Hiya,
I have lost track of half the discussion so forgive me if that suggestion has
been made before, but would it be suitable to wrap your code in a shiny app and
disseminate it this way?
Kind regards,
Katharina.
--
Dr Katharina Fritsch B.Sc. M.Sc. MRSC
Chemical Modeller, Chemical and Process
Hello:
What are the differences between Jupyter notebooks and RMarkdown
vignettes?
I'm trying to do real time monitoring of the broadcast quality of
a radio station, and it seems to me that it may be easier to do that in
Python than in R.[1] This led me to a recent post to
"p
On 10/10/2018 8:08 PM, Olivier GIVAUDAN wrote:
I think Gabor (at least) already suggested this solution. But the
problem is: how do you source this file containing this 'foo' function
without writing its absolute path?
You only need its relative path to source it.
Duncan Murdoch
It's a kind
Hi Spencer,
On Thu, Oct 11, 2018 at 5:08 AM Spencer Graves
wrote:
>
> Hello:
>
>
>What are the differences between Jupyter notebooks and RMarkdown
> vignettes?
Here are some of the main differences I'm aware of:
Rmarkdown files include code and prose. The results produced by the
code do
Thank you all. Bill's original idea worked well. I did not realize
that i had to paste the full dir name to the correctly ordered file.
Once that was done it did work well. I will try REUI's idea and i
think Jeff's idea of rearranging the output after extracting the
tables might work and i will tr
On 11/10/2018 7:18 AM, Ista Zahn wrote:
Hi Spencer,
On Thu, Oct 11, 2018 at 5:08 AM Spencer Graves
wrote:
Hello:
What are the differences between Jupyter notebooks and RMarkdown
vignettes?
Here are some of the main differences I'm aware of:
Rmarkdown files include code and prose.
I'd highly recommend Yihui's extensive write up:
https://yihui.name/en/2018/09/notebook-war/
Hadley
On Thu, Oct 11, 2018 at 4:08 AM Spencer Graves
wrote:
>
> Hello:
>
>
>What are the differences between Jupyter notebooks and RMarkdown
> vignettes?
>
>
>I'm trying to do real time m
On Thu, Oct 11, 2018 at 8:36 AM Duncan Murdoch wrote:
>
> On 11/10/2018 7:18 AM, Ista Zahn wrote:
> > Hi Spencer,
> >
> > On Thu, Oct 11, 2018 at 5:08 AM Spencer Graves
> > wrote:
> >>
> >> Hello:
> >>
> >>
> >> What are the differences between Jupyter notebooks and RMarkdown
> >> vignett
Olivier:
Readers of R-Help generally are patient and try to be helpful. Numerous
solutions to your initial query were proposed, but for some reason you
either reject them or take the discussion down some different rabbit
hole of claims about R vs. other software environments, to which kind
peo
Ista, you do not seem to be aware of the
.nb.html format, which is way easier to share with a non-uswr than an ipynb
file yet allows the same in-progress kinds of results to be shared and the
source can be extracted easily using a web browser (no server needed).
There is some controversy about
On Thu, Oct 11, 2018 at 10:03 AM Jeff Newmiller
wrote:
>
> Ista, you do not seem to be aware of the
> .nb.html format, which is way easier to share with a non-uswr than an ipynb
> file yet allows the same in-progress kinds of results to be shared and the
> source can be extracted easily using a
I just have one comment on the multi-language support in R Markdown
(inline below):
On Thu, Oct 11, 2018 at 6:19 AM Ista Zahn wrote:
>
> Hi Spencer,
>
> On Thu, Oct 11, 2018 at 5:08 AM Spencer Graves
> wrote:
> >
> > Hello:
> >
> >
> >What are the differences between Jupyter notebooks an
On Thu, Oct 11, 2018 at 10:15 AM Yihui Xie wrote:
>
> I just have one comment on the multi-language support in R Markdown
> (inline below):
>
> On Thu, Oct 11, 2018 at 6:19 AM Ista Zahn wrote:
> >
> > Hi Spencer,
> >
> > On Thu, Oct 11, 2018 at 5:08 AM Spencer Graves
> > wrote:
> > >
> > > Hello
In case Jeff's point was not clear enough: the *.nb.html file is very
similar to *.ipynb and it is very different with other output formats
that R Markdown generates. A .nb.html file is generated alongside .Rmd
when you preview an R Markdown notebook, and it contains both the R
Markdown source docu
On Thu, Oct 11, 2018 at 10:23 AM Yihui Xie wrote:
>
> In case Jeff's point was not clear enough: the *.nb.html file is very
> similar to *.ipynb and it is very different with other output formats
> that R Markdown generates. A .nb.html file is generated alongside .Rmd
> when you preview an R Markd
This is a question to better my understanding of the relationship between
core R versions and packages that work with them. It's not a complaint or
criticism.
Installed here is R-3.5.1. There are two packages that allow integration
of R and GRASS that are not yet available for 3.5.1: rpy2 and
> On Oct 11, 2018, at 11:40 AM, Rich Shepard wrote:
>
> This is a question to better my understanding of the relationship between
> core R versions and packages that work with them. It's not a complaint or
> criticism.
>
> Installed here is R-3.5.1. There are two packages that allow integratio
On Thu, 11 Oct 2018, Marc Schwartz wrote:
Your best bet is to directly contact the package maintainers, as they
would be the definitive source for timeline information on package
updates.
Marc,
Thank you, I will contact them. Being unfamiliar with standard practice I
asked first.
Best rega
You can contact them as Marc suggested by opening an account at bit
(bitbucket/Atlassian) or git (github) Most prefer strongly to have a
primary at git before going to Atlassian other code checkers so you can
discover the package team there esp if any future development is in the
pipes.
Don't worr
?maintainer
in R accesses the package description file to provide maintainer info. No
need to fool around with git or other software development repositories.
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Br
Most developers like to be unavailable on email without genuine queries,
one or the other we tell you to come thru git
On Thu 11 Oct, 2018, 22:26 Bert Gunter, wrote:
> ?maintainer
>
> in R accesses the package description file to provide maintainer info. No
> need to fool around with git or othe
On Thu, 11 Oct 2018, Amit Mittal wrote:
You can contact them as Marc suggested by opening an account at bit
(bitbucket/Atlassian) or git (github) Most prefer strongly to have a
primary at git before going to Atlassian other code checkers so you can
discover the package team there esp if any futu
On Thu, 11 Oct 2018, Bert Gunter wrote:
?maintainer
Bert,
I found maintainer names from the package entry in the local CRAN repo. I
suspect that the above does not work well with non-installed packages. Am I
wrong?
Regards,
Rich
__
R-help@r-pro
I recommend reading the DESCRIPTION file or the CRAN web page for the package
if it is on n CRAN, e.g. [1]. While every package on CRAN is supposed to have
an email for contact, many developers do prefer alternate communication
approaches. Github is NOT used universally though.
[1] https://cran
bug.report(package="thePackage")
will look through the DESCRIPTION file to figure out a good way to report
concerns about a package.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Thu, Oct 11, 2018 at 10:41 AM, Jeff Newmiller
wrote:
> I recommend reading the DESCRIPTION file or the CRAN web pa
Dear r-users,
I have this data:
structure(list(STUDENT_ID = structure(c(1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L), .Label = c("AA15285", "AA15286"), class = "factor"),
COURSE_CODE = structure(c(1L, 2L, 5L, 6L, 7L, 8L, 2L, 3L,
4L, 5L, 6L), .Label = c("BAA1113", "BAA1322", "BAA2113",
On 10/12/2018 12:12 AM, roslinazairimah zakaria wrote:
Dear r-users,
I have this data:
structure(list(STUDENT_ID = structure(c(1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L), .Label = c("AA15285", "AA15286"), class = "factor"),
COURSE_CODE = structure(c(1L, 2L, 5L, 6L, 7L, 8L, 2L, 3L,
Hi Denes,
It works perfectly as I want!
Thanks a lot.
On Fri, Oct 12, 2018 at 6:29 AM Dénes Tóth wrote:
>
>
> On 10/12/2018 12:12 AM, roslinazairimah zakaria wrote:
> > Dear r-users,
> >
> > I have this data:
> >
> > structure(list(STUDENT_ID = structure(c(1L, 1L, 1L, 1L, 1L, 1L,
> > 2L, 2L, 2
You said "add up"... so you did not mean to say that? Denes computed the mean...
On October 11, 2018 3:56:23 PM PDT, roslinazairimah zakaria
wrote:
>Hi Denes,
>
>It works perfectly as I want!
>
>Thanks a lot.
>
>On Fri, Oct 12, 2018 at 6:29 AM Dénes Tóth
>wrote:
>
>>
>>
>> On 10/12/2018 12:12 A
Yes, I thought that as well and had worked out this but didn't send it:
add_Pscores<-function(x) {
return(sum(unlist(x),na.rm=TRUE))
}
by(rzdf[,c("PO1M", "PO1T", "PO2M", "PO2T")],rzdf$STUDENT_ID,FUN=add_Pscores)
rzdf$STUDENT_ID: AA15285
[1] 724.8
---
Hi R users,
I don't know how to extract certain words in strings. For example, if I
have strings like the formats "StationName1_temp.csv",
"StationName2_temp.csv", etc. How to get strings like these "StationName1",
"StationName2", etc? That is to say, I want to exclude the keywords
"_temp.csv", bu
I just figured this out, which seems to be a simple question. I just used
gsub("_temp.csv","","StationName1_temp.csv").
> Hi R users,
>
> I don't know how to extract certain words in strings. For example, if I
> have strings like the formats "StationName1_temp.csv",
> "StationName2_temp.csv", et
I cannot imagine you looked very hard... this kind of question pops up all the
time on this mailing list. Read the help fur the sub() function... you want to
search for something and replace it with an empty string ("").
You should also know by now to post plain text on this mailing list.
On Oc
On 10/12/2018 04:36 AM, Jeff Newmiller wrote:
You said "add up"... so you did not mean to say that? Denes computed the mean...
Nice catch, Jeff. Of course I wanted to use 'sum' instead of 'mean'.
On October 11, 2018 3:56:23 PM PDT, roslinazairimah zakaria
wrote:
Hi Denes,
It works pe
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