Jeff, many thanks for your answer. On Sun, Nov 22, 2015 at 8:40 PM, Jeff Newmiller <jdnew...@dcn.davis.ca.us> wrote:
> Since you seem to have trouble reading (the Posting Guide warns you to post > here using plain text format emails.. doing so will be to your benefit when > we can see what you posted clearly), the body of the email sent by me has had both plain-text and html representations. I found no clear confrontation with the Posting Guide for this case. > perhaps it is not clear to you that the Task View is referring to contributed > packages that have their own documentation. that's clear. To my understanding primary purpose of a Task View is giving a (over)view about the R-packages that one could use while addressing the respective task. The Task View this time was not enough to locate the needed package, so I had to admit I need a help. If the r-help mail-list isn't the right place to ask for a help to locate a relevant R-package then I'm a bit confused, but would kindly ask for redirecting me to a mail-list that is more relevant for my question. > Also, please be aware that a significant hurdle to applying spectral analysis > in any calculation tool is familiarity with the underlying theory. Doing so > with irregular samples is going to be even more challenging, and this is not > an appropriate forum for learning such topics. I do confirm, that my focus was and is to locate an R-package that provides at least one function in its API to estimate power spectrum for the irregular time series. kind regards and thanks in advance for any help, Valery. > On November 22, 2015 10:23:34 AM PST, Valery Khamenya <khame...@gmail.com> > wrote: >> >> Hi, >> >> I fail to find libraries to estimate the spectral density for irregular >> time-series. >> >> This entry from "CRAN Task View: Time Series Analysis": >> >> [...]Various packages implement irregular time series based on "POSIXct" >> time stamps, intended especially for financial applications. These include >> "its" from its, "irts" from tseries, and "fts" from fts. [...] >> >> is rather not that much helping. >> >> best regards >> -- >> Valery >> >> [[alternative HTML version deleted]] >> >> ________________________________ >> >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> 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. > > > -- > Sent from my Android device with K-9 Mail. Please excuse my brevity. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
