similar to: Modelling Crystal Growth

Hi, I want to use Crystal Reports in my ROR application. The way I am planning is to create an XML file and send the file as the input for the Crystal Report application. I believe there is no API in ROR to access the crystal reports. I am using Crystal Reports 11. I am planning to access the crystal report via command prompt from ruby code. Can anyone please help me how to achieve this???

Dear R users, I am looking for R packages that would best approximate Oracle's Crystall Ball [1]. For those not familiar: "Crystal Ball software is a leading spreadsheet-based software suite for predictive modeling, forecasting, Monte Carlo simulation and optimization. [..] Crystal Ball is used by customers from a broad range of industries, such as aerospace, financial services,

We need to generate the crystal reports dynamically from ROR application. I believe we need to pass the xml to the crystal report file. Any one knows how to call the crystal report template file dynamically from rails application and pass the xml data to the crystal report. -- Posted via http://www.ruby-forum.com/. --~--~---------~--~----~------------~-------~--~----~ You received this message

Can any one help to integrate crystal reports with rails: I was found the below link to integrate crystal reports in my rails application..... http://kkarthik.wordpress.com/ but i not understanding how to include those jar files in my rails application...... i am not getting those jar files for download.........where i will get those jar files.. (or) Is there any better and easy way for

Motivated by the discovery of 'loglet analysis' (http://phe.rockefeller.edu/LogletLab/) that allows one to decompose growth curves into a series of logistic equations, I attempted to do the same thing in R. SIMULATED DATA Time <- 1:200 pop.size <- SSlogis(Time,10,20,5) + SSlogis(Time,20,100,20) + rnorm(length(Time)) MY ANALYSIS results <- nls(size ~ SSlogis(Time, Asym1, xmid1,

Hello, I have a problem that I think can be solved in R but I'm not sure how to tie things together. I have a digital image of a crystal growth in 2 dimensions. And my aim is to calculate the fractal dimension of the crystal. I was planning to use the box counting method. So I need to read in the image in R (for which I can use the pixmap or rimage packages) and then draw a grid over at a

Hello all, I download from Tikal's site the Crystal Recording Interface and installed it on my Asterisk server, but there's no reference in the installation instructions there regarding the necessary settings on the Asterisk itself. Is anyone using it? Any detailed explanation on the implementation of that solution anywhere? Thanks.

Hi, I've installed a program made for windows that is developed by our company. I installed the system on Ubuntu (Dapper Drake) using Wine. All other functions work fine, but when I tried to view the reports that were made by Crystal Reports the program displays the message "Application-defined or object-defined error." Any advice on how to get this work??? Thanks! Here is a copy

Signed-off-by: Viktor Novotn? <noviktor at seznam.cz> --- Hi, this fixes a regression I have seen since the kernel module rewrite in summer. After loading nouveau, screen would go all black and monitor would show "Out of range". According to envytools' hwdocs/pstraps.txt nv25 should use both pstraps bits(6 & 22) so I hope this fix is valid for all nv25 cards, not just

Hi everyone, I have a quick and probably easy question about lme for this list. Say, for instance you want to model growth in pituitary distance as a function of age in the Orthodont dataset. fm1 = lme(distance ~ I(age-8), random = ~ 1 + I(age-8) | Subject, data = Orthodont) You notice that there is substantial variability in the intercepts (initial distance) for people at 8 years, and that

I would like to install the package "growth" as it contains the function "corgram" and some other presumably useful stuff for time series analysis. I can see it is in R standard library list: http://hosho.ees.hokudai.ac.jp/~kubo/Rdoc/doc/html/packages.html<http://hosho.ees.hokudai.ac.jp/%7Ekubo/Rdoc/doc/html/packages.html>

Hi, This is not a sophisticated statistics question as the subject suggests. But I am logging data - number of user sessions in a web application - before and after new users are migrated. I use R to graph but I am looking for a way to quantify the growth in the number of user sessions. As more users are now using the web application there is a growth. What is the way to measure this

I'm a programmer in a biology lab who is starting to use R to automate some of our statistical analysis of growth rate determination. But I'm running into some problems as I re-code. 1) Hypotheses concerning Slope similarity/difference: I'm using R's anova(lm()) methods to analyse a model which looks like this: growth.metric ~ time * test.tube I understand that

Dear all, I am running matrix population models using package "popbio". In a deterministic model {i.e., transition matrix is defined as A <- matrix(c(0.70, 0.70,0.35,0.50), nrow=2,byrow=TRUE}, population growth rate can be estimated from the dominant eigenvalue {command "eigen.analysis"}. However, I cannot figure out the way to compute the asymptotic stochastic population

Dear all, I have some growth curve data from an experiment that I try to fit using lm and lmer. The curves describe the growth of classification accuracy with the amount of training data t, so basically y ~ 0 + t (there is no intercept because y=0 at t0) Since the growth is somewhat nonlinear *and* in order to estimate the treatment effect on the growth curve, the final model is y ~ 0 + t +

I am having trouble using Jim Lindsey's libraries because of unresolved symbols. I am currently using R 0.65.0, but had this problem in earlier releases as well. I have a RedHat 6.0 Linux on i386 and use egcs (upgraded to that distributed with rawhide, after first failures with the libraries): egcs-g77-1.1.2-19 egcs-1.1.2-19 Installation of the libraries works but on loading >

What is the R way of computing cumulative growth rates given a series of discrete values indexed . For instance, given a matrix of 20 observations for each of 5 series (zz), what is the most straight forward technique in R for computing cumulative growth (zzcum) ? It seems for the solution I'm after might be imbedding the following cum growth rate calc as a function into a function call

Dear community, I'm trying to model growth with this function: Yi = A* exp(-k*(1/ti^m)) ; A asymptote, k rate of decrease of the relative growth rate, m shape parameter. I don't have variable time so, finally, following some papers, I try to fit Yi+a = A*exp(-k* (1/(-k/(log(Yi/A)))^(1/m)+a)^m); a= 10 I've tried: a) nls.1 <- nls(Yi+a ~A*exp(-k*

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

We are constructing growth charts (age/weight and age/length) for children with diagnosis that impacts weight/length. But we we don't know how to use R for producing growth charts. We are collection data of Age, Weight and Length. The data are used to produce diagnosis-specific Growth charts (like the CDC Growth Charts: