similar to: Getting the last day of the month.

Folks, This question is somewhat related to a previous posting of mine. I just can't seem to create a generic solution. Here is a function that I found searching around the internet: splitIt <- function(x, n) {split(x, sort(rank(x) %% n))} I use it like so: > splitIt(1:12, 2) $`0` [1] 1 2 3 4 5 6 $`1` [1] 7 8 9 10 11 12 Or > splitIt(1:12, 4) $`0` [1] 1 2 3 $`1` [1] 4 5 6

Hi, I have a simple beginner's question on removing a list of objects. Say I have objects C243.Daily1, C243.Daily2...C243.Daily5 in my workspace. I'd like to remove these without using rm five times. So I write. > a <- list(paste("C243.Daily",sep="",1:5)) > rm(a) Obviously this wouldn't work, as it would only remove the object a. But is there any way

Hi, I have some confusion in applying a function over a column. Here's my function. I just need to shift non-March month-ends to March month-ends. Initially I tried seq.dates, but one cannot give a negative increment (decrement) here. return(as.Date(seq.dates(format(xdate,"%m/%d/%Y"),by="months",len=4)[4]) ) Hence this simple function: > mydate <-

Hi, Apologies for the long mail. I have a data.frame with columns of price/mcap data for a portfolio of stocks, and the date. To get the total value of the portfolio on a daily basis, I calculate rowSums of the data.frame. > set.seed(1) > ab <- matrix(round(runif(100)*100),nrow=20,ncol=5) > ab[1:5,4:5] <- NA > ab[6:10,5] <- NA > ac <- as.data.frame(ifelse(ab <=

Hi, A quick beginner's question. I have two time series, A with daily data, and another B with data at varying frequencies, but mostly annual. Both the series are sorted ascending. I need to merge these two series together in the following way: For any entry of A, the lookup should match with B until we find an entry of B that's larger than A's. For all A[i], i = 1,...,N and B[j],

Hi, Quick question: Say I have a date variable in a data frame or matrix, and I'd like to preserve the date format when using write.table. However, when I export the data, I get the generic number underlying the date, not the date per se, and a number such as 11323, 11324, etc are not meaningful in Excel. Is there any way I can preserve the format of a date on writing into a text-file? TIA

Hi, I have a history dataset, a matrix with about 1590 obs, and 242 cols, and I need to update this matrix with an 'update' matrix that has about 30 rows, and roughly similar number of columns as the history ds (but not necessarily equal). The update dataset is read from an Excel ODBC connection. When I try and merge these datasets, I get counter-intuitive results. library(RODBC) chn

Hello, I'm trying to develop a box plot of time series data to look at the range in the data values over the entire period of record. My data initially starts out as a list of hourly data, and then I've been using this code to make this data into the final ts array. # Read in the station list stn.list <- read.csv("/home/kbennett/fews/stnlist3", as.is=T, header=F) # Read in

Can R invert a 160000x160000 matrix with all positive numbers? Thanks a lot!

Dear R experts, I have a dataframe imported from a csv file (with read.csv). Here is an example: yyyymm<- c("19860228", "19860331","19860430","19860531") id<-c("10000","10000","10000","10000") re<- c("C","0.25", "0.98", "1.34") mret<-data.frame(yyyymm, id, re)

Dear anyone who knows more about R than me (so everyone). I have been bashing my head on the keyboard all day trying to do something with my table. I have some data, like so: yyyy-mm Rainfall(mm) 1 1977-02 17.4 2 1977-03 34.0 3 1977-04 26.2 4 1977-05 42.6 5 1977-06 58.6 6 1977-07 23.2 7 1977-08 26.8 8 1977-09 48.4 9

I need to merge three datasets and don't know how. If I were using SQL, I would use df3, look up the characteristics of each date in df1 and the value for each observation in df2. df1 - unique list of Dates and characteristics of those dates Date, YYYYMM, YYYYWW, DOW df2 - the raw data Date, Place, Value df3 - all posibile combinations of Date + Place (via

On 04/11/2017 10:20 PM, Daniel Nordlund wrote: > Tirthankar, > > "random number generators" do not produce random numbers. Any given > generator produces a fixed sequence of numbers that appear to meet > various tests of randomness. By picking a seed you enter that sequence > in a particular place and subsequent numbers in the sequence appear to > be unrelated.

Dear R experts, For quite some time I have been trying to solve a mistery of reading a seemingly trouble-free text file. The data is temperature reconstruction arranged as a huge grid, preceded by seven "header lines" (which you see better if file is opened in Firefox or Chrome). This is the data (gridded temperature reconstruction)

Bill, Appreciate the point that both you and Serguei are making, but the sequence in question is not a selected or filtered set. These are values as observed in a sequence from a mechanism described below. The probabilities required to generate this exact sequence in the wild seem staggering to me. T On Fri, Nov 3, 2017 at 11:27 PM, William Dunlap <wdunlap at tibco.com> wrote: >

Bill, I have clarified this on SO, and I will copy that clarification in here: "Sure, we tested them on other 8-digit numbers as well & we could not replicate. However, these are honest-to-goodness numbers generated by a non-adversarial system that has no conception of these numbers being used for anything other than a unique key for an entity -- these are not a specially constructed

Hi, There's no client activity and I have collected tcpdump for 5 mins on one of the glusterFs sever which is also a client with gluster NFS mount. From tcpdump I see that for every few seconds, STAT & STATFS commands are run. For whichctory are these commands being run and why? Regards, Jeevan. -------------- next part -------------- An HTML attachment was scrubbed... URL:

I have a vector that contains month and year in the format YYYYMM (e.g.“200701”, “200702”) I wish to do to things: 1. I need to convert to a date that is the last calendar day of each month. 2. I need to convert this to a date that is the last U.S. stock-exchange trading day of each month. Any advice is appreciated, mymonths <- c(200701, 200702)

Hi, I am trying to understand how the extended attribute trusted.io-stats-dump works. setfattr -n trusted.io-stats-dump -v /tmp/gluster_perf_stats/io-stats-pre.txt /mnt/gluster/gv0_glusterfs I can see that the io-stats-pre.txt is created. But how and what happened in the background? And why I can't I see the attribute with getfattr again? getfattr -dm- /mnt/gluster/gv0_glusterfs # file:

Hi, Can I get a brief description of all the FOPS in gluster or the location of the source code file so that I will try to get an understanding myself? Few FOPS I'm not clear like FORGET, UNLINK, FLUSH, LOOKUP Or is there a way I can tunnel through the FOPS that that are happening in the background for each operation? I have tried this to find from a brick logfile in TRACE mode, but there