similar to: stacking consecutive columns

I can't understand what is happening. This is the code and results: > agoa <- read.table(file = "C:/Users/HTPC/Documents/_Documents/Research/WithDidia/AGOAUSImports.txt", header = T, sep = "\t", dec = ".", na.strings = "NA", stringsAsFactors = T)# > str(agoa); names(agoa) 'data.frame':109 obs. of  19 variables:  $ X    : Factor w/ 39

I am just beginning to use Sweave with Lyx on a Mac (R2.8.1). I have 12 chunks of Sweave code that work fine, but this piece: <<>>= library(car)

#I am having trouble figuring out this one. I have read the help and I am at a loss. what am I missing x <- structure(list(X = structure(c(6L, 5L, 9L, 2L, 10L, 8L, 7L, 3L, 13L, 12L, 11L, 4L, 1L, 1L, 1L), .Label = c("", "April", "August", "December", "February", "January", "July", "June", "March",

Hello All, I have the following dataset: Year 2006 2007 Jan Jan 0.0204 0.0065 Feb Feb 0.0145 0.0082 Mar Mar 0.0027 0.0122 > dput(d_tmp) structure(list(Year = c("Jan", "Feb", "Mar"), `2006` = c(0.0204, 0.0145, 0.0027), `2007` = c(0.0065, 0.0082, 0.0122)), .Names = c("Year", "2006", "2007"), row.names = c("Jan",

#this is a subset of a larger data frame and I am okay with subsetting it as there are redundant time stamps, but I would like to create a zoo object out of this and I am having a hard #time figuring out how to do this the date structure is year and then month x <- structure(list(Yearmonth = structure(c(12L, 24L, 1L, 13L, 14L, 3L, 15L, 4L, 16L, 5L, 17L, 6L, 18L, 7L, 19L, 8L, 20L, 9L, 21L,

Hi all, how can I divide two tables of the same dimension so that all names are preserved, ie do not become NA? I have "tab1" and "tab2", each having names in the first column. I want "tab3" with the same names and values "tab1/tab2". Thanks, Serguei

Short: get rid of the loops I use and optimize runtime Dear all, I want to calculate for each row the amount of the month ago. I use a matrix with 2100 rows and 22 colums (which is still a very small matrix. nrows of other matrixes can easily be more then 100000) Table before Year month quarter yearmonth Service ... Amount 2009 9 Q3 092009 A ...

Hi List, The following code returns an "Error in as.POSIXlt.character(x, tz, ...) : character string is not in a standard unambiguous format" require(raster) require(rts) require(stringi) r <- raster(ncol=100, nrow=100) values(r) <- runif(ncell(r)) list(ID=seq(1:24),month=rep(str_pad(1:12, pad = 0,width = 2 , "left"),2),year=sort(rep(2016:2017,12)))->dt

Folks, I have a data frame with columns 200401, 200402, ..., 201207, 201208. These represent years/months. What would be the best way to sum these columns by year? What about by quarter? Thanks for your time, KW -- [[alternative HTML version deleted]]

Hi all, I'm once again looking for search with date ranges. e.g. All entries before a certain date. I understand that Omega does this by adding keywords for each year, month and day number separately and construcing a big OR query year = 1980 or year = 1981 or year = 1982 .... or (year = 1983 and (month =1 or month = 2 ...)) I think Olly said he was considering adding something to Xapian,

Hello I am running Windows Vista 32 with 4 GB (installed, though Windows of cours= e only recognizes 3326 MB, as reported by Windows "My Computer") I am running R 2.7.1 I was trying to read in a comma delimited single column CSV file, assign th= at file to a variable ("data") and then extract a sample (assigned to "part= ial"). I was getting memory allocation

> On Mar 5, 2018, at 3:28 PM, <Alexander.Herr at csiro.au> <Alexander.Herr at csiro.au> wrote: > > Hi List, > > The following code returns an "Error in as.POSIXlt.character(x, tz, ...) : character string is not in a standard unambiguous format" I'm unable to produce that error. Which function was being evaluated to produce the error? I don't see

Hi Herry, This is probably due to a call to strptime (or similar). No, it doesn't accept %Y-%m as a valid format. Maybe add a constant day to all the dates as that will work: dt<-list(ID=seq(1:24),month=rep(formatC(1:12,flag=0,width=2),2), year=sort(rep(2016:2017,12))) timelst<-paste(unlist(dt['year']),unlist(dt['month']),"01",sep="-")

Last line in the following (updated) code produces the error require(raster) require(rts) require(stringr) r <- raster(ncol=100, nrow=100) values(r) <- runif(ncell(r)) stack(r)->s r->rs for(i in 1:23){ rs[]<-r[]*i addLayer(s,rs)->s print(nlayers(s)) } dt<-list(ID=seq(1:24),month=rep(formatC(1:12,flag=0,width=2),2), year=sort(rep(2016:2017,12)))

Rob J Hyndman gives great explanation here (https://robjhyndman.com/hyndsight/estimation/) for reasons why results from R's arima may differ from other softwares. @iacobus, to cite one, 'Major discrepancies between R and Stata for ARIMA' (https://stackoverflow.com/questions/22443395/major-discrepancies-between-r-and-stata-for-arima), assign the, sometimes, big diferences from R

#I would like to use the below data to make a scatter plot matrix with #code similar to that below the data #conceptually this is the right approach I think #thanks in advance melt.gg <- structure(list(stream = c("Bonham Lower", "Bonham Lower", "Bonham Lower", "Bonham Lower", "Bonham Lower", "Bonham Lower", "Bonham Lower",

Dear all, I tried to rerun the examples given by Hyndman in otexts but keep on getting errors and I have searched through google but no solution yet. Thank you in advance for any help given. library(fpp3) library(lubridate) library(xts) library(fabletools) library(ggplot2) library(dplyr) library(gridExtra) > dput(head(new_us_retail_employment,100))structure(list(Month = structure(c(-11323,

I see no bug here. R is telling you that you have insufficient memory available: see also ?"Memory-limits". See also rw-FAQ Q2.9. Note that we don't have a reproducible example and in particular have no idea of how many columns this data frame has. The 'R Data Import/Export' manual gives you many hints on how to do this more efficiently, and it is referenced from the

Hello all, I am trying to minimize a function which contains a double integral, using "nlminb" for the minimization and "adapt" for the integral. The integral is over two variables (thita and radiusb) and the 3 free parameters I want to derive from the minimization are counts0, index and radius_eff. I have used both tasks in the past successfully but this is the first time

I can't test that at the moment as I don't have the libraries. Perhaps later. Jim On Tue, Mar 6, 2018 at 11:36 AM, <Alexander.Herr at csiro.au> wrote: > Last line in the following (updated) code produces the error > require(raster) > require(rts) > require(stringr) > r <- raster(ncol=100, nrow=100) > values(r) <- runif(ncell(r)) > stack(r)->s >