similar to: data frame: adding columns from data and file title

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]]

Hello, I am using dovecot 2.3.2 on my private email server in conjunction with: centos 7.5 apache 2.4.6 mariadb 10.2.16 roundcube mail 1.3.6 php 5.6.36 postfix 2.10.1 I have one mailbox with nearly 30k messages in it dispersed across several folders. it's often very slow in refreshing the message list, especially in the one largest 25k+ message folder. is this simply to be expected

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

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

I think that the relevant part in C11 is section 6.2.6.1, which tells you that accessing a trap representation, _other than using a char type_, is undefined. Objects of automatic storage, which don't have an initializer are of indeterminate value, which either is an unspecified value or a trap representation. > What I found is that with -O2: > LLVM (trunk) prints both "a" and

Hi. Q. Is there a way to record a plot using grDevices::recordPlot() without opening an interactive (=visible GUI window) graphics device (not even for a flash of a second)? Related: help("recordPlot", package="grDevices") says: "These functions record and replay the displaylist of the current graphics device." Is the intention that recordPlot() should be able to

This little "hack" fixes the use of OpenCL global memory buffers with nouveau, but clearly the #if 0 is not a solution as it breaks buffers with GLSL. The reason I'm posting this as an RFC patch is to discuss how to solve this properly, 2 solutions come to mind: 1) Use separate nv50_ir::FILE_MEMORY_xxx values for buffers versus TGSI_FILE_MEMORY with TGSI_MEMORY_TYPE_GLOBAL,

I figured I pose this to the list and see if any one can build a better mousetrap. The problem: 1. Store hierarchical data in a database, but without knowing the hierarchy beforehand. 2. Allow the user to define there own hierarchy, and allow the system to support multiple hierarchies. Call it a cataloging system, we have an object and we want to add data about that object to the system. Now

Hi, On 14-03-16 16:05, Ilia Mirkin wrote: > There's a less hacky and more hacky way forward. The more hacky solution is > to set file index to -1 or something and then not do the lowering when you > see that. > > The less hacky solution is the one you proposed as #1 - introduce a new > file for "buffer" memory and lower it to the global file by adding a base >

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 :

Hello, I was wondering about the case below. I tried to find any information in C standard, but I found nothing. In this case, variable "i" is uninitialized, but it is the _same_ value passed as an argument, so only of "a" or "b" should be printed. What I found is that with -O2: LLVM (trunk) prints both "a" and "b" GCC (4.2) prints both

It sounds like the Android RenderScript guys have the most in-the-trenches experience with bitcode incompatibilities. Stephen Hines (CC'd), what sorts of incompatibilities have you guys seen during the 3.x timeline? Would Steven Wu's proposal catch the sorts of incompatibilities that you guys have seen? -- Sean Silva On Thu, Nov 6, 2014 at 4:38 PM, Steven Wu <stevenwu at apple.com>

Hi, On 14-03-16 16:41, Samuel Pitoiset wrote: > > > On 03/14/2016 04:28 PM, Hans de Goede wrote: >> Hi, >> >> On 14-03-16 16:05, Ilia Mirkin wrote: >>> There's a less hacky and more hacky way forward. The more hacky >>> solution is >>> to set file index to -1 or something and then not do the lowering when >>> you >>> see

Hi, this series cleans up the Python sources, either static or generated, including also tests, to make them PEP 8 compliant; see https://www.python.org/dev/peps/pep-0008/ and tools like pep8. Almost all the issues reported by pep8 are fixed, reducing the issues from 3818 to 7. The changes should have no effect on the actual code, while it will help Python users with consistency with other

Hello, I have a data frame that looks like this (containing interarrival times): > str(df) 'data.frame': 18233 obs. of 1 variable: $ Interarrival: int 135 806 117 4 14 1 9 104 169 0 ... > head(df) Interarrival 1 135 2 806 3 117 4 4 5 14 6 1 > This corresponds to the time differences (in ms) of a poisson arrival

Further pursuing my curiosity to measure the efficiency of R/C++ interface, I conducted a simple matrix-vector multiplication test using .C and .Call functions in R. In each case, I measured the execution time in R, as well as inside the C++ function. Subtracting the two, I came up with a measure of overhead associated with each call. I assume that this overhead would be non-existent of the entire