similar to: Application of tree() to get alternative confidence bounds - is this feasible?

Hello I'm currently using Monte Carlo techniques to estimate prices (variable not static) from the following type of data: 1,22,40,22,33,5,2000 3,45,33,6,7,0,3000 22,22,33,44,55,66,70000 Each row is a record from group A and the cells in all but the last column are the volumes of 'widgets' in the record. The last column is the cost of all the widgets in the record. Any widget

What's the current best wisdom on how to construct confidence bounds on something like a normal probability plot? I recall having read a suggestion to Monte Carlo something like 201 simulated lines with the same number of points, then sort the order statistics, and plot the 6th and 196th of these. [I use 201 not 200 because quantile(1:201, c(0.025, 0.975)) = 6 and 196 while

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,

Hi folks, I'm trying to estimate bias-corrected percentile (BCP) confidence intervals on a vector from a simple for loop used for resampling. I am attempting to follow steps in Manly, B. 1998. Randomization, bootstrap and monte carlo methods in biology. 2nd edition., p. 48. PDF of the approach/steps should be available here: https://wyocoopunit.box.com/s/9vm4vgmbx5h7um809bvg6u7wr392v6i9 If

Hi, Is there a way to calculate variance directly by specifying confidence interval using R ? I am specifically asking because I wanted to investigate how this could be useful for project schedule variance calculation. Moreover I am interested in using R for monte carlo simulation as well and any simple examples would help. I read that project schedules would benefit from this.

Hello, currently I'm working on a model based on Monte-Carlo-Simulations. I observed that a generated normal distributed times series using rnorm(100,mean=0,sd=1) is far away from being not autocorrelated. Is there any other gerenator implemented in R, which might solve my problem? -- View this message in context:

I have plotted Ripley's K function for a spatial point pattern for 12 plots, with 39 Monte Carlo simulations for complete spatial randomness (CSR). I would like to analyse these data as follows: I would like to know for which plots the Ripley's K function deviates from CSR at a number of confidence intervals, namely 90%, 95% and 99%. I realise that simulation envelope I have produced

The updated package has been submitted to CRAN and has begun to propagate to CRAN mirrors. Package: WriteXLS Version: 1.9.0 Description: Cross-platform perl based R function to create Excel (XLS) files from one or more data frames. Each data frame will be written to a separate named worksheet in the Excel spreadsheet. The worksheet name will be the name of the data frame it contains or can be

The updated package has been submitted to CRAN and has begun to propagate to CRAN mirrors. Package: WriteXLS Version: 1.9.0 Description: Cross-platform perl based R function to create Excel (XLS) files from one or more data frames. Each data frame will be written to a separate named worksheet in the Excel spreadsheet. The worksheet name will be the name of the data frame it contains or can be

Hi All, I am using canonical correspondence analysis to compare a community composition matrix to a matrix of sample spatial relationships and environmental variables. In order to parse out how much variance is explained purely by space (S/E) or the environment (E/S) I am using a conditional (partial) CCA. I want to test significance via Monte Carlo but I can not find a way to do this with a

Hi, We have recently published a paper on floating point accuracy analysis through Monte Carlo Arithmetic. We also released the open-source tool Verificarlo (https://github.com/verificarlo/verificarlo) that relies on LLVM for instrumenting floating point operations. Could you please add our paper to http://llvm.org/pubs/ ? Verificarlo: checking floating point accuracy through Monte Carlo

Thanks Mike. My data has longitude and latitude coords and I used distAB {clim.pact} then mst {ape} to calculate my minimum spanning tree. The nodes are telecoms sites from all over Australia. My goal is to determine the minimum cost of linking them via cabling, and I'm starting by calculating the distance "as the crow flies", but will probably eventually need to calculate the

This is a message for whoever maintains "chisq.test": For an outcome more extreme than 2000 simulations, a Monte Carlo p-value of "< 2.2e-16" was printed. Ripley said the proper p-value for such cases should be 1/(B+1) = 1/2001. This can be easily fixed by adding "if(PVAL==0)PVAL <- 1/(B+1)" right after the following line in the code for chisq.test (in R

===== Summary ===== Version 0.1.0 provides the initial release of RcppSMC, an integration of the SMCTC template classes for Sequential Monte Carlo and Particle Filters (Johansen, 2009, J Statistical Software, 30:6) with the Rcpp package for R/C++ Integration (Eddelbuettel and Francois, 2011, J Statistical Software, 40:8). RcppSMC allows for easier and more direct access from R to the

===== Summary ===== Version 0.1.0 provides the initial release of RcppSMC, an integration of the SMCTC template classes for Sequential Monte Carlo and Particle Filters (Johansen, 2009, J Statistical Software, 30:6) with the Rcpp package for R/C++ Integration (Eddelbuettel and Francois, 2011, J Statistical Software, 40:8). RcppSMC allows for easier and more direct access from R to the

Folks, Is there a parameter somewhere in RODBC that enables more columns to be retrieved from an Excel worksheet? # This next bit uses an undocumented call in RODBC z <- odbcConnectExcel("./BBaselinePtQaires_apr2011.xls") BQ <- sqlFetch(z, "BBaselinePtQaires") Gives me: z RODBC[1] And BQ 134 obs. of 59 variables I have all the rows in the worksheet but only the

Hi list, I just installed the rcom package and tried to read/give out some values from/to Excel. Altogether it works great... but nevertheless I don't know how the syntax works or in other words: "Which command needs which parameters?" Is there somwhere a manual about this package with good examples? I've read the Package description... but there are not really good

Hello, I''m using the spreadsheet/excel gem to generate an excel sheet that I want user to be able to download it once it''s generated. Please take a look on the below code: @contacts=Contact.find(:all) if @contacts.size>0 file="#{Date.today}_Report.xls" workbook=Spreadsheet::Excel.new("#{RAILS_ROOT}/public/reports/#{file}")

Hi all, There have been quite a few threads in the recent months pertaining to the ability to directly write native Excel (.xls) files from R. For example, exporting R matrices and/or data frames to an Excel file, with perhaps the ability to create multiple tabs (worksheets) within a single file, with one tab/sheet per R object. There exists the xlsReadWrite package on CRAN by Hans-Peter Suter,

The updated package has been submitted to CRAN and will propagate to mirrors over the next day or so. It is maintained on R-Forge at http://r-forge.r-project.org/projects/writexls , where downloads are available as well. Package: WriteXLS Version: 1.7.1 Description: Cross-platform perl based R function to create Excel (XLS) files from one or more data frames. Each data frame will be