Muhammad Zubair Chishti:
What specifically have you tried? What were the results?
Please "provide commented, minimal, self-contained, reproducible
code", per "the posting guide
http://www.R-project.org/posting-guide.html", as indicated in at the end
of each email in this thread.
And don't overlook the suggestion I made: Download the archived
package. Do NOT try to compile it. Instead source only the function you
want, try to run it. With luck, it will work. If it doesn't, you will
get a diagnostic that can help you take the next step.
Spencer
On 7/3/22 1:28 AM, Andrew Simmons wrote:> It seems like this package was archived because package
"ifultools"
> was archived. I tried installing "ifultools" from source, but it
has a
> seriously large amount of C compilation issues. The main issue seems
> to be that variable PROBLEM was never defined anywhere, and it is
> unclear what its definition should be. Unfortunately, as far as I can
> tell, this issue is unfixable. If you want to install "wmtsa",
you'll
> have to use an older version of R. Otherwise, you can use one of the
> other wavelet analysis packages that Richard O'Keefe mentioned.
>
> On Sun, Jul 3, 2022 at 2:01 AM Muhammad Zubair Chishti
> <mzchishti at eco.qau.edu.pk> wrote:
>>
>> Dear Respected Experts and specifically Professor Richard O'Keefe,
>> Thank you so much for your precious time and generous help. However,
the
>> problem is still there and I am just unable to resolve it due to the
lack
>> of expertise in R. Still, the hope is there. I believe that this
platform
>> can help me.
>>
>> Regards
>> Muhammad Zubair Chishti
>> School of Business,
>> Zhengzhou University, Henan, China
>> My Google scholar link:
>> https://scholar.google.com/citations?hl=en&user=YPqNJMwAAAAJ
>> My ReseachGate Profile:
>> https://www.researchgate.net/profile/Muhammad-Chishti
>>
>>
>> On Sun, Jul 3, 2022 at 9:11 AM Richard O'Keefe <raoknz at
gmail.com> wrote:
>>
>>> A postscript to my previous comment.
>>> I used to supervise PhD students.
>>> Let me advise you to write this issue up as a draft section for
your
>>> thesis.
>>> 1. Why I wanted to use the wmtsa package.
>>> 2. Why I didn't.
>>> 3. How I went about selecting a replacement.
>>> 4. What I chose and why that's the right choice.
>>> 5. How the analyses I wanted to do are done in
>>> package X and what difference it makes.
>>>
>>> Off the top of my head, the only reasons for struggling to use an
old
>>> package are to try to replicate someone else's results and/or
to try to use
>>> their software (built atop the dead package) with new data. Well,
if you
>>> get different results, that's interesting too, and then
it's time to work
>>> harder to resurrect the dead package.
>>>
>>> Speaking of which, an easier route might be to set up a separate
>>> environment running an old version of R that *can* run the old code
and the
>>> old code's dependencies. In fact trying to use the same
versions that the
>>> work you're trying to reproduce used might make a lot of sense.
>>>
>>> Overall, I think selecting an alternative package
>>> that *is* currently maintained is the best use of your time, but
your
>>> supervisor should be able to help you with that. Selecting
appropriate
>>> packages is part of doing research, after all, and demonstrating
>>> that you can do it is all to the good, no?
>>>
>>>
>>> On Sun, 3 Jul 2022 at 15:24, Richard O'Keefe <raoknz at
gmail.com> wrote:
>>>
>>>> Can we start a step back please?
>>>> wmtsa stands for
>>>> Wavelet Methods for Time Series Analysis.
>>>>
>>>> OK, so you have some time series data,
>>>> and for some reason you want to analyse
>>>> your data using wavelets. No worries.
>>>> But does it have to be THIS unmaintained
>>>> package?
>>>>
>>>> Why not visit
>>>>
>>>> https://CRAN.R-project.org/view=TimeSeries
>>>> and search for "wavelets" in the text?
>>>> Oh heck, I might as well do it for you.
>>>> <snip>
>>>> *Wavelet methods* : The wavelets
>>>>
<https://cran.r-project.org/web/packages/wavelets/index.html> package
>>>> includes computing wavelet filters, wavelet transforms and
multiresolution
>>>> analyses. Multiresolution forecasting using wavelets is also
implemented in
>>>> mrf
<https://cran.r-project.org/web/packages/mrf/index.html>. WaveletComp
>>>>
<https://cran.r-project.org/web/packages/WaveletComp/index.html>
>>>> provides some tools for wavelet-based analysis of univariate
and bivariate
>>>> time series including cross-wavelets, phase-difference and
significance
>>>> tests. biwavelet
>>>>
<https://cran.r-project.org/web/packages/biwavelet/index.html> is a port
>>>> of the WTC Matlab package for univariate and bivariate wavelet
analyses.
>>>> mvLSW
<https://cran.r-project.org/web/packages/mvLSW/index.html>
>>>> provides tools for multivariate locally stationary wavelet
processes.
>>>> LSWPlib
<https://cran.r-project.org/web/packages/LSWPlib/index.html>
>>>> contains functions for simulation and spectral estimation of
locally
>>>> stationary wavelet packet processes. Tests of white noise using
wavelets
>>>> are provided by hwwntest
>>>>
<https://cran.r-project.org/web/packages/hwwntest/index.html>. Wavelet
>>>> scalogram tools are contained in wavScalogram
>>>>
<https://cran.r-project.org/web/packages/wavScalogram/index.html>.
>>>> Further wavelet methods can be found in the packages rwt
>>>> <https://cran.r-project.org/web/packages/rwt/index.html>,
waveslim
>>>>
<https://cran.r-project.org/web/packages/waveslim/index.html>, wavethresh
>>>>
<https://cran.r-project.org/web/packages/wavethresh/index.html>.
>>>> </snip>
>>>>
>>>> Presumably there is a reason that nobody else has
>>>> bothered to continue maintaining wmtsa. Perhaps
>>>> one of those other wavelets + time series packages
>>>> can do what you need?
>>>>
>>>>
>>>> On Sun, 3 Jul 2022 at 04:12, Muhammad Zubair Chishti <
>>>> mzchishti at eco.qau.edu.pk> wrote:
>>>>
>>>>> Dear Experts,
>>>>> I cannot find a package "wmtsa" for my R version
"R 4.2.0". Kindly help
>>>>> me
>>>>> to find it or share the link with me.
>>>>> Although I tried the old version of "wmtsa" but
failed.
>>>>> Thank you for your precious time.
>>>>>
>>>>> Regards
>>>>> Muhammad Zubair Chishti
>>>>>
>>>>> [[alternative HTML version deleted]]
>>>>>
>>>>> ______________________________________________
>>>>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and
more, see
>>>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>>>> PLEASE do read the posting guide
>>>>> http://www.R-project.org/posting-guide.html
>>>>> and provide commented, minimal, self-contained,
reproducible code.
>>>>>
>>>>
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.