On Tue, Mar 7, 2017 at 2:52 AM, Allan Tanaka wrote:
> HiSo I tried running the p but i'm stuck as i get the following error:
> In download.file(url, destfile, method = method, quiet = quiet) : cannot
> open URL
> 'http://chart.yahoo.com/table.csv?s=DJI&a=2&b=13&c=2012&d=2&e=07&f=2017&g=d&q=q&y=
Hi all,
first of all, thanks a lot in advance for your help. I am running a
sequence of post-hoc tests with glht (mutcomp package), but the function
summary warns me that the algorithm ends with an error > abseps.
$ hr.ph <- glht(hr.lm, linfct = ph_conditional);
$ summary(hr.ph)
Warning messages
Thanks a lot for the feedback, Dirk and Mehmet,
My (large) test-code is in RUnit and so I'm glad to hear that it is fine.
RUnit worked very well for me and I do not have a reason to switch.
[[alternative HTML version deleted]]
__
R-help@r-proje
Please go to:
http://cran.r-project.org/
and start reading. In particular, how to download packages and other software.
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County"
Thanks, Bert. This website is comprehensive. So for any kind of packages in
the future, can I just download from this website? I did a search from
google before.
On Tue, Mar 7, 2017 at 12:14 PM, Bert Gunter wrote:
> Huh?
>
> I just installed the Mavericks binary on my OSX Sierra without problems
Huh?
I just installed the Mavericks binary on my OSX Sierra without problems:
install.packages("lubridate", repos='https://cran.revolutionanalytics.com')
A google search would have found this essentially instantly!
As for native R functions for parsing dates: of course!
?strptime
Again, a goo
Or if there is another way to get '', 'mm', and 'dd' from time variable
'dd-mm-'? Thanks very much.
On Tue, Mar 7, 2017 at 11:45 AM, lily li wrote:
> Hi R users,
>
> I'd like to ask that where to find the 'lubridate' package for Mac Sierra?
> I downloaded one version for OS X Mavericks
Hi R users,
I'd like to ask that where to find the 'lubridate' package for Mac Sierra?
I downloaded one version for OS X Mavericks binaries, but it does not work.
The error message is as below:
> install.packages("~/Downloads/lubridate_1.6.0.tar.gz", repos = NULL, type
= "source")
ERROR: dependen
Lattice (comes with R).
Is it really necessary for you you use such an antiquated version of R just
because your computer is old? (I don't use Macs, but that is not necessarily so
for other operating systems.)
--
Sent from my phone. Please excuse my brevity.
On March 7, 2017 3:12:48 AM PST, su
The earthmovdist repo on R-Forge is alive and well. Rainer and I simply
stopped doing work on it as the authors of the Emd-L1 library we use could
not get a liberal license for this. Note the language in the source code
(src/emdL1.cpp) and please make sure YOUR use is in compliance.
But as I us
On 07/03/2017 6:12 AM, surendra jain wrote:
Dear all,
I have an old Macbook and I have installed R version 2.15.3. But
ggplot2 is not available for this version of R. Can someone suggest me
an alternative to ggplot2 (for plotting using R) for Mac version
10.5.8.
You will automatically have
Dear Dominic,
Thanks a lot for the quick reply.
Just a few questions to make sure I got it all right (I now understand that
transport and spatstat in particular can do much more than I need
right now).
Essentially I am after the Wasserstein distance between univariate
distributions (and it would b
Dear All,
From time to time I need to resort to the calculation of the earth
mover' distance (see
https://en.wikipedia.org/wiki/Earth_mover's_distance and
https://en.wikipedia.org/wiki/Wasserstein_metric .
In the past I used the package
https://r-forge.r-project.org/projects/earthmovdist/
wh
Dear All,
From time to time I need to resort to the calculation of the earth
mover' distance (see
https://en.wikipedia.org/wiki/Earth_mover's_distance and
https://en.wikipedia.org/wiki/Wasserstein_metric .
In the past I used the package
https://r-forge.r-project.org/projects/earthmovdist/
wh
Dear all,
I have an old Macbook and I have installed R version 2.15.3. But
ggplot2 is not available for this version of R. Can someone suggest me
an alternative to ggplot2 (for plotting using R) for Mac version
10.5.8.
Best Regards,
Surendra
__
R-hel
Dear Lorenzo,
The code you have attached (if you replace 00 by 50) generates two sets of 50
points each that are uniformly distributed on the unit square [0,1]^2 and then
computes the Wasserstein-1 distance between them assuming that each point has
mass 1/50. Do the following to get a plot of t
Apologies Bert, not sure I follow the question?
The code is sort of pieced together from different thinks I've tried. Due
to projection issues I've tried various different ways of carrying out a
spatial join. Most of the code is based around making the join easier e.g
by recreating unique identifie
HiSo I tried running the p but i'm stuck as i get the following error:
In download.file(url, destfile, method = method, quiet = quiet) : cannot open
URL
'http://chart.yahoo.com/table.csv?s=DJI&a=2&b=13&c=2012&d=2&e=07&f=2017&g=d&q=q&y=0&z=DJI&x=.csv':
HTTP status was '404 Not Found'
Here is t
Change the "4" in embed(c(0*x[-1], x, 0*x[-1]), 4) to length(x) and it will
generalize to other length vectors. This solution is not as compact, but it
illustrates a relatively obscure R function:
> x <- 1:4
> ncol <- length(x)
> zeros <- rep(0, ncol - 1)
> toeplitz(c(zeros, x, zeros))[-(1:(ncol
Did you look at the FAQ?
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Tue, Mar 7, 2017 at 1:35 AM, Henry Cann wrote:
> Apologies Bert, not sure I fo
On 6 March 2017 at 19:04, Hans-Peter Suter wrote:
| I see that quite some packages nowadays use testthat and that RUnit doesn't
| have recent updates. On the other hand Rccp, fTrading and others (still)
| test with RUnit.
RUnit is alive and well, look at
https://cran.r-project.org/package=
Dear all,
I was using R version 3.3.2 to install devtools and some other packages in
order to create models and generate a web service that can be seen in the
Microsoft Azure Machine Learning Studio environment.
Now, since Azure works with CRAN R version 3.1.0, I decided to download
this R versio
If you read your data into R, it is simple to compute the percentages. Use Save
As in Excel to save your data as a .csv (comma separated variables) file. Then
use read.csv() to create a data frame in R as Jim indicated. Put it in the
default directory that R is using (this depends on what operat
Assuming that the input is x <- 1:4, try this one-liner:
> embed(c(0*x[-1], x, 0*x[-1]), 4)
[,1] [,2] [,3] [,4]
[1,]1000
[2,]2100
[3,]3210
[4,]4321
[5,]0432
[6,]0043
[7,]0004
On Mo
Hi Thilini,
It is fairly simple in R once you have imported the data. Say you have
a data frame obtained by exporting the Excel table to CSV and then
importing it with "read.csv". I'm not sure whether you have a number
in each cell or just a 0/1 absent/present value, but it may not
matter. Assume t
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