similar to: Specify custom par(mfrow()) layout for defined plot()

Hi, I'm a new user or R and I try to concatenate a several rows according with the value in a column. this is my data.frame and I want to concatenate my data.frame according with the column "b" and make a new data.frame with the information in the others columns. >table1 a b c d 1 E001234 TSA IP234 like_domain 2

The "tsdiag" function in the TSA package overrides the "tsdiag" function in the "stats" package. There are a few annoying bugs in the TSA's version of the function so I would like to use the "stats" function but still have access to other TSA functions. I have tried using stats::tsdiag( ) but as long as the TSA package is attached the function from

Hola usuarios, Necesito detectar si existe o no un cambio de tendencia y si dicho cambio es significativo, para una serie temporal del tipo AirPassengers, en la que a partir de un determinado momento se ha hecho una campaña (supongamos que una promoción de vuelos). Para ello he pensado varios métodos: Usar la descomposición espectral de la muestra [decompose(AirPassengers)] y luego una Regresión

Hello all, i'm a newbie of R trying to make some statistical work in R environment. Now i have to laptops, one is Thinkpad X40 with Debian Lenny and the other is Thinkpad T43 with Ubuntu 8.10. Recently i met such problem and am wondering if anybody can do some help. After upgrading my /etc/apt/sources.list , i install R by apt-get install command. It works fine in both laptops. Then i

Hello all, i'm a newbie of R trying to make some statistical work in R environment. Now i have to laptops, one is Thinkpad X40 with Debian Lenny and the other is Thinkpad T43 with Ubuntu 8.10. Recently i met such problem and am wondering if anybody can do some help. After upgrading my /etc/apt/sources.list , i install R by apt-get install command. It works fine in both laptops. Then i

Dear R People: In the function "decompose", the object has the class of "decomposed.ts". (from package stats) I would like to see the class definition and the method for the plotting. However, when I use isClass("decomposed.ts") I get "FALSE". When I check getMethods("plot") there is no method for plot on decomposed.ts Any suggestions,

Hi R Users, I'm fairly new to R (about 3 months use thus far.) I wanting to use the arimax function from the TSA library to incorporate some exogenous inputs into the basic underllying arima model.Then with that newly model of type arimax, I would like to make a prediction. To avoid being bogged down with issues specific to my own work, I would like to refer to readers to the example

Dear list, I am trying to re-analyse something. I do have two time series, one of which (ts.mar) might help explaining the other (ts.anr). In the original analysis, no-one seems to have cared about the data being time-series and they just did OLS. This yielded a strong positive correlation. I want to know if this correlation is still as strong when the autocorrelations are taken into account.

Liu Xin <navy.xliu at gmail.com> writes: > Hi, LLVM community, > > I write some code in hand using LLVM IR. for simplicity, I write them in <4 > x float>. now I found some stores for elements are useless. > > for example, If I store {0.0, 1.0, 2.0, 3.0} to a <4 x float> %a. maybe > only %a.xy is alive in my program. our target doesn't feature SIMD >

In Ubuntu 10.04, from the R command line install.packages('TSA',dep=TRUE) downloads & installs about 100 packages from CRAN, including some big ones like Zelig. It's only supposed to depend on leaps, locfit, mgcv, & tseries & through them akima, lattice, quadprog, zoo, & stats. Not a big problem of course, but I wondered if anyone else had noticed this behaviour.

Hello R-users I am getting error messagens when I require some packages or execute some procedures, like these below: > require(tseries) Loading required package: tseries Error in get(Info[i, 1], envir = env) : cannot allocate memory block of size 2.7 Gb > require (TSA) Loading required package: TSA Loading required package: locfit Error in get(Info[i, 1], envir = env) : cannot

Hi, I'm trying to model an ARMA(1,[1,4]), i.e. I want only lags 1 and 4 of the Moving Average part. It's the '[1,4]' part that is giving me a problem. I've tried different arma's and arima's in different packages, namely: packages tseries, fArma, FinTS, timeSeries, TSA, Zelig, ds1, forecast For example, with package FinTS: > ( ARIMA(y, order=c(1,0,c(1,4))) )

Is there any way to give a "decent" title after I plot something generated by decompose? For example: # generate something with period 12 x <- rnorm(600) + sin(2 * pi * (1:600) / 12) # transform to a monthy time series y <- ts(x, frequency=12, start=c(1950,1)) # decompose z <- decompose(y) # plot plot(z) Now, the title is the ugly "Decomposition of additive time

Hi This is my function. It serves an HTML page after the calculations. I'm connecting to a MSSQL DB using pyodbc. def CAPM(self,client): r=self.r cds="1590" bm="20559" d1 = [] v1 = [] v2 = [] print"Parsing GET Params" params=client.g[1].split("&") for items in

I've been trying for the past 3 weeks to use R (much better than Matlab but I am very bad with computers so I am very new to all of this) and know how to input the data (hey, it's a start!) but every time I type in the following: dcm <- decompose(information) I get the following error message: Error in decompose(information) : time series has no or less than 3 periods Could you

Hi, Richard, I think we are solving a same problem. I am working on shader language too. I am not satisfied with current binaries because vector operations are kept in llvm opt. glsl shader language has an operation called "swizzle". It can select sub-components of a vector. If a shader only takes components "xy" for a vec4. it's certainly wasteful to generate 4

Greetings, For the following quarterly data I did a classical decomposition by hand in a spreadsheet and got reasonably similar results using Minitab 15. x 1 36 2 44 3 45 4 106 5 38 6 46 7 47 8 112 9 42 10 49 11 48 12 118 13 42 14 50 15

I just got this error: > library(igraph) > comp <- decompose.graph(gr) Error: protect(): protection stack overflow Error: protect(): protection stack overflow > what can I do? the digraph is, indeed, large (300,000 vertexes), but there are very many very small components (which I would rather not discard). PS. the doc for decompose.graph does not say which mode is the default. --

Hi, Richard, Your decompose vector patch works perfect on my site. Unfortunately, I still get stupid code because llvm '-dse' fails followed by 'decompose-vector' . I read the DSE code and it is definitely capable of eliminating unused memory stores if its AA works. I don't think basic AA works for me. I found my program have complex memory accesses, such as bi-dimentional

Hi all, I'm new on the list, so I want to say hello for everybody! I'm from Hungary and writing a LLVM backend for Tile64 processor as my master's thesis. It's a big time pressure on me, so the thesis will probably describe a backend only providing an assembly printer, but the development is likely to be continued beyond the thesis. For now, I've run into a very annoying