similar to: Changing the frequency of time series

Given: data(AirPassengers) I get a ts data structure AirPassengers in the workspace. How can I generate the code that can create that structure? That is, given an example of a data structure, is there a way to generate the code that can greate that structure? Alternatively, is there a reference that provides a list of dta structures together with a full list of theor respective attributes?

Given a<-"c(1,2,3,4,5)" How can  I evaluate the variable a to return a (numeric) vector comprising of 1,2,3,4,5? Thanks. [[alternative HTML version deleted]]

Having to collect hourly electricity loads and quarter-of-an-hour electricity production data for some years I think that the tidiest way of doing it is to resort to ts but I don't know how to define such a frequency starting from a set date. Leafing through r-help mail archives I've found this *ALMOST* satisfactory message: ==========================================================

data(AirPassengers) brings AirPassengers into the workspace. How can I  idenfity what the structure of AirPassengers is? Is it a data.frame, a table etc. etc. [[alternative HTML version deleted]]

Hi All, I have a very simple question about a time series object: how to access values for a particular year and quarter (say)? Suppose, following http://www.stat.pitt.edu/stoffer/tsa2/R_time_series_quick_fix.htm I have read in data as a time series; here is how it looks. * Qtr1 Qtr2 Qtr3 Qtr4 1960 0.71 0.63 0.85 0.44 1961 0.61 0.69 0.92 0.55 . . . . .

The "R Language Definition" at http://cran.r-project.org/doc/manuals/R-lang.html states in the following section 4.3.2 Argument matching This subsection applies to closures but not to primitive functions. What are 'closures'? [[alternative HTML version deleted]]

I am looking for a means to call Win32 API calls from R for Windows. Is that possible? Thanks. [[alternative HTML version deleted]]

I haven't been able to find an example of using R with interactive = FALSE. How do I start R such that 1. it loads a workspace 2. then starts execution with a function (in that workspace) that I choose 3. exits on completion Thanks. [[alternative HTML version deleted]]

Given studentNumbers<-10; subjEnglish<-sample(-1:100,studentNumbers,replace=TRUE); when subEnglish <=0, 'U'                         <=39, 'F'                         <=49 'D'                         <=59, 'C'                         <=69, 'B'                         <=79,'A'                         <=100 'A+' I

If I create a data.frame using session variables as follows: classResults<-data.frame(subjEnglish,gradeEnglish,subjFrench,gradeFrench,row.names=studentName) How can I remove the variables? I tried > rm(names(classResults)) Error in rm(names(classResults)) :   ... must contain names or character strings Also, how can I include the row.names variable. I tried > names(classResults)

savehistory writes all the executed lines from the session. How can I write everything (executed lines and output) from the active session to a file? Using Edit | Select All then Edit Copy, I can copy everything to the clipboard and write the whole thing to a file manually. If I just used the clipboard, I can paste the whole content into another edittor (for documentation). Is there a way to

I'm trying to convert a column of a table into a ts object. The data is monthly, so I want the ts frequency to be 12. I did this ... > filings.ts = as.ts(Filings.100K, frequency=12) > filings.ts Time Series: Start = 1 End = 311 Frequency = 1 [1] 246.9336 305.6789 ... ... > tsp(filings.ts) [1] 1 311 1 > tsp(filings.ts) <- c(1,311,12) Error in attr(x, "tsp")

Hi, I'd like to make a time series at an annual frequency. > a<-xts(x=c(2,4,5), order.by=c("1991","1992","1993")) Error in xts(x = c(2, 4, 5), order.by = c("1991", "1992", "1993")) : order.by requires an appropriate time-based object > a<-xts(x=c(2,4,5), order.by=1991:1993) Error in xts(x = c(2, 4, 5), order.by =

# Dear List, # I want to characterize a time series according to its Quarter components. # My data ("a.ts": http://docs.google.com/View?id=dfvvwzr2_478cr9k4cdb)? look like: #???????????????? Qtr1????????? Qtr2????????? Qtr3????????? Qtr4 #?? 1948 -0.0714961837? 0.0101747827? 0.0654816569 -0.0227830729 #?? 1949 -0.1175517556? 0.1151378692? 0.1015777858 -0.1971535900 #?? 1950?

Dear R People: I have a weekly time series. How do I put this into the ts command, please? That is, what do I use for frequency, please? R version 1.5.1 for Windows. Thanks in advance. Sincerely, Erin mailto: hodgess at uhddx01.dt.uh.edu -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html

Hello! Recently I got report that my package mar1s doesn't pass checks any more on R 3.0.2. I started to investigate and found the following difference in multivariate time series handling in R 3.0.2 compared to R 2 (I've checked on 2.14.0). Suppose I wish to calculate seasonal component for time series. In case of multivariate time series, I wish to process each column independently.

This is copy & paste from my session: > xyz<-as.vector(c(ls(),as.matrix(lapply(ls(),class)))) > dim(xyz)<-c(length(xyz)/2,2) > > allobj<-function(){ + xyz<-as.vector(c(ls(),as.matrix(lapply(ls(),class)))); + dim(xyz)<-c(length(xyz)/2,2); + return(xyz) + } > xyz       [,1]              [,2]        [1,] "a"               "character"  [2,]

Consider the following scrap of code: > x<- ts(1:50,start=c(1,11),freq=12) > y <- aggregate(x,nfreq=4) > c(y) [1] 6 15 24 33 42 51 60 69 78 87 96 105 114 123 132 141 > y Error in rep.int("", start.pad) : invalid number of copies in rep.int() > tsp(y) [1] 1.833333 5.583333 4.000000 So we can aggregate into quarters, but we cannot print it using

Consider the following scrap of code: > x<- ts(1:50,start=c(1,11),freq=12) > y <- aggregate(x,nfreq=4) > c(y) [1] 6 15 24 33 42 51 60 69 78 87 96 105 114 123 132 141 > y Error in rep.int("", start.pad) : invalid number of copies in rep.int() > tsp(y) [1] 1.833333 5.583333 4.000000 So we can aggregate into quarters, but we cannot print it using

Hello, I am trying to conduct a time series analysis on historic hydrologic data, but I cannot coerce it into class ts because it does not have regular sampling intervals (some years have 20 samples, other have 8). Specifically I am trying to perform a CUSUM or or other step change detection, but the packages all seem to require data as ts. Is there a way to coerce my data into ts while