similar to: Iterate over a list of input files?

Hi, I wonder if someone can suggest how to create a new data.frame Y from X where X$PL_Pos is summed by each unique X$MyDate. Y should end up with two (or more) columns Y$MyDate and Y$PL_Sum with its value being the cumsum of all the values in X for that date. - a 'daily cumsum'. Thanks, Mark TStoDate = function (TSDate) { X = strptime(TSDate + 19e6L, "%Y%m%d")

Thanks! This is helpful. Three more questions. 1. How to convert a string into a numeric value. For example, convert '20010122' to 20010122. 2. How to convert a string into a date value. For example, convert 20010122 to 2001 Jan 22, and get its day of the week, i.e. Monday? 3. How to handle date variables in a loop? How to make the following codes work? And how users should pass the

Hi R, How to get the range of values form startDate to lastDate as given below?. #***************************************************************** # Load historical data #****************************************************************** library('quantmod') endDate =Sys.Date() startDate = as.Date(endDate-30, order="ymd") dataspy = getSymbols("SPY", from = startDate,

Dear R helpers, I have some difficulties in using ''break'' function with loop, and the followings are my script. What I try to do is (1) permute ''or'' first; (2) doing t-test if this ''or'' pass criteria 1 (k=1); (3) end the loop when I get 10 permutations; (4) redo everything again but this time use criteria 2 (k=2) (I have more criteria 1:n).

Hi together I'm pretty new to R, so excuse me if it is a basic question. I have a big dataset (extract of it found in the attachment) of returns from firms. I'd like to compute the Pearson correlation of each firm with the "Market" and the corresponding p-Value. So I thought of making a list of 'cor.test's and then extract the needed values with a for loop. What I did so

Hello, I have trouble with saving and showing candlestick graph. I want to draw daily 1-minute candle chart per each day and save it repeatedly. The data I saved and is used in my code is as the following format: ----------------------------------------------------- Index,Open,High,Low,Close # header 2011-11-01 9:00:00 ,248.50,248.95,248.20,248.70 ... 2011-11-01 15:15:00

Hi, guys: Strange search result with conditions in find_by_contents! first of all, i''ve installed the acts_as_ferret to my project vender folder by ''ruby script/plugin install svn://projects.jkraemer.net/acts_as_ferret/tags/stable/acts_as_ferret'' in my SearchController def searchforum if !params[:doSearch].nil? if params[:searchTerms].nil? || params[:searchTerms] ==

Hello I have been struggling with this simple looking problem. I have two dataframes. The first one contains ID, date, and revenue information for specific suppliers. id lastdate depvar A 5/10/2017 10 B 8/16/2017 20 C 2/14/2017 30 D 9/5/2017 40 E 8/1/2017 50 F 11/4/2017 60 G 6/22/2017 70 The second dataframe contains timeseries data of each supplier in different columns. For example Column A are

Hi,there, I am using R package "boot" to bootstrap. I have one question here: does anybody possibly know how the boot package generates the "indices" which is used in the statistic function? I thought "indices = sample(data, replace=TRUE)", but when I replaced "indices" with this command and used "boot", I got different results. Specifically,

Hi My data looks like this startDate="2008-06-01" dateRange =c( "2008-10-01","2008-12-01") Is there any method to find the week number from the startDate range ----- Thanks in Advance Arun -- View this message in context: http://r.789695.n4.nabble.com/Week-number-from-a-date-tp4410223p4410223.html Sent from the R help mailing list archive at Nabble.com.

In my model Topic: acts_as_ferret({ :fields => {:username => {:store => :yes, :boost => 30}, :subject => {:store => :yes, :boost => 20}, :body => {:store => :yes, :boost => 10}}, :remote => true }, { :analyzer => Ferret::Analysis::RegExpAnalyzer.new(/./, false) }) def self.full_text_search(q, options = {}, find_options = {}) return nil if q.nil? or

Martyn, you write > I don't think restart() is necessary - it just seems like an invitation to > bad programming to me. It's needed when comparing, say, the time to convergence (if at all) of various iterative processes, for each of a few hundred simulated values. For example one wants basically function(data){ summary<-rep(NA,1000) for(i in 1:1000){

Dear R-SIG-Debian, I am using R version 3.1.2 with rstudio-server 0.98.113 on debian build 3.2.0-4-amd64 #1 SMP Debian 3.2.68-1+deb7u1 x86_64 GNU/Linux. I often use the %dopar% operator in from the foreach package to run code in parallel. However, the only other use on the box seemingly installed a few items and suddenly %dopar% will use far more than the number of cores I am specifying and

#I wish to create a "list of three dataframes" ("results2") from a "list of two dataframes" (temp) and a dataframe ("c")? #Please advise. a <- data.frame(x=c(1,2,3),y=c(5,7,9)) b <- data.frame(x=c(2,4,7,9),y=c(2,3,5,4)) c <- data.frame(x=c(22,34,7,9),y=c(52,63,5,4)) results1 <- list(a,b,c) #what I want #but this is how I need to get there

Suppose we have files in one folder file1.bin, file2.bin, ... , and 1460slice(file) with dim of 720 * 360 in directory C:\\PHD\\Climate Data\\Wind\\ and we want to read them and make a loop to go from 1 to 4 and take the average, then from 4 to 8 and so on till 1460. in the end we will get 365 files . I need those 365 files to be in one new folder for later use in my model I tried using this

The floating-point expectations allow for an error tolerance. Is there any similar facility for dates? For example, say I have a custom class that handles date/time spans and I want to spec it: context "A DateRange span" do specify "should know when a week ago is :)" do d = DateRange.new d.last_week.should_be_close_to(1.week.ago, 24*60*60) end end The idea

Hi, this is more a general statistics question I think. I am working on a system which automatically answers user questions (such systems are commonly called "Question Answering systems"). I evaluated different versions of the same system on a publicly available test set. This set contains 500 question. Naturally, for each question the answer can be wrong or right, which is coded as

I am calculating the mean of each column grouped by the variable 'id'. I do this using aggregate, data.table, and plyr. My aggregate results do not match the other two, and I am trying to figure out what is incorrect with my syntax. Any suggestions? Thanks. Here is the data. myData <- structure(list(var1 = c(31.59, 32.21, 31.78, 31.34, 31.61, 31.61, 30.59, 30.84, 30.98, 30.79, 30.79,

If i remove any one of scopes having clause then the above action works perfectly . Is there any way to like- @model = Model.vacant_list(daterange) and then remove the active record relation and then apply @model.amenity_type(term). I tried lots of things but didnt find any solution for this..... Full question listed here

The boxplot below is close to what I would like, but needs some clean up. I've been unable to address the following: 1) How can I use the full extent of the plot space (there is white space on either side of the data)? 2) How can I reduce the # of month labels (e.g. every 3rd month Jan Mar Jun...) but still keep them staggered? 3) The year labels at the top of the plot have been positioned