search for: equall

Hi, I installed R 3.0.0 on a Windows 2008 Server. When I submitted the following code in R64, library(tools) testInstalledBasic(scope="devel") I get the following message in the R Console: > library(tools) > testInstalledBasic(scope="devel") running tests of consistency of as/is.* creating ?isas-tests.R? running code in ?isas-tests.R? comparing ?isas-tests.Rout? to

Hi R-devel, The following code: all.equal(baseenv(), baseenv()) gives the error when run in a clean R session with latest R-devel (r66650): kevin:~$ R --vanilla --slave -e "all.equal(baseenv(), baseenv())" Error in all.equal.envRefClass(target[[i]], current[[i]], check.attributes = check.attributes, : attempt to apply non-function Calls: all.equal ...

I must be missing something obvious here but I cannot seem to see it. I have this step definition: When /entity named "(.*)" has a legal name "(.*)"/ do |name, legal| myentity = Entity.find_by_entity_common_name!(name.hll_keycase) myentity.entity_legal_name.should equal legal.hll_keycase end Which fails with this: And the entity named "Myuser" has a legal

Hi, The description of all.equal states "is.all.equal should be used for programming, typically in if expressions. It is a simple wrapper using identical as shown in the documentation there.", but is.all.equal is not explicitly defined there (although there is a hint in the comments that is.all.equal <- function(x,y) isTRUE(all.equal(x,y))). Could the documentation be corrected? (or

Below is a second cut at all.equal and also a generic function test.equal which is intended to return a T/F value. The default method uses all.equal, which is the reason I was looking for all.equal in the first place. Prompted by Thomas Lumley's observation that a T/F result makes more sense I thought it would be worthwhile to indicate what I'm really doing. I have been using test.equal

Dear All! If I try to compare the attributes of two objects, I find a surprising behaviour of attr.all.equal(). With identical attributes I receive the answert NULL. If the attributes differ, the answer is as expecxted and differences are shown. all.equal(attributes(), attributes()) instead returns TRUE, if attributes are equal. See example: v <- 1:5 attr(v, 'testattribute')

This arose in testing [.terms and has me confused. data(esoph)?? # use a standard data set t0x <- terms(model.frame( ~ tobgp, data=esoph)) t1 <-? terms(model.frame(ncases ~ agegp + tobgp, data=esoph)) t1x <- (delete.response(t1))[-1] > all.equal(t0x, t1x) [1] TRUE # the above is wrong, because they actually are not the same > all.equal(attr(t0x, 'dataClasses'),

I'm trying to set up my LDAP in preparation to configure my Samba PDC. In the Official Samba-3 HOWTO and Reference Guide it give instructions on howto setup slapd.conf (section 10.4.4.3) After modifying the file it instructs to run /sbin/splapindex -f /splapd.conf When I run this I get the following error: /etc/openldap/schema/samba.schema: line 423: AttributeType not found:

>>>>> Duncan Murdoch >>>>> on Fri, 5 Apr 2019 11:12:48 -0400 writes: > On 05/04/2019 10:46 a.m., Therneau, Terry M., Ph.D. wrote: >> >> >> On 4/5/19 9:39 AM, Duncan Murdoch wrote: >>> On 05/04/2019 10:19 a.m., Therneau, Terry M., Ph.D. wrote: >>>> Duncan, >>>> ?? I should have

Greetings All. Once again, I am probably missing something fairly accessible, but since I can't find it I'd welcome advice! I have a dataframe derived from a text file of data in tabular format. For one of the variables, say X, I want to select the subsets which in which X equals a particular value. Such values are given in the text file like: 2.3978953, and each such value will occurr

--k1lZvvs/B4yU6o8G Content-Type: text/plain; charset=us-ascii Content-Disposition: inline The attached patch against R 2.2.0 makes the following improvements to the all.equal() function: 1. Check names! Stock R all.equal() (unlike S-Plus) ignores names completely on some objects. I consider this wrong - if the names are different, the object is NOT "the same". 2. When a

Dear all How should one parse all.equal() output? I'm specifically referring to the 'mean relative difference' messages. For example, > all.equal(pi, 355/113) [1] "Mean relative difference: 8.491368e-08" But I'm not sure how to understand these messages. When they're close to 0 (or 1xe-16), then it's intuitive. But when they're big, > all.equal(1, 4)

Try the following function (the name is supposed to be a joke, by the way), which will also do the right thing with NAs and characters. Use it as if(equal.enough(x,y)) rather than if(x==y), e.g. > equal.enough(0.1+0.2, 0.3) [1] TRUE My default of 15 significant figures may be overkill in many applications; be prepared to reduce this. Simon Fear "equal.enough" <- function(x, y,

Hi I have a little problem with my ldap authorization of samba against Novel LDAP server. This is the log output from the Novel Ldap server: ---------------------------------------------------------------------------------------------------- New TCP connection 0xcb1e3980, monitor = 0x1bf, index = 2 (0xcb1e3980:0x0001:0x60) DoBind on connection 0xcb1e3980 (0xcb1e3980:0x0001:0x60) DoBind: name =

Hi! In a function, I may have an instance in which all elements are equal. > x <- rep(1,5) > > x [1] 1 1 1 1 1 > identical(x) Error in .Internal(identical(x, y, num.eq, single.NA, attrib.as.set)) : 'y' is missing > all.equal(x) Error in is.expression(x) : 'x' is missing > I don't care what particular value it is, I just want to know if they are all

"Is it true that all.equal just compares y values?" The following may be a bit more than you may have wanted, but I hope it is nevertheless useful. The first place you should go to for questions like this is the Help system, not here, i.e. ?all.equal When you do this, you will find that all.equal() is a so-called S3 generic function, which, among other things, means that it works

Could some kindly tell me if I am supposed to be getting the same test statistic value with var.equal=TRUE and var.equal=FALSE in t.test ? set.seed(1066) x1 <- rnorm(50) x2 <- rnorm(50) t.test(x1, x2, var.equal=FALSE)$statistic # 0.5989774 t.test(x1, x2, var.equal=TRUE)$statistic # 0.5989774 ??? Here are my own calculations that shows that perhaps the result when var.equal=TRUE is

?? The OP's original problem is that the all.equal method for raster objects (raster:::all.equal.raster), which is a wrapper around the compareRaster() function, compares a bunch of different properties of rasters (extent, resolution, values, etc.) and only returns a single overall logical (TRUE/FALSE) value. OP wanted to see the magnitude of the difference (as you could get for more

Some doxygen annotations are attached to the wrong entry, which can be misleading. This patch fixes the mistake everywhere I could find it. --- include/llvm/InstrTypes.h | 54 ++++++++++++++++++++-------------------- include/llvm/MC/MCDirectives.h | 42 +++++++++++++++--------------- include/llvm/Pass.h | 10 +++--- 3 files changed, 53 insertions(+), 53 deletions(-) diff

Below is a third cut at all.equal and the generic function test.equal which is intended to return a T/F value. There was a suggestion that "is.equal" rather than "test.equal" might be considered as a name. I have mixed feelings about this. I associate the "is" functions with inheritance rather than comparisons, but the "equal" part of the name makes it