similar to: Query strings and stop words

Suppose you have a vector of data in x and response values in y. How do you plot together both the points (x,y) and the curve that results from the fitted model, if the model is not y ~ x, but a higher order polynomial, e.g. y~poly(x,2)? (In other words, abline doesn't work for this case.) Thanks, --Paul -- Paul Lynch Aquilent, Inc. National Library of Medicine (Contractor)

Is there a download page for mongrel_cluster? I see that "gem install mongrel_cluster" works, but I can''t see where it''s coming from. Usually gems have some sort of project page somewhere. -- Paul Lynch Aquilent, Inc. National Library of Medicine (Contractor)

Hi, I'm trying to do a linear regression style one-way ANOVA using some data in a data frame, and (perhaps because I am still relatively unfamiliar with both R and statistics) what I thought I should do was to make the data frame into a factor. By that I mean that I have a data frame whose column labels are the levels of the factor, and the values in the frame are numeric values for the

This morning I tried to see if I could find the r-help mailing list on Google Groups, which has an interface that I like. I found three Google Groups ("The R Project for Statistical Computing", "rproject", and "rhelp") but none of them are connected to the r-help list. Is there perhaps some reason why it wouldn't be a good thing for there to be a connected

I've made some normal plots of my data using qqplot, and now I would like to fit a line to the points on the plot and check the correlation coefficient to have a more objective measure of how straight the line is. Is there a simple way of doing that? (I'm still pretty new to R.) Thanks, --Paul -- Paul Lynch Aquilent, Inc. National Library of Medicine (Contractor)

Suppose you have 4 related vectors: a.id<-c(1:25, 1:25, 1:25) a.vals <- c(101:175) # same length as a.id (the values for those IDs) a.id.levels <- c(1:25) a.id.ratings <- rep(letters[1:5], times=5) # same length as a.id.levels What I would like to do is specify a rating from a.ratings (e.g. "e"), get the vector of corresponding IDs from a.id.levels (via

Hello! I am trying to read Ferret index files from Windows machine on my Mac G5 Leopard machine, but the following returns nil: Ferret::Index::IndexReader.new( index_paths ) Should this work? Are index files guaranteed to be platform independent or not? Is there any problem if files (top direectory) are renamed? izidor P.S. I can create the index myself and then everything works.

Hi, I've downloaded R-2.6.2-win32.exe (base) from two CRAN sites (http://mirrors.ibiblio.org/pub/mirrors/CRAN/ and http://lib.stat.cmu.edu/R/CRAN/) and for both of those sites the expected MD5 hash is reported to be: ed512872818707f27ca05f08be7363c2 *R-2.6.2-win32.exe (See, for example, http://lib.stat.cmu.edu/R/CRAN/bin/windows/base/md5sum.txt). However, when I compute the MD5

I've been searching around for a function for computing the Brown-Forsythe F* statistic which is a substitute for the normal ANOVA F statistic for when there are unequal variances, and when there is evidence of non-normality. A couple of other people have asked this question, the responses I found have been: ?oneway.test However, that function appears to use the Welch W statistic which,

Hello all, Quick question, I''m using AAF and the following custom analyzer: class StemmedAnalyzer < Ferret::Analysis::Analyzer include Ferret::Analysis def initialize(stop_words = ENGLISH_STOP_WORDS) @stop_words = stop_words end def token_stream(field, str) StemFilter.new(StopFilter.new(LowerCaseFilter.new(StandardTokenizer.new(str)), @stop_words)) end However when

I''ve been trying to implement acts_as_ferret in my latest project and ran into a snag. If I do a search for ''auditor state'' then the search works perfectly. If I include a stop word, as in ''auditor of state'', then I get no results. I''d prefer not to set stop words to nil and index everything. The solution, that I have yet to attempt, is to use

Hi new version of ferret and acts as ferret have sorted out the scary glibc *** linked list pointer errors, thank god! New version are good but some searches are still not working. It is mostly the stop words ones. For example the "For Sale/Free/Swap" fails but works when "for" is stripped out. I have read all the recent posts regarding this issue and failed to get it to

I am seeing trouble with searches for ''you'' not returning anything. It appears that ''you'' is a stop word to the standard analyzer: require ''rubygems'' require ''ferret'' index = Ferret::I.new(:or_default => false) index << ''you'' puts index.search(''you'') returns

I''d like to get the following behavior: 1. Stemming. The search is on a database of summaries of California legal cases. Things like a search for "thermal image" needs to hit "thermal imaging." 2. Stop words. Searches for "failing to instruct the jury" should come up with hits on a search for "fail to instruct." 3. Case-insensitive. What I

Hi .. I tried to build some query objects to get some documents from my index.. without success.. Is something wrong here? q = Ferret::Search::BooleanQuery.new q1 = Ferret::Search::TermQuery.new(:type, "movie") q2 = Ferret::Search::TermQuery.new(:name, "Indiana") q.add_query(q1, :should) q.add_query(q2, :should) Indexer.index.search_each(q) do |doc, score| puts doc end 0

I have a problem, and I think it''s because stop word analysis isn''t happenning in the queries. I think it''s the way ferret is doing things that''s causing this bug. Let''s say I''m searching across documents with a title. And I have a document with a title of "Bash Guide for Beginners". If a user types in the query: Bash Guide

Hello, I''m using: Ruby 1.8.6, Rails 1.2.3, ferret 0.11.4, acts_as_ferret from svn stable. I''ve had quite a day wrestling with trying to remove the use of stopwords. The problem was that when searching for words like "no" or "the", no results were found. I found a confusing thing behavior that has taken me some time to figure out, and I hope sharing it

I''ve run in to an issue that I''m not sure how to address. Basically, I''m building queries with occur_default Search::BooleanClause::Occur::MUST, and using the StandardAnalyzer which does stop filtering. The stop filtering is working beautifully on the indexing side. The problem is that when the query parser parses through a query with a stop word in it, say

Hi, everybody, 3 questions about R-square: ---------(1)----------- Does R2 always increase as variables are added? ---------(2)----------- Does R2 always greater than 1? ---------(3)----------- How is R2 in summary(lm(y~x-1))$r.squared calculated? It is different from (r.square=sum((y.hat-mean (y))^2)/sum((y-mean(y))^2)) I will illustrate these problems by the following codes:

I have a search in perl that looks a bit like: my $qp = new Search::Xapian::QueryParser(); $qp->set_stemmer(new Search::Xapian::Stem("english")); $qp->set_stemming_strategy(STEM_SOME); $qp->set_default_op($defaultop); ... my $par = $qp->parse_query($query); my $enq = $xDatabase->enquire( $par ); and in the db create script: my $stopper =