similar to: highfrequency package-jump test

Dear R-Devels, I am designing right now a package intended to simplify the handling of market microstructure data (tick data, order data, etc). As these data is most times pretty huge and needs to be reordered quite often (e.g. if several security data is batched together or if only a certain time range should be considered) - the package needs to handle this. Before I start, I would like to

Hi Chris, Glad to hear from you. I hope everything goes well. This is also very exciting for us. As mentioned in the previous email of Zeson, C-SKY is a RISC architecture for high-performance and energy-efficient processors. Many Processors based on this architecture have been mass produced in different fields. At present, more than 1 billon have been shipped. The community for C-SKY

Is there a text mining/ NLP package in R that could do text summarization? For example, take a huge text as input and provide a summary of the text. In package tm, summarization is defined more as high frequency terms which is not what I want. I actually want a summary of what is present in the huge volume of text. Any help on a R package would be helpful. Thank you. Ravi -- View this message

Le 25/04/2023 ? 10:24, Viechtbauer, Wolfgang (NP) a ?crit?: > Hi all, > > Posted this many years ago (https://stat.ethz.ch/pipermail/r-devel/2017-December/075224.html), but either this slipped under the radar or my feeble mind is unable to understand what xyTable() is doing here and nobody bothered to correct me. I now stumbled again across this issue. > > x <- c(1, 1, 2, 2, 2,

I correct myself. Obviously, the line first[is.na(first) | isFALSE(first)] <- FALSE should read first[is.na(first)] <- FALSE Serguei. Le 25/04/2023 ? 11:30, Serguei Sokol a ?crit?: > Le 25/04/2023 ? 10:24, Viechtbauer, Wolfgang (NP) a ?crit?: >> Hi all, >> >> Posted this many years ago >> (https://stat.ethz.ch/pipermail/r-devel/2017-December/075224.html),

This is intended to be a bug report with proposed patch. I am posting to this mailing list as described in NOTE in "Bug Reporting in R". Function `stats:::regularize.values()` is meant to preprocess `x` and `y` arguments to have "proper" values for later use during interpolation. If input is already "proper", I would expect it to reuse the same objects without

This is intended to be a bug report with proposed patch. I am posting to this mailing list as described in NOTE in "Bug Reporting in R". Function `stats:::regularize.values()` is meant to preprocess `x` and `y` arguments to have "proper" values for later use during interpolation. If input is already "proper", I would expect it to reuse the same objects without

Hi all, Posted this many years ago (https://stat.ethz.ch/pipermail/r-devel/2017-December/075224.html), but either this slipped under the radar or my feeble mind is unable to understand what xyTable() is doing here and nobody bothered to correct me. I now stumbled again across this issue. x <- c(1, 1, 2, 2, 2, 3) y <- c(1, 2, 1, 3, NA, 3) table(x, y, useNA="always") xyTable(x, y)

I am working on FC5 [root@blrkec38274d ~]# xm list Error: Error connecting to xend: No such file or directory. Is xend running? THE LOG FILE xend.log is below.... [2006-06-28 18:22:59 xend] INFO (SrvDaemon:285) Xend Daemon started [2006-06-28 18:22:59 xend] INFO (SrvDaemon:289) Xend changeset: unavailable . [2006-06-28 18:23:00 xend.XendDomainInfo] DEBUG (XendDomainInfo:201)