similar to: parsing tags

I am using the number to currency function because i live in the uk and the company want me to only show values of the pound of course.I have created all my application using ruby script/generate scaffold_resource.... I have come across with a problem... this code is in my applcation: def number_to_currency(number, options = {}) options = options.stringify_keys precision, unit, separator,

Hello, For reasons I don't understand, data() imports CSV (Comma-Separated Values) as if they were delimited by semicolons instead of commas. (Are semicolon-separated Comma-Separated-Value files common somewhere?) Given that this is the case, if I choose to put comma-delimited CSV files in my data directory, what is the preferred method of loading these into memory?

I''m trying to generate (and manage) nagios configuration based on what classes have been included by nodes. I''ve seen the example at http://docs.puppetlabs.com/guides/exported_resources.html, and I''m doing that now. However, it has some problems: - puppet runs are very slow on the nagios node - when I want to change the service configuration in nagios, I have to wait

SQldf with sqlite and H2 I have a large csv file (about 2GB) and wanted to import the file into R and do some filtering and analysis. Came across sqldf ( a great idea and product) and was trying to play around to see what would be the best method of doing this. csv file is comma delimited with some columns having comma inside the quoation like this "John, Doe". I tried this first

Hey...I''m trying to search a Model that uses acts_as_taggable for multiple tags. I''d like to pass in a search string containing a space delimited tags names (i.e. "tag1 tag2") and return the objects that have been tagged by either one of those. Thanks! -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hey I am pretty new to Ruby on Rails and I have no idea how to solve the following: I have a join query on a table like this: def mytags Taggable.joins("JOIN taggables as filter ON taggables.tag_id = filter.tag_id WHERE filter.taggable_type = ''User'' AND filter.taggable_id = 1").all end this works perfectly fine. then I want to join the result on another

Hi Listers, I can't seem to figure out why I loose precision when I try to import a comma delimited file using read.csv or read.table. The fields of interest are rounded to one decimal place. DataTimeStamp TerminalID Hours Minutes Latitude Longitude Status Temperature Battery BootTimes Current Google 1 2/11/2010 12:22:21 PM 4894551 12 0 45.0 -66.5 0 30

Dear list, I have a file that is comma delimited but contains some erroneous non-delimiter commas. I would like to replace these commas with semicolons and then read the correct file into R as a data frame. I want to do this from within R, without changing the original data file. My current idea of how to do this would be to use system("sed ...") and feed the result to read.csv(), but

The main limitation of the shapefiles package that I put together is that it does not create shapefiles from R objects - rather it only writes shapefiles that have been read into R and manipulated within the constraints of the existing file structure. By this I mean that for example you can change the coordinates of points and write them back out. Or you can add a bunch of blank columns in the

Dear all What is the preferred spreadsheet-like x-delimited data format for use with R? Should I prefer tab-, comma-, space- or some_other_delimitor-seprated data? I'm asking this because I've been once bitten by CSV data containing ` ' ' (apostrophe) symbols that R couldn't easily digest. Probably no the best approach, I've eventually inspected the document and removed

I have a list of data that is delimited by a / and, as long as there is an equal number of delimiters, I can parse the data and put it into a data frame: > t1<-c("a/a/a","b/bb/bbb","ccc/cc/c") > t2<-strsplit(t1,"/") > t3<-data.frame(t2) > t3 c..a....a....a.. c..b....bb....bbb.. c..ccc....cc....c.. 1 a

I've created a Perl script that translates Microsoft Excel (.xls) files into comma-delimited text files (.csv) using the Perl Spreadsheet::ParseExcel module. Usage ----- perl xls2csv.pl <excel file> [<output file>] [<worksheet number>] Translate the Microsoft Excel spreadsheet file contained in <excel file> into comma separated value format (CSV) and store in

I am trying to write data to csv but I am having issues with the separations. Basically I have some results that I get with R that I copied and pasted into word and then saved as .txt I want to write the results to csv because it's easier to make tables in word (all I would have to do is copy and paste into a table, instead of typing everything out). I am able to write the data to the

I'm using read.delim to successfully read in tab delimited data, but some columns' values are comma seperated, reflecting the fact that user chose a few answers on a multi-select question. I understand that each answer is its own category and so could be represented as a seperate column in the data set, but I'd like the option of reading in the data column, and converting it to a

Hello, all. I'm having a nasty problem with call parking in Asterisk 1.6.1.1 that smells like a bug. When the call returns, it seems to be returning to a "|" delimited extension and failing. Here is the output from the console: [Jun 26 22:20:42] NOTICE[7168]: chan_sip.c:18160 handle_request_invite: Call from 'tkeeley' to extension '56' rejected because extension

Hi, I would like to be able to select one or more columns via the list.rhtml or similar view file an export those tables to one of the following formats: a) excel b) csv or txt comma delimited c) txt tab delimited d) dBase e) pdf f) flash paper (optional) Finally, I would like to be able to import (a) - (d) and associate them to the appropriate column in the database before importing the data.

Hi. in the Rails Agile book here''s what was happening: >>> module StoreHelper def hidden_div_if(condition, attributes = {}) if condition attributes["style" ] = "display: none" end attrs = tag_options(attributes.stringify_keys) "<div #{attrs}>" end # format_price method ... end Note that we cheated slightly here. We copied code from the Rails

Hi all,I have large compressed text tab delimited files, I am trying to write efficient function to read them, I am using gzfile() and readLines() zz <- gzfile("exampl.txt.gz", "r") # compressed file system.time(temp1<-readLines(zz )) close(zz) which work fast, and create vector of strings. The problem is to parse the result, if I use strsplit it takes longer

I'm trying to convert a data.frame to a series of strings (row-wise). There was a very good discussion awhile back (2002) entitled "[R] string concatenate across rows of a matrix??" where Tony Plate recommended the following two alternatives (x2 is an R object of type data frame -- a matrix also works for solution #1): 1) apply(format(x2), 1, paste, collapse=" ");

I have seen this numerious times and still have no idea what it means: undefined method `stringify_keys!'' for "blah22":String I am tring to change a password. My code looks like: def change_password @user = User.find_by_emailaddr( params[:email] ) if @user.nil? # user profile not created flash[:notice] = "<b style = \"color:red\">No such