similar to: Processing large datasets

Sorry, I forgot to be more specific. I am using Windows XP. I am using R.12.2 I installed both packages from the install packages menu. I always write library(name.of.library), and it is enough. But when I write library(nlme), R does not find nlme right away I load nlme first and it says package was downloaded succesfully. However, when I try to do this again in another day, R cannot find

Hello, I''m building some simple monitoring tools to watch zfs storage servers. Is this possible to run dtrace script for example 10 seconds? (Of course it is, I just trying to figure out how). Right know it has to be stopped by "CTRL-C" I''m particulary interested in scripts like iscsiio.d, iscsiwho.d from

Hi, all. I have R installed in my computer. I guess I did something in my previous session, and now every time I start R, I find the following message: "Fatal error: unable to restore saved data in .RData" I uninstalled R and installed it again and I'm still getting this message. Can anyone help me? Gilbert

Hi there, I'm using presence-absence data in a gam (i.e. 0 or 1 as values) I am trying to run a gam with 'dummy covariates' i.e. 1~1 unfortunately my model: * model<-gam(1~1, data=bats, family=negbin)* keeps putting out: * Error in gam(1 ~ 1, data = bats, family = negbin) : Not enough (non-NA) data to do anything meaningful* Is there a specific reason it would do this? I have

Hi, I'm trying to figure out common approach on calculating MA on a dataset that contains column "time". After digging around, I believe functions rollmean and rollaply should be used. However I don't quite understand the requirements for the underlying data. Should it be zoo object type? Formatted in a special way? As an example, I'm looking to get calculated

Okay first off here''s the error: 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.- Here''s the code in the model: def highest_bid @bid = nil @oldbid = 0 self.bids.each do |bid| if @bid == nil @bid = bid.max else if bid.max > @bid @oldbid,@bid =

Okay I''ve been working on a little biding system. In my model I have class Item < ActiveRecord::Base has_many :bids def highest_bid @bid = 0 self.bids.each do |bid| if @bid == nil @bid = bid.max else if bid.max > @bid @oldbid,@bid = @bid,bid.max end end end if @oldbid == 0 "#{@bid} - #{@oldbid+1} = #{@bid -= @oldbid+1}" else dif =

Hi, I am trying to create Bid/Ask for each second from a high volume stock and the only way I have been able to solve this is using loops to create the target matrix from the source tick data matrix. Looping is too slow and not practical to use on multiple stocks. For example: Bids Matrix (a real one is 400,000++ length): Bid Time 10.03 11:05:03.124 10.04 11:05:03.348 10.05

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"

Friends I have an xts that I wish to access. Browse[2]> DATA.ba[[p]]["2012-03-20 00:59:57","bid"] bid 2012-03-20 00:59:57 1.4993 So far so good. Now putting the index into a variable: Browse[2]> Time [1] "2012-03-20 00:59:57 NZDT" Browse[2]> DATA.ba[[p]][Time, "bid"] bid Where has it gone? Looking closer....

I've been looking into the effects package and it seems to be a great tool for plotting the probabilities of the response variable by the predictors. However, I'm wonder if I can use the effects package to plot the probabilities on the y axis and one predictor on the x axis, with the curve having the info for another predictor. So let's say our response variable is win, a binary

Is there some way to observe when an association is added in a habtm relationship? I know I could turn the relationship into a model, but I don''t want to give up using :include in my finds... joshua

I have the following data and am trying to find the percentage of bid values purchased for that price. So let's say I have a bid of 5 and it's sold 2 times for $3 and $5. Since the original bid was $5, the percentage of times that that bid value results in a sold purchase AT that specific bid level was 1/3 because of the three time where the bid was three, it ended up being sold for $5

I have a logit model with about 10 predictors and I am trying to plot the probability curve for the model. Y=1 = 1 / 1+e^-z where z=B0 + B1X1 + ... + BnXi If the model had only one predictor, I know to do something like below. mod1 = glm(factor(won) ~ as.numeric(bid), data=mydat, family=binomial(link="logit")) all.x <- expand.grid(won=unique(won), bid=unique(bid)) y.hat.new

Hi Friends I am new here and have a problem Year Market Winner BID 1 1990 ABC Apple 0.1260 2 1990 ABC Apple 0.1395 3 1990 EFG Pear 0.1350 4 1991 EFG Apple 0.1113 5 1991 EFG Orange 0.1094 For each year and separately for the two

i get the following error WARNING : no network interfaces found. when i run smbclient or nmblookup etc. the following is the settings in my computer. workgroup = TRIDENTMUMBAI security = domain password server = 10.160.128.152 netbios name = smbsys interfaces = 192.168.1.225 encrypt passwords = yes -- Get Your Private, Free E-mail from Indiatimes at http://email.indiatimes.com Buy the

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I have many text files in the format below and in certain rare instances such as below there can be nothing in one of the fields so a double comma is written but I won't know this because I am reading in many,many files sequentially. # TEXT FILE 2004-02-10 00:01:31.00000,,105.60000000 2004-02-10 00:01:32.00001,,105.60000000 2004-02-10 00:01:45.00000,,105.60000000 2004-02-10

Hi, I am using Scalar Evolution to extract access expressions (for load and store instructions) in terms of the loop induction variables. I observe that the Scalar Evolution analysis is returning more expressions than I expect - including ones that are not defined in terms of the loop induction variable. For instance in the following code: for(unsigned long int bid = 0; bid < no_of_queries;

this one is not a false alarm like my previous message. i have cut and paste the code below so if anyone could run it would be appreciated. basically, my question is why the horizontal axis of the acf plot is labelled with such huge numbers when the labels should be 1 through 10 since may lag.max = 10 ? i looked at the cdoe of acf but it was pretty much beyond me. i think it has something to