search for: date_ent

I have two datasets, big and small. s_date<-c(?2005-12-02?, ?2005-12-01?, ?2004-11-02?,?2002-10-05?,?2000-12-15?) s_id<-c(?a?,?a?,?b?,?c?,?d?) b_date<- c(?2005-12-31?, ?2005-12-31?, ?2004-12-31?,?2002-10-05?,?2001-10-31?,?1999-12-31?) b_id<-c(?a?,?b?,?c?,?d?,?e?,?c?) small<-data.frame(date_=as.Date(s_date),id=s_id) big<-data.frame(date_=as.Date(b_date),id=b_id) For each row

Dear R Gurus, Thanks for any help in advance! Date.frame: Returns.names X id ticker date_ adjClose totret RankStk 258060 258060 13645T10 CP 2001-06-29 18.125 1877.758 My data frame is in the above format. I would like to filter by period, per id (every 125 days) each consisting of 250 days, I.e. 1-250, 126-375, etc. One important thing to note is that not all

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”)

Within an R dataset, I have a date field called “date_”. (The dates are in the format “YYYY-MM-DD”, e.g. “1995-12-01”.) How can I add or subtract “1 month” from this date, to get “1996-01-01” or “ “1995-11-01”. --------------------------------- [[alternative HTML version deleted]]

Hey Everyone, I have been stumped by this all day. Basically, I have a data.frame of multiple columns. Of concern are "id" & "date" For some reason, oftentimes there are duplicates of data with the same date. I would like to remove the duplicates per different id (removing duplicate dates for the entire data.frame would leave nothing since different id's all have

Data processing? I have a large number of csv files from animal tracks that look like this: Date_ Time_ Speed Course Type_ Distance 30/03/2012 11:15:05 108 121 -2

I''m doing some incremental improvements on scaffolding, and want to add in-place editing to an admin section. I think I may have the view part working right (at least, the editor pops up as expected) with this in my view: ### <% for link in @links %> <tr> <td> <div id="<%= ''url'' + link.id.to_s -%>"><%= link.url

Sample Data.Frame format Name is Returns.nodup X id ticker date_ adjClose totret RankStk 427225 427225 00174410 AHS 2001-11-13 21.66 100 1235 "id" uniquely defines a row What I am trying to do is filter out id's that have less than 1500 data points (by date) First, I used total<-by(Returns.nodup, Returns.nodup$id,nrow) which subsetted by

Hello Everyone, I just started a new job & it requires heavy use of R to analyze datasets. I have a data.table that looks like this. It is sorted by ID & Date, there are about 150 different IDs & the dataset spans 3 million rows. The main columns of concern are ID, date, and totret. What I need to do is to derive daily returns for each ID from totret, which is simply totret at time

Hello all, A quick question concerning a behavior of reshape I fail tu understand, probably something obvious but I just can't see it. With the following data frame further referred to as tab :