Re: [R] How to join matrices of different row length from a list
Dear Emma, there is a 'cbind.na', 'rbind.na' and 'data.frame.na' function in my qpcR package. library(qpcR) matLis - list(matrix(1:4, 2, 2), matrix(1:6, 3, 2), matrix(2:1, 1, 2)) do.call(cbind.na, matLis) They are essentially the generic functions extended with an internal fill. You might also want to try these examples: ## binding cbind.na(1, 1:7) # the '1' (= shorter vector) is NOT recycled but filled cbind.na(1:8, 1:7, 1:5, 1:10) # same with many vectors rbind.na(1:8, 1:7, 1:5, 1:10) # or in rows a - matrix(rnorm(20), ncol = 4) # unequal size matrices b - matrix(rnorm(20), ncol = 5) cbind.na(a, b) # works, in contrast to original cbind rbind.na(a, b) # works, in contrast to original rbind ## data frame with unequal size vectors data.frame.na(A = 1:7, B = 1:5, C = letters[1:3], D = factor(c(1, 1, 2, 2))) ## convert a list with unequal length list items ## to a data frame z - list(a = 1:5, b = letters[1:3], c = matrix(rnorm(20), ncol = 2)) do.call(data.frame.na, z) -- View this message in context: http://r.789695.n4.nabble.com/How-to-join-matrices-of-different-row-length-from-a-list-tp3177212p3178991.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] predict arfima
I noticed that both in the fArma and fracdiff packages it is not possible to predict an object fitted with an ARFIMA model. Moreover, the ox link is no more available. However, is it possible to find the coefficient d of differentiation of a time series, and then predict the time series by apply an arma model to the filtered time series ?? Are there better or other methods to predict ARFIMA models ? -- View this message in context: http://www.nabble.com/predict-arfima-tp17621431p17621431.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] unable to use functions require DLL from package base
Thanks, I had indeed several versions of R and removed the older ones and it worked. I suspect you have more than one version of R installed and are mixing them up. Those symbols have been in package stats for quite a while. Try starting R with --vanilla, and if that works, clean out your startup files (see ?Startup). If not, remove all your R installations and reinstall R 2.7.0 (or R-patched). -- View this message in context: http://www.nabble.com/unable-to-use-functions-require-DLL-from-package-%22base%22-tp17086783p17101073.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] unable to use functions require DLL from package base
Hi all, I have issues using some basic functions in R such as these ones : pp.test(R) (where is a vector of returns) Error in .C(R_approx, as.double(x), as.double(y), as.integer(nx), xout = as.double(xout), : C symbol name R_approx not in DLL for package base boxcox(reg,plotit=T) (where reg is an lm object) Error in .C(spline_coef, method = as.integer(method), n = as.integer(nx), : C symbol name spline_coef not in DLL for package base as I do miss some symbol names. How can I overcome this serious problem ? -- View this message in context: http://www.nabble.com/unable-to-use-functions-require-DLL-from-package-%22base%22-tp17086783p17086783.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
