Displaying 20 results from an estimated 113 matches for "abbie".
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abbe
2007 Jan 20
2
Conditional pluralize without the number
Hi.
Assume you have an array of person names. I want to generate results in
my view that look like this:
Abby is your friend
or
Abby, Bob, and Carol are your friends.
So I''d like to say:
<%= friends.to_sentence %>
<%= pluralize(friends.count, "is") %>
your <%= pluralize(friends.count, "friend") %>
But because pluralize puts in the
2002 Aug 13
4
Can't Connect to Swat
I'm trying to connect to swat but can't. Just installed Samba 2.2.2-5
and edited /etc/services, even though I'm running Redhat 7.3 and use
xinetd. /etc/xinetd/swat exists.... but I still cannot connect to
http://localhost:901. Why???
Thanks for assist.
2020 Oct 09
3
2 D density plot interpretation and manipulating the data
You could assign a density value to each point.
Maybe you've done that already...?
Then trim the lowest n (number of) data points
Or trim the lowest p (proportion of) data points.
e.g.
Remove the data points with the 20 lowest density values.
Or remove the data points with the lowest 5% of density values.
I'll let you decide whether that is a good idea or a bad idea.
And if it's a
2020 Oct 09
0
2 D density plot interpretation and manipulating the data
Hi Abby,
Thanks for getting back to me, yes I believe I did that by doing this:
SNP$density <- get_density(SNP$mean, SNP$var)
> summary(SNP$density)
Min. 1st Qu. Median Mean 3rd Qu. Max.
0 383 696 738 1170 1789
where get_density() is function from here:
https://slowkow.com/notes/ggplot2-color-by-density/
and keep only entries with density > 400
2019 Jun 14
2
Halfway through writing an "IDE" with support for R; Proof of concept, and request for suggestions.
On Sat, 15 Jun 2019 at 01:24, Abby Spurdle <spurdle.a at gmail.com> wrote:
>
> None of the tools that I've looked at satisfy these constraints.
> But if you know of some, I'd like to know... And I would consider contributing...
What about Atom, VS Code and the like? Or what about taking a project
that meets most of the constraints and pushing to cover all of them,
or even
2020 Jan 14
4
as-cran issue ==> set _R_CHECK_LENGTH_1_* settings!
> On Jan 14, 2020, at 3:29 PM, Abby Spurdle <spurdle.a at gmail.com> wrote:
>
>> I do want to entice people to have a long look beyond closed
>> source OS into the world of Free Software where not only R is
>> FOSS (Free and Open Source Software) but (all / almost) all the
>> tools you use are of that same spirit.
>
> And while everyone is talking about
2019 Jul 08
5
Format printing inside a matrix
Hi Abby,
Thanks a lot for your paraphrasing and your suggestion!
The problem of wrapping the list into a S3/S4 object, i.e. subclassing array
or matrix, is that one also has to define a bunch of methods for subsetting,
joining, etc, in order to make it behave like a list array. The reason is that
most R functions for subsetting, joining, etc. do not preserve class
attributes of the input, which
2019 Jun 30
5
Making R CMD nicer
For the record, this is Linux R-devel:
root at 4bef68c16864:~# R CMD
/opt/R-devel/lib/R/bin/Rcmd: 60: shift: can't shift that many
root at 4bef68c16864:~# R CMD -h
/opt/R-devel/lib/R/bin/Rcmd: 62: exec: -h: not found
root at 4bef68c16864:~# R CMD --help
/opt/R-devel/lib/R/bin/Rcmd: 62: exec: --help: not found
This is R-release on macOS:
? R CMD
2020 Oct 09
2
2 D density plot interpretation and manipulating the data
I recommend that you consult with a local statistical expert. Much of what
you say (outliers?!?) seems to make little sense, and your statistical
knowledge seems minimal. Perhaps more to the point, none of your questions
can be properly answered without subject matter context, which this list is
not designed to provide. That's why I believe you need local expertise.
Bert Gunter
"The
2020 Oct 09
0
2 D density plot interpretation and manipulating the data
Hi Abby,
thank you for getting back to me and for this useful information.
I'm trying to detect the outliers in my distribution based of mean and
variance. Can I see that from the plot I provided? Would outliers be
outside of ellipses? If so how do I extract those from my data frame,
based on which parameter?
So I am trying to connect outliers based on what the plot is showing:
s <-
2011 Sep 19
6
64.31.19.48 attempt to break into my computer
>From my secure log:
Sep 19 01:16:44 lin12 dovecot-auth: pam_unix(dovecot:auth): check pass; user unknown
Sep 19 01:16:44 lin12 dovecot-auth: pam_unix(dovecot:auth): authentication failure; logname= uid=0 euid=0 tty=dovecot ruser= rhost=::ffff:64.31.19.48
Sep 19 01:16:44 lin12 dovecot-auth: pam_succeed_if(dovecot:auth): error retrieving information about user aaron
Sep 19 01:16:45 lin12
2020 Jun 07
1
[External] Re: use of the tcltk package crashes R 4.0.1 for Windows
sorry, release "versions"
On Mon, Jun 8, 2020 at 11:17 AM Abby Spurdle <spurdle.a at gmail.com> wrote:
>
> On Mon, Jun 8, 2020 at 4:09 AM Fox, John <jfox at mcmaster.ca> wrote:
> > Does it make sense to withdraw the Windows R 4.0.1 binary until the issue is resolved?
>
> Yes, it does.
> All the release reversions should be removed.
2020 Oct 09
2
2 D density plot interpretation and manipulating the data
> My understanding is that this represents bivariate normal
> approximation of the data which uses the kernel density function to
> test for inclusion within a level set. (please correct me)
You can fit a bivariate normal distribution by computing five parameters.
Two means, two standard deviations (or two variances) and one
correlation (or covariance) coefficient.
The bivariate normal
2013 Mar 22
1
Sen's slope - fume package different output than zyp or wq
Hello,
I am trying to decide which package to use to calculate the non-parametric
Sen's Slope for identifying trends in rainfall data (determine the slope
between all pairs of points and take the median of those slopes). I have
found three packages that output Sen's: "zyp", "wq" and "fume". The
outputs of "zyp.sen()" and "mannKen()" from
2020 Oct 09
0
2 D density plot interpretation and manipulating the data
Hi Bert,
Another confrontational response from you...
You might have noticed that I use the word "outlier" carefully in this
post and only in relation to the plotted ellipses. I do not know the
underlying algorithm of geom_density_2d() and therefore I am having an
issue of how to interpret the plot. I was hoping someone here knows
that and can help me.
Ana
On Fri, Oct 9, 2020 at
2020 Jul 20
2
Speed-up/Cache loadNamespace()
Le 20/07/2020 ? 10:15, Abby Spurdle a ?crit?:
> It's possible to run R (or a c parent process) as a background process
> via a named pipe, and then write script files to the named pipe.
> However, the details depend on what shell you use.
>
> The last time I tried (which was a long time ago), I created a small c
> program to run R, read from the named pipe from within c, then
2019 Aug 31
2
inconsistent handling of factor, character, and logical predictors in lm()
Dear Abby,
> On Aug 30, 2019, at 8:20 PM, Abby Spurdle <spurdle.a at gmail.com> wrote:
>
>> I think that it would be better to handle factors, character predictors, and logical predictors consistently.
>
> "logical predictors" can be regarded as categorical or continuous (i.e. 0 or 1).
> And the model matrix should be the same, either way.
I think that
2020 May 18
3
dbinom link
In principle a good idea, but I'm not sure the whereabouts of Catherine Loader are known at this point. Last peeps from her on the net seem to be about a decade old.
.pd
> On 18 May 2020, at 10:31 , Abby Spurdle <spurdle.a at gmail.com> wrote:
>
> This has come up before.
>
> Here's the last time:
> https://stat.ethz.ch/pipermail/r-devel/2019-March/077478.html
2019 Jul 13
2
head.matrix can return 1000s of columns -- limit to n or add new argument?
Hi Michael and Abby,
So one thing that could happen that would be backwards compatible (with the
exception of something that was an error no longer being an error) is head
and tail could take vectors of length (dim(x)) rather than integers of
length for n, with the default being n=6 being equivalent to n = c(6,
dim(x)[2], <...>, dim(x)[k]), at least for the deprecation cycle, if not
2019 Nov 15
2
class(<matrix>) |--> c("matrix", "arrary") [was "head.matrix ..."]
> > And indeed I think you are right on spot and this would mean
> > that indeed the implicit class
> > "matrix" should rather become c("matrix", "array").
>
> I've made up my mind (and not been contradicted by my fellow R
> corers) to try go there for R 4.0.0 next April.
I'm not enthusiastic about matrices extending arrays.
If a