similar to: generate a text file for user to download

Hi all, I need to write an application that gets data from a database and plots it on a graph. I am familiar with java and know that I could do it with jfreechart - however I am excited by RoR and would like to write the application with RoR instead. Is it possible to write it in RoR? Chris -- Posted via http://www.ruby-forum.com/.

Hi there, Is a web app always preferable to a ''real'' app? - or are there times when a real app should be used? I''m starting a new app and can''t decide which would be best. Is Ruby (not RoR) suitable for a real app? Chris. -- Posted via http://www.ruby-forum.com/.

Hello, After I use the lm() function to perform a multiple linear regression, and then use the step function to eliminate variables that predict the weakest, I need to export the final equation to a spreadsheet or a text file. Below is some sample code. In the end I want to export the coefficients to a spreadsheet. Will you please direct me to the appropriate syntax? Thanks for your time, --Eric

Hello all: As everyone knows the stock quotes in Yahoo can be downloaded directly on EXCEL spreadsheet. we can also use the simple sentence of package tseries of R to download Yahoo quote: x <- get.hist.quote(instrument = "ibm", start = "2010-01-01", quote = "close") x The result will display on the R console.

I read through the import/export manual a few times and did not see this mentioned and checked the archives as well. I am dealing with data sheets generated by Eprime (a software package for generating experimental psychology paradigms) that output subject responses in a proprietary Edat file format. All individual subject response spread sheets can be merged to form one long file of all

Hello, For insect mortality data I'm trying to get an R script that will take the data from the raw form and convert it to Lx (% survival) for a number of treatments. The raw data has the number of days lived for each individual for the respective treatment. Thus, for example, when R selects the data for a single treatment I end up with the following vectors: >day=seq(from=0,to=6)

Dear list, I'm running windows xp with R 2.12.0. I'm trying to load a excel spreadsheet into R using the xlsx package. I posted my code below with the error I get. > res <- read.xlsx("Copy of test_excel_input_data.xlsx", 6) Error in .jcall("RJavaTools", "Ljava/lang/Object;", "invokeMethod", cl, : java.lang.IllegalStateException: Cannot get

Hi, I'd like to import a 154x1 vector of a stock monthly returns from a text (or excel spreadsheet) into R. I need to work on this vector by calculating mean, variance and use it for more complex operations. What is the best function to do so? There are no headers, just 154 decimale numbers (so there also negative numbers). Thanks, Claudio -- View this message in context:

I use R for data management and ongoing data analysis for amongst other things, a multi-center medical research project. I have found Google spreadsheets to be a fantastic way for all collaborators to be on the same page. Furthermore, Google Forms allows one to capture data from respondents and effortlessly write it to a google spreadsheet. Currently, one has to manually download the spreadsheet

Mats, Thanks for your feedback. I guess I should elaborate on one of the features I would like to implement. In today's spreadsheets if you want to crunch a lot of data, you usually put the data in rows and put expressions in cells to the right of the data and repeat those cells for every row of the data. I would like to create a spreadsheet system that can process the same quantity of

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}")

Colleagues, I am using R 2.4.0 on both a Mac (10.4.8) and Linux (RedHat 9). To read data from an Excel spreadsheet, I do "save as" in Excel, then select the "Text (tab-delimited)" format. The resulting file uses a tab separator and I can usually read the file using read.delim. Sometimes, the header row contains embedded carriage returns. When I view the file,

I'm getting tired of converting spreadsheets that someone else updates to csv so my perl scripts can push the data into a mysql database. Is there a better way? I haven't had much luck with perl-Spreadsheet-ParseExcel (and find it odd that yum prefers the .32 version from epel over .57 from rpmforge anyway). Is the current CPAN version better? Or the equivalent java tools? Or

I am thinking about writing a new open source spreadsheet application since I think the spreadsheet applications out there (Microsoft Excel, LibreOffice Calc, etc.) do not have some features that I would really like to use. I would like the spreadsheet to recalculate very fast and wondered if it would make sense to use LLVM to calculate the cell values quickly. Each cell of a spreadsheet

Under Windows, I have used RODBC to connect to Excel spreadsheets as per the example below: library(RODBC); connect = odbcConnectExcel("testdata.xls"); query = "SELECT [data$.ethn], [data$.sex], [data$.age], [data$.height], [data$.weight], [label$.label] FROM [data$], [label$] WHERE [data$.ethn] = [label$.ethn];" data =

People, I thought I needed to have some familiarity with NNs for some of my current (non-profit, brain-related) projects so I started looking at various programming environments including R and I got this working: http://gekkoquant.com/2012/05/26/neural-networks-with-r-simple-example however I needed pictures to help understand what was going on and then I found this:

Hello R users, I am relatively new to the R program, and I hope some of you can offer me some suggestions on how to organize my data in R using some of the more advanced data structuring technique. Here's my scenario: I have date set of 50 participants (each with conditions and demographic data), each participant performed 2x16 trials, for each trial, there was specific information about the

every time I read the R release notes for the next release, I see many functions that I had forgotten about and many functions that I never knew existed to begin with. (who knew there were bibtex facilities in R? obviously, everyone except me.) I wonder whether there is a complete list of all R commands (incl the standard packages) somewhere, preferably each with its one-liner AND

Hi, Im looking for an option to keep the files printed. Cups can preserve the print jobs, but we need save the file and open if if is necessary. By example: print a spreadsheet document and save that spreadsheet in some storage to take it again if is necessary. Is possible do that? thanks a lot.

Hello all, I wish to use read.csv to read a google doc spreadsheet. I try using the following code: data_url <- " http://spreadsheets0.google.com/spreadsheet/pub?hl=en&hl=en&key=0AgMhDTVek_sDdGI2YzY2R1ZESDlmZS1VYUxvblQ0REE&single=true&gid=0&output=csv " read.csv(data_url) Which results in the following error: Error in file(file, "rt") : cannot open