On Tuesday, November 22, 2016 at 1:12:26 PM UTC-6, Harish Kumar wrote:
> I found the cause for this ... When i run julia 0.3.2 or 0.5 as standalone
> (mix model) it uses all the available cores from my server, so it was fast.
Fitting a linear mixed effects model only uses multiple threads for
I moved this discussion to https://discourse.julialang.org where it is
easier to format the code chunks.
On Monday, October 31, 2016 at 2:04:02 PM UTC-5, Douglas Bates wrote:
>
> I am encountering an unexpected amount of storage allocation in the
> cfactor!{A::HBlkDia
I am encountering an unexpected amount of storage allocation in the
cfactor!{A::HBlkDiag) method in the MixedModels package. See
https://github.com/dmbates/MixedModels.jl/blob/master/src/cfactor.jl for
the code.
An HBlkDiag matrix is a homogeneous block diagonal matrix where
"homogeneous"
On Friday, August 26, 2016 at 6:08:13 PM UTC-5, Min-Woong Sohn wrote:
>
> Does anybody know of any plan to support ArrayFire in GLM or MixedModels
> any time soon?
>
Do you have a particular application in mind or is this a general question?
For MixedModels I would say that, depending upon the
On Friday, June 24, 2016 at 8:39:09 AM UTC-4, Michael Borregaard wrote:
>
> Sorry for asking a question that should be super-basic, but I have looked
> all over the internet for this for an hour now: How does one specify
> polynomial terms in glm models?
>
> In R, I would:
>
> y ~ x + I(x^2)
>
>
I don't think there is a separate discussion forum for JuliaCon so I am
posting here.
I am using the eduroam network in the building and can't use the command
line git - the connection times out. I remember this happening a couple of
years ago too. It is recommended to use the MIT-Guest
ote:
>
>> Specialization of higher-order functions should be much improved in Julia
>> 0.5.
>>
>> On Friday, June 17, 2016 at 1:10:24 PM UTC-7, Douglas Bates wrote:
>>>
>>> I am writing a simulation function that loops over simulating a data set
>
I am writing a simulation function that loops over simulating a data set
and fitting multiple statistical models to the data. The exact form of the
output will depend on which characteristics of the fitted models I wish to
preserve. My inclination is to pass a callback function to take the
is is `readstring(`wc -l ratings.dat`)` on 0.5)
>
> -Jacob
>
>
> On Wed, May 18, 2016 at 11:43 AM, Douglas Bates <dmb...@gmail.com
> > wrote:
>
>> I have forgotten how to capture the output from a shell command. The
>> background is that the `wc` program
I have forgotten how to capture the output from a shell command. The
background is that the `wc` program on Linux (and, I assume, OS X) is an
incredibly fast way to count the number of lines in a data file, as in
julia> run(`wc -l ratings.dat`)
1000209 ratings.dat
I want to capture that
On Wednesday, April 6, 2016 at 6:05:04 PM UTC-5, Christina Castellani wrote:
>
> I am having difficulty figuring out how to pull out the residuals and
> fitted values from the result of an lmm in Julia using the package
> MixedModels.jl
>
> In R I would use "residuals(m)" or "fitted(m)", where m
notebook to incorporate both
Julia and R cells in a notebook, unless I use the RCall package for Julia.
But that solution doesn't highlight R code.
On Tue, 2016-03-22 at 16:46, Douglas Bates <dmb...@gmail.com >
> wrote:
> > This issue comes up in various forms from time t
This issue comes up in various forms from time to time. I will be giving a
presentation in a few days about mixed-effects models in R and Julia. If
it was an R-only presentation I would probably use the the RStudio tools to
create slides from .Rmd (R Markdown) sources. I would appreciate
On Friday, March 18, 2016 at 10:49:37 AM UTC-5, Christina Castellani wrote:
>
> I apologize for the beginner nature of my question but I am not
> understanding the file structure in Julia.
>
> I am wanting to run lmm on a very large file (47x2000), I would like
> to run one lmm on each of
I have been adding more tests to the MixedModels package and encountered a
peculiar situation where, AFAICS, a test should produce one type of failure
and it doesn't. It fails at a later point but I can't see how it gets
there.
To reproduce, check out a copy of the MixedModels master branch.
On Tuesday, March 8, 2016 at 3:55:03 PM UTC-6, Andreas Noack wrote:
>
> No problem. When you have made a change like this, i.e. a hard reset or a
> rebase and want to push the changes to an existing branch you'll have to
>
> git push --force origin glmms
>
> because git is trying to prevent you
els.jl/tree/anj/glmms where I've
> made exactly these changes or I can open a PR with my version.
>
> On Tuesday, March 8, 2016 at 1:46:08 PM UTC-5, Douglas Bates wrote:
>>
>> Having looked closer (nothing like a public post to cause you to read
>> again and discover yo
Having looked closer (nothing like a public post to cause you to read again
and discover you were wrong) I see that I did change all those files in the
glmms branch that Andreas changed in his pull request. I hadfixed the
issue that Andreas addressed but in a different way and our changes
-finance-review.org/
> Editor and Publisher, FAMe, http://www.fame-jagazine.com/
>
> On Thu, Feb 11, 2016 at 12:37 PM, Douglas Bates <dmb...@gmail.com
> > wrote:
>
>> Hi Ivo,
>>
>> Good to hear from you.
>>
>> On Wednesday, February 10, 2016 at 9:58:37 AM
On Thursday, February 11, 2016 at 6:27:26 PM UTC-6, Albert Cardona wrote:
>
> The formula operator is there via the GLM package [1], but I can't find
> the equivalent of the independent_test function [2].
>
> [1] https://github.com/JuliaStats/GLM.jl
> [2]
Hi Ivo,
Good to hear from you.
On Wednesday, February 10, 2016 at 9:58:37 AM UTC-6, ivo welch wrote:
>
>
> ladies and gents---I am not (yet) a julia user.
>
> may I suggest adding more examples into two places where julia users will
> face starting hurdles?
>
> [1] the I/O docs of julia. like,
ts"
> "00xyz.ts"
>
>
> Thank you. I was missing the fact that matchall existed. I had a
suspicion that there was a function like that but I was unable to navigate
the documentation to it.
>
> El jueves, 24 de diciembre de 2015, 12:30:52 (UTC-6), Douglas B
Short version:
I have a string that contains several instances of names of the form
1.ts, 2.ts, , 00xyz.ts and I want to find the last match.
That is, I want to find "00xyz.ts" or, alternatively, find all such names
in sequence..
Longer version:
These are file names of a series
The short version is: I have a sparse matrix A like
julia> m1.R[1,2]
6040x3706 sparse matrix with 1000209 Float64 entries:
[1 ,1] = 0.0874371
[6 ,1] = 0.0765784
[8 ,1] = 0.0558497
[9 ,1] = 0.0635299
[10 ,1] = 0.0333554
More careful reading of the spmatmul function in base/sparse/linalg.jl
provided a method directly downdates the dense square matrix C (i.e. does
not form a sparse A'A then downdate) but I still need to form a transpose.
If anyone knows of a fast way of forming A'A without creating the
f so, the commit
>> should be a few steps back in the reflog: `git reflog`
>>
>> On Fri, Oct 23, 2015 at 5:14 PM, Douglas Bates <dmb...@gmail.com
>> > wrote:
>>
>>> I tagged a new release of one of my packages. Just to ensure that
>>> everythi
I have a Tablo over-the-air video recorder (tablotv.com) which communicates
via a TCP socket. I almost know enough to be able to write Julia code to
communicate with it but not quite. For the sake of illustration let's
assume that its IP address on my network is 192.168.1.87. It communicates
On Monday, October 12, 2015 at 11:24:06 AM UTC-5, Matt wrote:
>
> ReadStat is an excellent C library by Evan Millers that allows to read
> files from Stata, SPSS and SAS.
> Evan wrote a wrapper for ReadStat in the Dataread.jl package
> https://github.com/WizardMac/DataRead.jl
> However, the
I want to perform an operation like the BLAS.gemm! operation with
multipliers α and β but for my own custom matrix type. The name gemm! is
unsuitable because the ge part indicates general matrices. I can, of
course, choose my own name for the generic but I thought I would ask if
there was
On Friday, September 11, 2015 at 8:18:39 AM UTC-5, Megan Smith wrote:
>
> For a statistical analysis in genomics, I need to evaluate a linear mixed
> effects model hundreds of thousands of times. I want to fit the model
>
> mod=fit(lmm(Y ~ X + (1|PatientID),Data))
>
> repeatedly in a loop with
I want to use sparse matrices in which the nonzeros are fixed-sized dense
matrices. The matrix is of size m*p by n*q with nz nonzero blocks, each of
size p by q. Generally p and q are very small but m, n and nz can be large.
In a CSC representation of such a matrix, A, the A.colptr and
In a FLAC (as in Free Lossless Audio Codec) package for version 0.4 I used
@enum to create a type to pass to calls to the C library libflac.
Metadata for a flac stream object.
Used in both encoding and decoding of a stream.
Each type of metadata object contains an indicator
of its `typ`, an
To answer my own question
for typ in instances(MetadataType) ... end
On Friday, July 31, 2015 at 9:41:13 AM UTC-5, Douglas Bates wrote:
In a FLAC (as in Free Lossless Audio Codec) package for version 0.4 I used
@enum to create a type to pass to calls to the C library libflac.
Metadata
Thanks for the suggestion, David. I am using RISE.
On Monday, June 22, 2015 at 10:08:08 AM UTC-5, David P. Sanders wrote:
El jueves, 4 de junio de 2015, 9:49:15 (UTC-5), Douglas Bates escribió:
The JuliaCon2015 organizers have suggested preparing conference
proceedings in the form
After profiling some code that I will discuss in a lightning talk at
JuliaCon I found a bottleneck in an unexpected place. (I guess I should
know by now that profiling always shows that the bottleneck is in an
unexpected place - that's why we do it.)
I have a matrix of matrices, some of which
The JuliaCon2015 organizers have suggested preparing conference proceedings
in the form of Jupyter notebooks, which I think is a great idea. I have
considered going further and preparing presentation slides using Jupyter.
I know this can be done but many of the search engine hits on the topic
Is there a way to determine if an array is memory-mapped? I know that if
the file was opened read-only then trying to write to the array throws an
error but that seems a rather heavy-handed approach. Perhaps this is not
possible because the memory-mapped file behaves just like a chunk of
On Thursday, May 7, 2015 at 11:55:59 AM UTC-5, Kristoffer Carlsson wrote:
Boring but non allocating like list comprehension and anonymous function:
m = typemin(Int16)
for TUnit in TUnitS
m = max(m,TUnit.tau_max)
end
Even more compact is to use a function as the first argument to
On Tuesday, February 24, 2015 at 3:47:12 PM UTC-6, Seth wrote:
I was surprised to find that there is no method on sizehint! for sparse
matrices:
ERROR: MethodError: `sizehint!` has no method matching sizehint!(::Base.
SparseMatrix.SparseMatrixCSC{Int64,Int64}, ::Int64)
Is this
On Monday, February 16, 2015 at 10:30:36 AM UTC-6, Jameson wrote:
Gtk.jl has a rather substantial example (I think it's in
src/GLib/glists.jl, but I'm on an iPhone)
If Fermat were alive today his famous enigmatic note would be I have
discovered a wonderful proof of this but I'm on an
On Thursday, February 12, 2015 at 10:03:04 PM UTC-6, Zouhair Mahboubi wrote:
I'm trying to find the column indices of non-zero elements of a given row
in a sparse matrix A
I figured using findn would be a fast way to do that, but I was curious to
see how the implementation was done since
I'm having difficulty navigating my way around documentation standards for
v0.4-, and whether the Docile or Lexicon or Markdown packages are needed.
What would be a good package to study to see how @doc, etc. should be used?
/CSVReaders.jl
* https://tshort.github.io/Sims.jl/
In Sims.jl, I used Mkdocs (mkdocs.org) along with Docile/Lexicon to
create that documentation site.
On Tue, Jan 13, 2015 at 4:59 PM, Douglas Bates dmb...@gmail.com
javascript: wrote:
I'm having difficulty navigating my way around
This is trivial to write myself but I wanted to check that I am not missing
an already-defined function. I need to scan an Int32 array replacing all
instances of typemin(Int32), which is the missing value sentinel used by R,
with zero(Int32). Is such substitution implemented by a function in
On Wednesday, January 7, 2015 1:48:31 PM UTC-6, Christoph Ortner wrote:
Thanks for your replies - I will write a short piece of code that shows
the performance problem, and then submit an issue.
Christoph
P.S: I do use sparse(I,J,V) to construct the matrix, but I am then unable
to
.
Please let me know how I could be helping in the development of the
package.
Best
Randy
On Friday, January 2, 2015 11:59:04 AM UTC-8, Douglas Bates wrote:
For many statistics-oriented Julia users there is a great advantage in
being able to piggy-back on R development and to use at least
issue.
// T
On Monday, January 5, 2015 10:50:04 PM UTC+1, Douglas Bates wrote:
The (unregistered) [RCall](https://github.com/JuliaStats/RCall.jl)
package is an initial cut at the interface. I am not happy with all the
names that I chose and welcome suggestions of improvements. For some
...@iastate.edu
wrote:
That sounds great! Rcall.jl or RCall.jl are fine names; RStats.jl may
be slightly more search-friendly for people coming from R, since they may
not know about PyCall.
On Friday, January 2, 2015 1:59:04 PM UTC-6, Douglas Bates wrote:
For many statistics-oriented Julia
For many statistics-oriented Julia users there is a great advantage in
being able to piggy-back on R development and to use at least the data sets
from R packages. Hence the RDatasets package and the read_rda function in
the DataFrames package for reading saved R data.
Over the last couple of
and recipient of the derived work without a valid license for
the GPL code, leaving them open to legal action by the copyright holders of
the GPL code.
On Fri, Jan 2, 2015 at 4:54 PM, Simon Kornblith si...@simonster.com
javascript: wrote:
On Friday, January 2, 2015 2:59:04 PM UTC-5, Douglas
Type consistency will help. R has the unusual convention that 0 is a
floating-point constant. In Julia 0 is an integer. Use '0.0' for a
floating point value in places like
if R = r0
F0 = log10(r0/R)
else
F0 = 0
end
which could be rewritten
F0 = R = r0 ? log10(r0/R) : 0.0
Then
Perhaps the R version of the microbenchmarks could be run on Revolution R
Open, http://mran.revolutionanalytics.com/download/. The major difference
between RRO and other versions is that RRO incorporates MKL. For one or
two of the benchmarks this could make a difference.
By the way, I was
Is anyone working on a Julia package or packages to work with pedigrees, in
the sense used in animal breeding? Ana Vazquez and I are developing such a
package which we plan to call Pedigrees. Its principle type will be
Pedigree, which is constructed from two Integer vectors representing the
the recommended Matrix package for R
that Martin Mӓchler and I wrote). I have the suspicion that the ideas are
the same, it's just the names that are different.
On Tuesday, December 16, 2014 10:03:06 AM UTC-7, Douglas Bates wrote:
Is anyone working on a Julia package or packages to work with pedigrees
I realize it would be a one-liner to write one but, in the interests of not
reinventing the wheel, I wanted to ask if I had missed a function that does
this. In R there is such a function called which but that name is
already taken in Julia for something else.
On Thursday, December 11, 2014 3:21:07 PM UTC-6, John Myles White wrote:
Does find() work?
Yes. Thanks.
-- John
On Dec 11, 2014, at 4:19 PM, Douglas Bates dmb...@gmail.com javascript:
wrote:
I realize it would be a one-liner to write one but, in the interests
If I have a memory-mapped array, say an uncompressed dataset in a HDF5
file, can I convert it to a SharedArray directly? From my, admittedly
inexpert, reading of base/sharedarray.jl it seems that a SharedArray will
end up being memory-mapped. Is there a way to avoid creating a new
I have been working on a package https://github.com/dmbates/ParalllelGLM.jl
and noticed some peculiarities in the timings on a couple of shared-memory
servers, each with 32 cores. In particular changing from 16 workers to 32
workers actually slowed down the fitting process. So I decided to
On Thursday, December 4, 2014 1:50:06 PM UTC-6, Viral Shah wrote:
On 05-Dec-2014, at 1:16 am, Douglas Bates dmb...@gmail.com
javascript: wrote:
Thanks, I'll try that. I'm still curious as to why there is so little
difference between 8 and 16 threads.
peakflops() just performs
}:
1.65354e11
1.7099e11
1.70911e11
1.71407e11
1.71238e11
1.70983e11
On Dec 4, 2014, at 3:24 PM, Viral Shah vi...@mayin.org javascript:
wrote:
On 05-Dec-2014, at 1:32 am, Douglas Bates dmb...@gmail.com
javascript: wrote:
On Thursday, December 4, 2014 1:50:06 PM UTC-6
. That helps to explain a lot.
On Thursday, December 4, 2014 11:13:38 PM UTC+2, Douglas Bates wrote:
On Thursday, December 4, 2014 2:32:01 PM UTC-6, Stefan Karpinski wrote:
Hyperthreading? Of the threshold is 16 but you're really only getting 8
cores, you might only get scaling up to 8
On Monday, November 17, 2014 12:02:07 PM UTC-6, Eka Palamadai wrote:
I don't know what matlab does.
As a user, ones(n,1) and ones(n) both return me a vector, and it is
confusing to find that ones(n,1) != ones(n).
As Andreas and Tim have tried to say, your claim that ones(n,1) and
On Tuesday, November 11, 2014 5:16:35 PM UTC-6, Douglas Bates wrote:
PythonTeX (https://github.com/gpoore/pythontex) now supports Julia with
the package option
usefamily=jl
or
usefamily={julia,jl}
I am still flailing around trying to get both the expression that is
evaluated and its
Also, there is a disadvantage in leaning too hard on CHOLMOD or UMFPACK or
CSparse code in that the licenses are GPL or LGPL. The goal is eventually
to eliminate those dependencies.
On Wednesday, November 12, 2014 2:37:28 PM UTC-6, Tony Kelman wrote:
Virtually all operations on sparse
PythonTeX (https://github.com/gpoore/pythontex) now supports Julia with the
package option
usefamily=jl
or
usefamily={julia,jl}
I am still flailing around trying to get both the expression that is
evaluated and its value shown in the compiled LaTeX document. Does anyone
have experience
On Monday, November 10, 2014 12:55:24 PM UTC-6, Steven G. Johnson wrote:
On Tuesday, September 2, 2014 3:58:25 PM UTC-4, Jake Bolewski wrote:
It would be best to incorporate it into the HDF5 package. A julia
package would be useful if you wanted to do the same sort of compression on
On Thursday, November 6, 2014 9:14:10 AM UTC-6, Sebastian Good wrote:
Working through the excellent coursera machine-learning course, I found
myself using the row-wise (axis-wise) dot product in Octave, but found
there was no obvious equivalent in Julia.
In Octave/Matlab, one can call
.
On Thursday, November 6, 2014 10:42:26 AM UTC-5, Douglas Bates wrote:
On Thursday, November 6, 2014 9:14:10 AM UTC-6, Sebastian Good wrote:
Working through the excellent coursera machine-learning course, I found
myself using the row-wise (axis-wise) dot product in Octave, but found
Good*
On Thu, Nov 6, 2014 at 1:10 PM, Douglas Bates dmb...@gmail.com
javascript: wrote:
On Thursday, November 6, 2014 10:48:26 AM UTC-6, Sebastian Good wrote:
A good solution for this particular problem, though presumably uses more
memory than a dedicated axis-aware dot product method
Did you add the PPA for julia-deps in addition to juliareleases? Elliot
has versions of dependencies that are compatible with the Julia packages.
On Monday, November 3, 2014 11:20:53 AM UTC-6, a. kramer wrote:
I recently upgraded to Xubuntu 14.10. On 14.04 I was using the PPA
I haven't finished with the notebook
http://nbviewer.ipython.org/github/dmbates/JuliaWorkshop/blob/master/ParallelGLM.ipynb
but, unfortunately, must turn my attention to something else. I'll get
back to it tomorrow. In the meantime, if someone has a hint as to where
the memory allocation is
I think this is due to a recent change in 0.4.0. The declaration
# use ContiguousView when contiguousness can be determined statically
immutable ContiguousView{T,N,Arr:Array{T}} : ArrayView{T,N,N}
arr::Arr
offset::Int
len::Int
shp::NTuple{N,Int}
end
throws an ERROR: T not
Those coming to Julia from languages like Python, R, Matlab/Octave, etc.
have it ingrained in them to fear the loop and to perform loop-like
calculations in verbose and convoluted ways. It is actually quite easy
to do this calculation in Julia with very little storage allocation by
writing
Also, in your Julia code you have used *nvars* without defining it. You
probably intended
n,nvars=size(X)
On Tuesday, October 14, 2014 6:57:57 AM UTC-5, David Gonzales wrote:
The thing with julia is that most of the language is written in julia, so
getting answers means just reading more julia code. So in GLM/src/lm.jl
there is a function coeftable(..) that generates the above table. Taking
the
Is there an existing method for solving sparse triangular systems - taking
advantage of the sparseness and the triangularity?
It seems that with the templated Triangular type taking the matrix type as
well as the element type it should be straightforward to create a
them somewhere but I was looking for
such methods in the base/sparse directory instead of base/linalg.
Med venlig hilsen
Andreas Noack
2014-10-06 13:06 GMT-04:00 Douglas Bates dmb...@gmail.com javascript::
Is there an existing method for solving sparse triangular systems -
taking advantage
On Friday, September 26, 2014 2:50:51 AM UTC-5, Staro Pickle wrote:
Thank you all.
On Friday, September 26, 2014 2:50:56 AM UTC+8, Jason Riedy wrote:
Others have given some reasons... If you want to see contortions
that were (perhaps still are) necessary to be competitive, see:
On Thursday, September 18, 2014 2:36:53 PM UTC-5, paul analyst wrote:
No idea ?
W dniu 2014-09-18 o 13:26, paul analyst pisze:
I have a vector x = int (randbool (100))
a / how quickly (without the loop?) receive 10 vectors of length 10,
in each field the average of the next 10 fields
Part of the problem is the definition of benchmark. If all you are doing
is solving a linear system or evaluating a decomposition then you are just
benchmarking the BLAS/LAPACK implementation. It doesn't really matter if
user-facing language is Matlab or Octave or R or Julia. They are just a
On Wednesday, September 17, 2014 1:36:16 PM UTC-5, Douglas Bates wrote:
On Wednesday, September 17, 2014 1:03:25 PM UTC-5, DumpsterDoofus wrote:
I am having trouble with `permute!`, the in-place version of
`permutedims`. I tried the following:
A = rand(Float32, 20, 30, 40, 2);
permute
On Friday, September 12, 2014 12:41:49 AM UTC-5, Christoph Ortner wrote:
That did work - thank you, see code below. To explain: this came from a
bottleneck in a bigger code, so my problem there must be a different one.
-- Christoph
function testtime()
a1 = rand(10, 10, 100, 100)
The short answer is vcat, as in
julia A = Array(Int,(0,2))
0x2 Array{Int64,2}
julia vcat(A,[1,2]')
1x2 Array{Int64,2}:
1 2
Note that the ' is important as it cause the column vector [1,2] to be
reshaped into a 1 by 2 matrix.
You may find it more effective to create the columns separately
On Monday, September 8, 2014 11:18:02 AM UTC-5, Jeff Waller wrote:
On Monday, September 8, 2014 7:37:52 AM UTC-4, Mohammed El-Beltagy wrote:
Octave seems to be doing a pretty good job for this type of calculation.
If you want to squeeze a bit more performance out of Julia, you can try to
Now that the JLD format can handle DataFrame objects I would like to switch
from storing data sets in .RData format to .jld format. Datasets stored in
.RData format are compressed after they are written. The default
compression is gzip. Bzip2 and xz compression are also available. The
/fileexchange/39721-save-mat-files
-more-quickly). But perhaps there's a good middle ground. It would
take
someone
doing a little experimentation to see what the compromises are.
--Tim
On Tuesday, September 02, 2014 08:30:39 AM Douglas Bates wrote:
Now that the JLD
On Monday, September 1, 2014 9:48:46 AM UTC-5, Bradley Setzler wrote:
Thanks Taylor, added predict method to documentation.
It may be useful to clarify the scale of the values returned by predict.
Is it the scale of the linear predictor or the scale of the mean response?
For the Normal
, 2014 4:35:05 PM UTC-5, Douglas Bates wrote:
On Thursday, August 21, 2014 4:20:46 PM UTC-5, Thomas Covert wrote:
Is there a reference somewhere for the formula language specified in
DataFrames and used in MixedModels? In particular, I'm confused about how
fixed- and random-effects
On Thursday, August 21, 2014 4:20:46 PM UTC-5, Thomas Covert wrote:
Is there a reference somewhere for the formula language specified in
DataFrames and used in MixedModels? In particular, I'm confused about how
fixed- and random-effects are separately specified. For example, suppose
I've
I find it convenient to use identifiers like
julia a₁ = 2
2
In the iESS emacs mode for a Julia session I can set the input-mode to TeX
and type a_1 to create this identifier. Is there a key sequence in the
REPL to create such an identifier?
On Wednesday, August 20, 2014 10:10:15 AM UTC-5, John Myles White wrote:
Try typing the sequence \_1TAB
Thanks.
It may be due to a because it's there syndrome but I feel that code is
easier to understand when I use ≠ instead of !=. Now I am trying to
remember the UTF8 symbols and TeX-like names for == and ===. I know there
is a table of these somewhere but perfunctory searches of
I'm getting an error from ccall when the first argument is a tuple of a
symbol and a string.
julia libwsmp
/home/bates/.julia/v0.4/WSMP/deps/usr/lib/libwsmp
julia
ccall((:wkktord_,libwsmp),Void,(Ptr{Cint},Ptr{Cint},Ptr{Cint},Ptr{Cint},Ptr{Cint},
On Thursday, August 14, 2014 2:06:06 PM UTC-5, Ivar Nesje wrote:
Does it help to declare libwsmp as const?
Now the problem seems to have cured itself. I'm not sure what I am doing
differently.
I am experimenting with calling IBM's Watson Sparse Matrix Package (WSMP)
from Julia.
This is not Open Source software. It is shipped as a library. The
evaluation version is a static library but the author was kind enough to
send me a dynamic library for Linux.
I was able to compile, link
Strangely, I can get the symbol if I first get a handle with dlopen
julia const libwsmp = Pkg.dir(MixedModels,deps, usr, lib,
libwsmp64.so)
/home/bates/.julia/v0.3/MixedModels/deps/usr/lib/libwsmp64.so
julia tt = dlopen(libwsmp)
Ptr{Void} @0x03488090
julia typeof(tt)
Ptr{None}
julia
Now that I have read the documentation it is not really so strange because
that docs say that the first argument should be a handle. So never mind.
Yes.
and education.
Regards,
Don
On Thursday, July 31, 2014 4:49:21 PM UTC-4, Douglas Bates wrote:
Rats, I had a reply with code and examples then Google groups croaked and
when it reloaded my draft reply was gone.
On Thursday, July 31, 2014 2:13:36 PM UTC-5, Donald Lacombe wrote:
Dear Doug
What are the lines on the plot? I am assuming that the magenta color is
the raw counts and the green is some kind of smoothed values (moving
averages?).
On Friday, August 1, 2014 3:03:36 PM UTC-5, Stu Thompson wrote:
Hi folks,
I wanted to share a graph with everyone: JuliaLang questions
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