search for: priced

I'm having problems downloading any .pkg file on my MacBook. All the .dmg files up to 2.10.1 will download and install fine but nothing newer than that. I'm attaching the the log file from my installer as and here are some other things about my system. At the end of the log the installer continues to run not doing anything and comes up with progress messages. I've let it run

I have the following many-to-many relationships defined in my model code to model a many to many relationship between Media and PriceCode with Price being the association table: class Media < ActiveRecord::Base has_many :prices has_many :price_codes, :through => :prices end class Price < ActiveRecord::Base belongs_to :media belongs_to :price_code end class PriceCode <

Ill keep it brief. Dragging an item is working but dropping and updating the list gives me this error - NoMethodError in AdminController#sort You have a nil object when you didn''t expect it! You might have expected an instance of Array. The error occured while evaluating nil.each #{RAILS_ROOT}/app/controllers/admin_controller.rb:171:in `sort'' # My view - <ul

Hi, I have some problems with an application where I''m using custom accessors to do currency conversions. In my model, I have a price attribute in the database that stores the value in cents, to avoid future problems with float arithmetic and round. But at the views, I would like to show the price in euros, with decimal for the cents. So I defined a new attribute called price_in_euros,

I am running R 2.1.1 in a Microsoft Windows XP environment. I have a matrix with three vectors (“columns”) and ~2 million “rows”. The three vectors are date_, id, and price. The data is ordered (sorted) by code and date_. (The matrix contains daily prices for several thousand stocks, and has ~2 million “rows”. If a stock did not trade on a particular date, its price is set to “NA”)

days=Sys.Date()-1:70 price=abs(rnorm(70)) regular=rep(c(0,0,0,0,1,0,1,0,0,1),c(7,7,7,7,7,7,7,7,7,7)) y=data.frame(cbind(days,price,regular)) y is like days price regular 1 14990 0.16149463 0 2 14989 1.69519358 0 3 14988 1.57821998 0 4 14987 0.47614311 0 5 14986 0.87016180 0 6 14985 2.55679229 0 7 14984 0.89753533 0 the output I want:

Hi, I have some problems with an application where I''m using custom accessors to do currency conversions. In my model, I have a price attribute in the database that stores the value in cents, to avoid future problems with float arithmetic and round. But at the views, I would like to show the price in euros, with decimal for the cents. So I defined a new attribute called price_in_euros,

Dear all, Apologies for this beginner's question. I have a variable Price, which is associated with factors Season and Crop, each of which have several levels. The Price variable contains missing values (NA), which I want to substitute by the mean of the remaining (non-NA) Price values of the same Season-Crop combination of levels. Price Crop Season 10 Rice Summer 12

Hello, I am relatively new to using R. The text file contains the date and price . I want to read and manipulate the data in R. However, when I use read.table, it treats all of the data as "factors" and I do not know how to treat the data as numbers: http://r.789695.n4.nabble.com/file/n4498828/p_diarios.txt p_diarios.txt setwd ("C:\\Users\\Sandro\\Dropbox\\R")

I would like to create a subtotal table with custom bands. seq1 = seq(0, 100, by = 5) seq2 = seq(100, 1000, by = 100) Bands = c(seq1, seq2) #Prices Prices = sample(1:1000, 200, replace=F) #corresponding size for the given price above. size = sample(1:1000, 200, replace=F) How would I find the subtotal of the size based on a given price falls within a band? -- View this message in

Hello, list,   I've been struggling with this task for a while looking for an efficient way to solve it: There are two variables 'price' and 'mentioned'. I want to 'enlarge' data so that missing price points within the price range are added to variable price. Also variable 'mentioned' is to receive values 0 in these cases. Note: Price points in original data can

HI, Assume I have the data frame generated from R as the following: Product Price market_share A 100 10% B 110 9% C 120 20% D 90 61% What I want to do is to have this kind of excel user interface by changing price of certain products, to get the impact of market share generated from R: if I change A

Hello, I am fairly new to RoR and I have a question I hope can be solved elegantly (so many things are, so why not this one too?). I have a working solution, but I want to be sure I am doing things the "rails way" (having come from PHP). You could say I am looking for a little validation (no flames please). I have a table of units like so: CREATE TABLE `units` ( `id`

Hi, I'm trying to construct what I think should be a fairly simple plot, yet I'm having a tremendously difficult time. I'm trying to create a very simple graph showing the effect of interest rates on option prices. I have three sets of option prices that I've calculated using rMetrics. Each set contains a call price and a put price at a particular interest rate. Each

Dear R users, I have a panel data set (in MS excel) on prices across countries and time country time price 1 "23/11/08" 2 1 "28/12/08" 3 1 "25/01/09" 4 1 "22/02/09" 5 1 "29/03/09" 6 1 "26/04/09" 32 1

I read a table as follows: > F1 <- read.table("Rtext3.txt") > F1 Price Floor Area Rooms Age Cent.heat a 52.00 111 830 5 6.2 no b 54.75 128 710 5 7.5 no c 57.50 101 1000 5 4.2 no d 57.50 131 690 6 8.8 no e 59.75 93 900 5 1.9 yes As it is seen, the rows have a name. However I don't know how to access a

I am using CSV in a rake task (db:seed) on Rails 3.0.3, Ruby 1.9.2 to read a file with some funny chars in it. Upon breaking in at a point where the row read using CSV is in variable row, with the string with the char in row[''price''] I get the following strange results which I cannot understand. (rdb:1) row[''price''] "\xA32.00" (rdb:1)

I have loaded price data for GE and then calculated a 50 day simple moving average. Then I have a created a ifelse statement that produce a 1 when GE's closing price is above the simple moving average and a 0 when GE Closing price is below the 50 day simple moving average. However, what I really want to do is to produce a 1 for when the price is above the simple moving average for 3 days

After getting one list done, I am now struggling to form a data frame in C. I tried to do a list of lists which gives me : $<NA> $<NA>[[1]] [1] "BID" $<NA>[[2]] [1] 0.6718 $<NA>[[3]] [1] 3e+06 $<NA> $<NA>[[1]] [1] "BID" $<NA>[[2]] [1] 0.6717 $<NA>[[3]] [1] 5e+06 $<NA> $<NA>[[1]] [1] "BID"

My code below makes a data frame with columns for date, time, and price. Time on each date runs from 1 to 4. I'd like to add a new column "ts$closingprice", which would have the closing price for that date. To find the closing price, I'd like to take the price in the row having the greatest time value for each date. Then I'd like to fill that closing price into the