Dear all,
I am trying to parallelize the function npnewpar given below. When I am
comparing an application of apply with parApply the parallelized version
seems to be much slower (cf output below). Therefore I would like to ask how
the function could be parallelized more efficient. (With
Hi Markov
I have no idea of what nabble is or why it exists but the real problem with it
is that it looks like (is?) a form where questions and responses are threaded
so that it is obvious what the on-going conversation is.
So a nabble user will respond with something like :
Great but why xx1
That's what I get for reading without a cup of tea beside me. I looked at 5 and
my eye just slide over the last entries.
I change my assessment : this looks bad. (Tea at hand).
So, presumably Farnoosh may not be able to guarantee the formats for 3 4
either unless they are unambiguously
Dear All,
What are inner and outer matrix multiplication. Kindly guide me where to look
for this Wikipedia was not much help.
Thanks in Advance,
Harmeet
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Hello All,
I wanted to know if there is a quick tutorial which I could be pointed to,
for the understanding of setting R and R studio on Amazon web services.
Thanks in Advance,
Harmeet
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This does not look good. But not too bad
Can we assume that the original data is in D-M-Y in all cases. The values at 3
4 in the sample data are ambigous, in that someone may be using the American
dating system of M-D-Y. Given the rest of the data it seems unlikely but
possible.
Otherwise
On Thu, Jul 30, 2015 at 9:14 AM, John Kane jrkrid...@inbox.com wrote:
This does not look good. But not too bad
Can we assume that the original data is in D-M-Y in all cases. The values at
3 4 in the sample data are ambigous, in that someone may be using the
American dating system of M-D-Y.
Parallelizing comes at a price... and there is no guarantee that you can afford
it. Vectorizing your algorithms is often a better approach. Microbenchmarking
is usually overkill for evaluating parallelizing.
You assume 4 cores... but many CPUs have 2 cores and use hyperthreading to make
each
I ran a test on my Windows box with 4 CPUs. THere were 4 RScript processes
started in response to the request for a cluster of 4. Each of these ran
for an elapsed time of around 23 seconds, making the median time around 0.2
seconds for 100 iterations as reported by microbenchmark. The 'apply'
I am trying to annotate a graph using geom_text() and I seem to be
misunderstanding how to use a date in the co-ordinates---or, at least, I think
that is the problem. Code is below.
Can anyone give me a suggestion of where I am going wrong?
Thanks,
John
John Kane
Kingston ON Canada
Thank you all for your help.I came to this conclusion that data needs to be
verified by its source. Thanks again.
On Thursday, July 30, 2015 7:07 AM, John Kane jrkrid...@inbox.com wrote:
That's what I get for reading without a cup of tea beside me. I looked at 5
and my eye just
On 30 Jul 2015, at 16:00 , MyList mylistt...@gmail.com wrote:
Dear All,
What are inner and outer matrix multiplication. Kindly guide me where to look
for this Wikipedia was not much help.
I'd need some context to be sure, but some use tr(AB) as the inner product in a
space of square
Hello,
I am working with Shiny and want to use it to show user-entered input from
a check box. However, when using verbatimTextOutput with no options
selected in the check box I get character(0) as the output. Is there any
way to make this so it displays nothing instead?
Thanks
#Begin R code
Hello,
I am trying to do a nls regression with R. but I always get a error
as Error in numericDeriv(form[[3L]], names(ind), env) : Missing
value or an infinity produced when evaluating the model. I googled
it and found someone said it is because of the improper start value. I
tried many times
Shiny is not R. It is an RStudio product, which is separate from R. So
I think you need to post on RStudio's support forum, not here.
Cheers,
Bert
Bert Gunter
Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom.
-- Clifford Stoll
On Thu, Jul 30, 2015
On Jul 30, 2015, at 8:37 AM, sbihorel wrote:
Hi,
When the as.layer function is used to overaly 2 lattice plots, there seems to
be an assumption that the data used in both plots will generate the same
number of panels (and, I believe, in the same order). In case the data used
in the
Dear All,
I have seeing a lot of apis', (like worldmate or new product called sift from
easilydo) which is used for parsing email and different itinerary tickets. Is
there any packages in R which does that?
Regards,
Anshuk Pal Chaudhuri
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Hi!
I am trying yo run a regression using the plm package.
I tried in two different ways, that should give the same result, but
eventually do not; and i cannot understand the reason.
- The first way:
Accellerator.model - read.delim(~/Desktop/Tesi/Accellerator model.txt)
data - Accellerator.model
Thanks Greg once more for taking the time to reply. I certainly agree that
this is not a simple set-up, although it is realistic I think. In short you
are correct about model mis-specification being the key to producing more
biased estimates under informative than under non-informative censoring.
Here is a Rcpp version for exact character matching (for example) written
in C++ that is substantially faster. Hence, I think this is the way to go
where loops may be unavoidable. However, the input vector length has to
match the length of the pattern and replacement vectors, as your original
I have never looped before and know I need to. I am unsure how to proceed:
- Action I need done: d(Data[1,2:399], q=0, boot=TRUE,
boot.arg=list(num.iter=1000))
- I need this to happen to all rows, I need All[1,2:399] to increase to
All[2:399], etc.
- But I also need the results
Can you show what is its solution for the original sample data? Why that
discrepancy for you original sub2() function?
[[alternative HTML version deleted]]
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I am trying to analyse time-series .netcdf (3D lat,long and time domain)
climate data. I want to apply the SPEI package (calculation of standardized
precipitation evapotranspiration index) on it. But unable to arrange my data
in the required data frame. As I am a beginner in R, it will be very
David has replied
But I am wondering if the lattice function make.groups is what you want.
As you seem to want extra panels.
For the 3 graphs I get the 4 same panels NC W NE S and coloured points are
added after foo but bar2 has more red points added
bar1 and bar2 have the same colour for pch
Hi,
As i need R to speak to Bloomberg (and big only runs on windows), i'm
running windows 7 via VM Fusion on my mac.
I think i am having permission problems, as i cannot use install.packages,
and cannot change .libPaths via either a .Rprofile, or Profile.site.
I've posted more detail in this
You still don't get it, do you?
First, the list is not John.
Second, and more importantly, those of us with threading mail programs (or
group by conversation in Apple-speak) can fairly easily find Johns letter if
we haven't deleted it yet. Those without threading will have to look back
Hi All,
I have quite a few files which is having HTML tabular data. All the files have
have different format, numerous nested tables and different information and the
table structure is completely different. The only common thing in these files
is that they are in tables.
I was able to read
Thanks for the info!
-
Guided Tours Basque Country
Guided tours in the three capitals of the Basque Country: Bilbao,
Vitoria-Gasteiz and San Sebastian, as well as in their provinces. Available
languages.
Travel planners for groups and design of tourist routes across the Basque
Hi Glenn,
You should be able to add toc: true as an option to the yaml meta data
block at the beginning of your vignette. If that isn't working for you you
may have to give some more detail on what exactly you are doing and how it
is failing.
Peter
On Thu, 30 Jul 2015 at 04:08 Glenn Schultz
I want to remove the rownames after incrementation. Thanks
Frederic Ntirenganya
Maseno University,
African Maths Initiative,
Kenya.
Mobile:(+254)718492836
Email: fr...@aims.ac.za
https://sites.google.com/a/aims.ac.za/fredo/
On Wed, Jul 29, 2015 at 7:04 PM, Bert Gunter bgunter.4...@gmail.com
Hello!
I have following data and I am trying to apply bootstrapping. My data and code
is as follows-
amounts =
c(829.53,4000,6000,1000,1063904,102400,22000,4000,4200,2000,1,400,459006,7276,4000,100,4000,1,613803.36,
Hi,
When the as.layer function is used to overaly 2 lattice plots, there
seems to be an assumption that the data used in both plots will generate
the same number of panels (and, I believe, in the same order). In case
the data used in the plot within the as.layer call is incomplete , data
may
I'm a bit confused what you're trying to accomplish - the mix of
annotate() and geom_text() is confusing. The following code works for
me, and I think might be what you want:
ggplot(ins, aes(td, glucose)) +
geom_point(colour = red) +
geom_line(colour = blue) +
annotate(text, x = texdat, y =
Hi John,
Certainly, that makes sense. Thank you for the clear explanation. I am
subscribed to the email list, it is how I knew you replied. A stacked bar
chart is great for managing and analyzing multi-ad placement Profit and
seeing the time series of the individual charts. Tableau makes it very
Thanks Mom!
You still don't get it, do you?
First, the list is not John.
Second, and more importantly, those of us with threading mail programs (or
group by conversation in Apple-speak) can fairly easily find Johns letter
if we haven't deleted it yet. Those without threading will have to
Hola,
Tengo una matriz ' elev.rad.mx ' que tiene tres columnas:
1 columna: coordenada x del punto geogrfico.
2 columna: coordenada y del punto geogrfico.
3 columna: valores de un radar en el punto geogrfico (x,y).
En este caso, es adecuado emplear `rasterFromXYZ` en lugar de `raster`.
Cmo
Hi Stella,
I think Sarah is correct in asking if that is what you really want,
but you can get a list similar to what you asked for like this:
sample_names-unique(sx.df$Samples)
sx.lst-list()
for(sn in 1:length(sample_names))
sx.lst[[sn]]-sx.df$counts[sx.df$Samples==sample_names[sn]]
Hi
AFAIK you can not **remove** row names from data frame. You can suppress their
printingas other adviced or you can rename row names.
lev
animals animalYears ind
1bird 1 2
2 cat 1 2
3 dog 1 2
4bird 2 2
5 cat 2
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