similar to: 'ordered' destroyed to 'factor'

Displaying 20 results from an estimated 20000 matches similar to: "'ordered' destroyed to 'factor'"

2017 Jun 16
2
'ordered' destroyed to 'factor'
> On 16 Jun 2017, at 15:59 , Robert McGehee <rmcgehee at walleyetrading.net> wrote: > > For instance, what would you expect to get from unlist() if each element of the list had different levels, or were both ordered, but in a different way, or if some elements of the list were factors and others were ordered factors? >> unlist(list(ordered(c("a","b")),
2017 Jun 16
0
'ordered' destroyed to 'factor'
Hi, It's been my experience that when you combine or aggregate vectors of factors using a function, you should be prepared for surprises, as it's not obvious what the "right" way to combine factors is (ordered or not), especially if two vectors of factors have different levels or (if ordered) are ordered in a different way. For instance, what would you expect to get from
2014 Mar 02
1
internal copying in R (soon to be released R-3.1.0
Dear core group, Which operation in R guarantees to get a true copy of an atomic vector, not just a second symbol pointing to the same shared memory? y <- x[] #? y <- x y[1] <- y[1] #? Is there any function that returns its argument as a non-shared atomic but only copies if the argument was shared? Given an atomic vector x, what is the best official way to find out whether other
2016 Sep 27
2
problem in levels<- and other inconsistencies
# A couple of years ago # I helped making R's character NA handling more consistent # Today I report an issue with R's factor NA handling # The core problem is that # levels(g) <- levels(g) # can change the levels of g # more details below # Kind regards # Jens Oehlschl?gel # Say I have an NA element in a vector or list x <- c("a","b",NA) # then using split()
2017 Jun 18
0
'ordered' destroyed to 'factor'
Defending the status quo misses the point that R *could* handle ordinal data with a fixed set of levels but actually *does not*. Although it would be useful. Even if this does not imply to handle any possible straw-man situations. Having data-types for nominal, ordinal, and interval-scale data is - in theory - one of the major advantages of S over SAS. But *having* without *handling* means: only
2000 Jul 27
3
R under Win2000?
Dear all, Will R run under Win2000 or is it safer to stay with NT4.0 for a while? Regards -- Dr. Jens Oehlschl?gel Analyse BBDO InterOne Gr?nstr. 15 40212 D?sseldorf Tel.: +49 (0)211 1379-187 Fax.: +49 (0)211 1379-461 http://www.bbdo-interone.de -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read
2007 Jul 13
2
nearest correlation to polychoric
Dear all, Has someone implemented in R (or any other language) Knol DL, ten Berge JMF. Least-squares approximation of an improper correlation matrix by a proper one. Psychometrika, 1989, 54, 53-61. or any other similar algorithm? Best regards Jens Oehlschl?gel Background: I want to factanal() matrices of polychoric correlations which have negative eigenvalue. I coded Highham 2002
2020 Jun 26
2
Error in substring: invalid multibyte string
Hi all, I'm getting the following error from substring: > substr("<I>Jens Oehlschl\xe4gel-Akiyoshi", 1, 100) Error in substr("<I>Jens Oehlschl\xe4gel-Akiyoshi", 1, 100) : invalid multibyte string at '<e4>gel-A<6b>iyoshi' Is that normal / intended? I've tried setting the Encoding/locale to Latin-1/UTF-8 but that does not help. nchar
2007 Nov 13
5
How to overload the assignment operator?
Dear all, what is the proper way to make the assignment operator generic and define methods depending on the class of the assigned value? Best regards Jens Oehlschl?gel P.S. I vaguely remember that this was possible in S+. In R I tried to no avail: # using this like h<-1:3 gives Error: in `<-.default`(h, 1:3) : invalid (do_set) left-hand side to assignment
2020 Jun 27
1
Error in substring: invalid multibyte string
Thanks for the quick response Ivan. readLines with encoding='latin1' works for me (on Ubuntu). However I was more concerned with the inconsistency in results between substr and regexpr. I was expecting that if one of them errors because of an unknown encoding then the other should as well. Even better, if regexpr works, why shouldn't substr work as well? Incidentally the analogous
2009 Sep 18
4
basename returns "." not in filename (PR#13958)
Full_Name: Jens Oehlschl?gel Version: 2.9.2 OS: Win32 Submission from: (NULL) (85.181.152.156) # Obviously an empty basename is allowed (if the filepath is a pure path) > basename("/") [1] "" # but here we get the dot from the path > basename("./") [1] "." > version _ platform i386-pc-mingw32
2000 Feb 28
1
mapping of colornames into hsv?
I couldn't find this in online help or the archives: Is there any R function or object giving the mapping of the colornames as given by colors() into the hsv() model? Regards -- Dr. Jens Oehlschl?gel-Akiyoshi MD FACTORY GmbH Bayerstrasse 21 80335 M?nchen Tel.: 089 545 28-27 Fax.: 089 545 28-10 http://www.mdfactory.de
2000 Feb 28
1
mapping of colornames into hsv?
I couldn't find this in online help or the archives: Is there any R function or object giving the mapping of the colornames as given by colors() into the hsv() model? Regards -- Dr. Jens Oehlschl?gel-Akiyoshi MD FACTORY GmbH Bayerstrasse 21 80335 M?nchen Tel.: 089 545 28-27 Fax.: 089 545 28-10 http://www.mdfactory.de
2003 Nov 05
3
How to represent pure linefeeds chr(10) under R for Windows
I need to write out with write.table() a csv file allowing for line feeds (pure chr(10)) as part of character field (not as a line seperator). How can I do that? Best regards Jens Oehlschl?gel --
2004 May 13
2
please help with estimation of true correlations and reliabilities
Can someone point me to literature and/or R software to solve the following problem: Assume n true scores t measured as x with uncorrelated errors e , i.e. x = t + e and assume each true score to a have a certain amount of correlation with some of the other true scores. The correlation matrix cx of x will have its off-diagonal entries reduced by measurement error compared to the true
2003 Oct 23
2
GIS re-mapping / polygon overlap
In Germany the Unemployment Agency uses a sectioning of the german map that is different from the usual Administrative Boundaries. Some demographic data are available in Administrative Boundaries only, some in Unemployment Boundaries only. I would like to generate estimates in one boundary system of data availabe in the other boundary system, and would appreciate advice concerning the following
2004 Feb 27
2
Is there a way to deactivate partial matching in R?
Dear R-experts, I just tracked down a nasty bug in a dynamically parametrized function to wrong argument matching. As we get more and more complex applications build on top of R (like bioconductor) partial matching gets more and more dangerous. I would like to deactivate partial matching in R (partial argument matching as well as partial matching of list elements), e.g. using an environment
2004 Feb 27
2
Is there a way to deactivate partial matching in R?
Dear R-experts, I just tracked down a nasty bug in a dynamically parametrized function to wrong argument matching. As we get more and more complex applications build on top of R (like bioconductor) partial matching gets more and more dangerous. I would like to deactivate partial matching in R (partial argument matching as well as partial matching of list elements), e.g. using an environment
2009 Dec 28
2
Ops method does not dispatch on either of two classes
I have defined boolean methods for bit and bitwhich objects, for example |.bit <- function(e1,e2) and |.bitwhich <- function(e1,e2) Both methods coerce their arguments to the respective class, however if I do something like bit_obj | bitwhich_obj then I get a warning Warning message: Incompatible methods ("|.bit", "|.bitwhich") for "|" and none of the
2009 Sep 26
1
questions on csv reading
Hi, Is there any official way to determine the colClasses of a data.frame? Why has POSIXct such a strange class structure? Why is colClasses "ordered" not allowed (and doesn't work)? Background ========== I am writing a chunked csv reader that provides the functionality of read.table for large files (in the next version of package ff). In chunked reading, one wants to learn the