused by replotting. For instance, with a 2-D trajectory in vectors x and y I would use the fo...

Hi   I am using following code to produce a xyplot for some longitudinal data. There are 2 panels. It produced all longitudinal trajectories with mean profile. But since the dataset it very large plot looks very messy. I want to show, say 10 randomly selected individual longitudinal trajectories together with mean profile for entire dataset. Could any help me to alter the following code to do

I am running a multilevel growth curve model to examine predictors of social anhedonia (SA) trajectory through ages 12, 15 and 18. SA is a continuous numeric variable. The age variable (Index1) has been coded as 0 for age 12, 1 for age 15 and 2 for age 18. I am currently using a time varying predictor, stress (LSI), which was measured at ages 12, 15 and 18, to examine whether trajectory/variation in...

I am running a multilevel growth curve model to examine predictors of social anhedonia (SA) trajectory through ages 12, 15 and 18. SA is a continuous numeric variable. The age variable (Index1) has been coded as 0 for age 12, 1 for age 15 and 2 for age 18. I am currently using a time varying predictor, stress (LSI), which was measured at ages 12, 15 and 18, to examine whether trajectory/variation in...

...hod of characteristic hulls (Downs and Horner 2009), suggested by Paolo Cavallini, on the list has been added to adehabitatHR, and returns an object of class MCHu * the method of biased random bridges (Benhamou, 2011) has be added to adehabitatHR, to estimate the utilization distribution from a trajectory. * the canonical OMI analysis, allowing exploration of habitat selection with radio-tracking data, has been added to the package adehabitatHS * the autocorrelation functions described by Dray et al. (2010) for the analysis of movement have been added to the package adehabitatLT; * the function...

...hod of characteristic hulls (Downs and Horner 2009), suggested by Paolo Cavallini, on the list has been added to adehabitatHR, and returns an object of class MCHu * the method of biased random bridges (Benhamou, 2011) has be added to adehabitatHR, to estimate the utilization distribution from a trajectory. * the canonical OMI analysis, allowing exploration of habitat selection with radio-tracking data, has been added to the package adehabitatHS * the autocorrelation functions described by Dray et al. (2010) for the analysis of movement have been added to the package adehabitatLT; * the function...

?kml? is an implementation of k-means for longitudinal data (or trajectories). This algorithm is able to deal with missing value and provides an easy way to re roll the algorithm several times, varying the starting conditions and/or the number of clusters looked for. KmL 1.1.1 addition: - 7 imputations methods for longitudinal data - Calculus of three qualities criterion (Calinski&Harabatz,