search for: novelties

Well pointed out, Jim! It is infortunate that the documentation for options(digits=...) does not mention that these are *significant digits* and not *decimal places* (which is what Joshua seems to want): "?digits?: controls the number of digits to print when printing numeric values." On the face of it, printing the value "0,517" of 'ccc' looks like printing 4

R version 3.5.0 (2018-04-23) -- "Joy in Playing" Platform: x86_64-pc-linux-gnu (64-bit) options(digits=3) itemInfo <- structure(list("aaa" = c(1.39633732316667, 1.32598263816667, 1.11658324066667, 1.23651072616667, 1.05368679983333, 1.03100737383333, 0.9630728395, 0.7483865045, 0.620086646166667, 0.5411017985, 0.496397607833333, 0.459528044666667, 0.427877047833333,

Hi Joshua, Because there are no values in column ddd less than 1. itemInfo[3,"ddd"]<-0.3645372 itemInfo aaa bbb ccc ddd eee skill 1.396 6.225 0.517 5.775 2.497 predict 1.326 5.230 0.462 5.116 -2.673 waiting 1.117 4.948 NA 0.365 NA complex 1.237 4.170 0.220 4.713 5.642 novelty 1.054 4.005 0.442 4.260 2.076 creative 1.031 3.561 0.362 3.689

>>>>> Ted Harding >>>>> on Thu, 31 May 2018 07:10:32 +0100 writes: > Well pointed out, Jim! > It is infortunate that the documentation for options(digits=...) > does not mention that these are *significant digits* > and not *decimal places* (which is what Joshua seems to want): Since R 3.4.0 the help on ?options *does* say

######################################################### PACT-2016: Call for Abstracts in ACM Student Research Competition (SRC) http://pact2016.eew.technion.ac.il/acm-src ######################################################### IMPORTANT DATES Abstract submission: 11:59pm US EDT Friday, June 17, 2016 Acceptance notification: 11:59pm US EDT Friday, July 15, 2016 Poster

A new version of kernlab has just been released. kernlab is a kernel-based Machine Learning package for R. kernlab includes the following functions: o ksvm() : Support Vector Machines for classification, regression, novelty detection, native multi-class classification, support for class-probability output and confidence intervals in regression. o gausspr()

A new version of kernlab has just been released. kernlab is a kernel-based Machine Learning package for R. kernlab includes the following functions: o ksvm() : Support Vector Machines for classification, regression, novelty detection, native multi-class classification, support for class-probability output and confidence intervals in regression. o gausspr()

...by Development Facade: The Journal of Front-end Development Tabula: The Journal of Open Source Database Development The three publications obviously have a great number of topics in common between then, and much that is unique. Where ever possible, readers will benefit from the synergies and the novelties. These journals are to be published differently than other periodicals: 1. Each journal is published as frequently as possible so material is timely and accessible. 2. The price for each journal can therefore vary, depending on the scope and size of an issue. 3. You will be able to purchase in...

Dear R-helpers, I have been inquired about the possibility of developing a web distributed scoring system: a model is created in a central location, users fill a form in their browsers, and the central server calls this model and returns a YES/NO answer to them. I am tempted into using R for this assignment. I have used Rapache for similar tasks, but I am afraid that it is too of a novelty for

The countdown to R version 1.8.0 has begun. As a novelty, we now make preliminary source tarballs available somewhat earlier in the process. They will be found in http://cran.us.r-project.org/src/base with names of the form R-1.8.0alpha_2003-09-10.tar.gz The first one was created a moment ago; subsequent ones will be created by a cron job that runs at 05:00 local (Wisconsin) time. There are

The countdown to R version 1.8.0 has begun. As a novelty, we now make preliminary source tarballs available somewhat earlier in the process. They will be found in http://cran.us.r-project.org/src/base with names of the form R-1.8.0alpha_2003-09-10.tar.gz The first one was created a moment ago; subsequent ones will be created by a cron job that runs at 05:00 local (Wisconsin) time. There are

Me again... :) Despite all of the comments made in favor of the .OGG extension, I'm still going to have to side with the "different extension" camp. There are a number of reasons for this... First off... from where I'm sitting, it doesn't matter how much of a grey-area you get into, I can't think of a single scenario where you wouldn't be able to say that it was

I apologise for starting a new thread, but we had a mail problem and I don't have the original message to refer to. Someone mentioned the new "Diamond Graphs" invented at Johns Hopkins. I haven't see the August 2003 issue of The American Statistician yet, but I _have_ read the press release. The press release is a bit of a stunner. I quote: "Who would have thought we

I've got a dumb Western Electric payphone and some homebuilt hardware to control the coin relay which is accessible to Asterisk through the AGI interface. I'd like to be able to set the state of the coin relay to collect at the end of a call if a called party answers. [Hey, I admit this project is being persued just for the fun of it ] Looking through the documentation, there is a way to

On Mon, Jun 15, 2015 at 4:54 PM, Daniel Berlin <dberlin at dberlin.org> wrote: > > I'm mostly going from Robert Wilson's 1997 phd thesis, although I'm > pretty > > sure I've seen a lot of the same ideas elsewhere as well. > > Yes, using summary/transfer functions has been tried a lot. > Note: the numbers in most of these phd thesis do *not* get born

Hello, I am Uppinder Chugh (irc nick: icebyte), a senior year undergraduate student majoring in Computer Science and Engineering at Indian Institute of Technology, Guwahati. I'm interested to work on the idea of adding the functionality of search result diversification to Xapian. After having brief conversations with mentors on IRC, I would like to compile the discussions and further discuss

Call for Papers --------------------------------------------------------------------------------------- The 8th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS) 2015 http://datasys.cs.iit.edu/events/MTAGS15/ --------------------------------------------------------------------------------------- November 15th, 2015 Austin, Texas, USA Co-located with with IEEE/ACM

Call for Papers --------------------------------------------------------------------------------------- The 8th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS) 2015 http://datasys.cs.iit.edu/events/MTAGS15/ --------------------------------------------------------------------------------------- November 15th, 2015 Austin, Texas, USA Co-located with with IEEE/ACM

Dear useRs, A new package 'drm', version 0.5-4, is available on CRAN. The drm package provides functions for marginal regression analysis of repeated (or otherwise clustered) binary, ordinal and nominal responses. This package can be considered as a likelihood-based alternative to GEE approach for marginal regression. In addition to regression modelling, several temporal and latent