Never mind. Working with the arules package notes I was able to figure it
out
rules <- apriori(fp.trans,
parameter = list(supp = 0.1, conf = 0.2, target = "rules"),
appearance = list(rhs="Sugar", default="lhs"),
control = list(verbose=F))
r-help Forum
I'm using the following code to sort the "right-hand side (rhs, consequent)
of the rules output from the arules packages, which works. But what I'd
really like is the ability to subset my rules where the rhs = "some item
set"
rules_info <-
data.frame(
LHS =
"... I learned to say "try it and see" in many different ways. "
Version 2: *Never* parallelize your computations except when you
should.
;-)
-- Bert
On Sun, Sep 23, 2018 at 1:20 PM Duncan Murdoch
wrote:
> On 23/09/2018 4:00 PM, Wensui Liu wrote:
> > Very insightful. Thanks, Duncan
>
Thank you Bert and Rui. Everything mentioned on your posts was OK with
the exception of a typo in my original post where [a] was instead
[[a]]. I stumbled one something that stated if i delete the
sub-directory and create it it again might work. In my case once that
was done, it worked.
Thanks
On 23/09/2018 4:00 PM, Wensui Liu wrote:
Very insightful. Thanks, Duncan
Based on your opinion, is there any benefit to use the parallelism in
the corporate computing environment where the size of data is far more
than million rows and there are multiple cores in the server.
I would say
Very insightful. Thanks, Duncan
Based on your opinion, is there any benefit to use the parallelism in the
corporate computing environment where the size of data is far more than
million rows and there are multiple cores in the server.
Actually the practice of going concurrency or not is more
On Sun, 23 Sep 2018, Duncan Murdoch wrote:
On 23/09/2018 3:31 PM, Jeff Newmiller wrote:
[lots of good stuff deleted]
Vectorize is
syntactic sugar with a performance penalty.
[More deletions.]
I would say Vectorize isn't just "syntactic sugar". When I use that term, I
mean something that
On 23/09/2018 3:31 PM, Jeff Newmiller wrote:
[lots of good stuff deleted]
Vectorize is
syntactic sugar with a performance penalty.
[More deletions.]
I would say Vectorize isn't just "syntactic sugar". When I use that
term, I mean something that looks nice but is functionally equivalent.
On Sun, 23 Sep 2018, Wensui Liu wrote:
what you measures is the "elapsed" time in the default setting. you
might need to take a closer look at the beautiful benchmark() function
and see what time I am talking about.
When I am waiting for the answer, elapsed time is what matters to me.
Also,
On Sun, Sep 23, 2018 at 2:26 PM Wensui Liu wrote:
>
> what you measures is the "elapsed" time in the default setting. you
> might need to take a closer look at the beautiful benchmark() function
> and see what time I am talking about.
I'm pretty sure you do not know what you are talking about.
Below...
On Sun, 23 Sep 2018, Sorkin, John wrote:
At the risk of asking something fundamental . . . .
does log(c1[-1]/c1[-len]
You dropped the closing parenthesis.
log( c1[-1] / c1[-len] )
do the following
(1) use all elements of c and perform the calculation
No. a) "c" is the base
On 23/09/2018 2:36 PM, Sorkin, John wrote:
At the risk of asking something fundamental . . . .
does log(c1[-1]/c1[-len]
do the following
(1) use all elements of c and perform the calculation
(2) delete the first element of c and perform the calculation,
(2) delete the first two elements of
At the risk of asking something fundamental . . . .
does log(c1[-1]/c1[-len]
do the following
(1) use all elements of c and perform the calculation
(2) delete the first element of c and perform the calculation,
(2) delete the first two elements of c and perform the calculation,
. . .
(n)
what you measures is the "elapsed" time in the default setting. you
might need to take a closer look at the beautiful benchmark() function
and see what time I am talking about.
I just provided tentative solution for the person asking for it and
believe he has enough wisdom to decide what's best.
On Sun, Sep 23, 2018 at 1:46 PM Wensui Liu wrote:
>
> actually, by the parallel pvec, the user time is a lot shorter. or did
> I somewhere miss your invaluable insight?
>
> > c1 <- 1:100
> > len <- length(c1)
> > rbenchmark::benchmark(log(c1[-1]/c1[-len]), replications = 100)
>
actually, by the parallel pvec, the user time is a lot shorter. or did
I somewhere miss your invaluable insight?
> c1 <- 1:100
> len <- length(c1)
> rbenchmark::benchmark(log(c1[-1]/c1[-len]), replications = 100)
test replications elapsed relative user.self sys.self
1
On Sun, Sep 23, 2018 at 10:09 AM Wensui Liu wrote:
>
> Why?
The operations required for this algorithm are vectorized, as are most
operations in R. There is no need to iterate through each element.
Using Vectorize to achieve the iteration is no better than using
*apply or a for-loop, and betrays
On 9/22/2018 6:49 AM, Andrew wrote:
Hi Michael
This looks like it could be really helpful in moving my project forwards
thank you.
I remember many years ago using (proprietary) software from the
University of Liverpool which did a nice job of allowing regions to be
defined, and then for
On Sat, Sep 22, 2018 at 9:20 AM Jeremie Juste via ESS-help
wrote:
>
>
> Hello,
>
> Have a look at the variable inferior-R-args. (C-h v
> inferior-R-args). You can customize it to include --no-save.
> in principle putting (setq inferior-R-args "--no-save") in your .emacs
> file should do it.
Yes,
On Sat, Sep 22, 2018 at 9:06 PM Wensui Liu wrote:
>
> or this one:
>
> (Vectorize(function(i) log(c1[i + 1] / c1[i])) (1:len))
Oh dear god no.
>
> On Sat, Sep 22, 2018 at 4:16 PM rsherry8 wrote:
> >
> >
> > It is my impression that good R programmers make very little use of the
> > for
Hi Kevin,
I did something along these lines using shiny and I had a good experience
with it.
You would require a server (virtual or physical) to run the shiny-server
program.
This approach is particularly suitable if your target users do not know (or
use) R.
If you go down this route I also
Hello,
I would add that it's probably better to assign
for(i in seq_along(file.names)){
A[[i]] <- extract_tables(file.names[i])
}
(It's a list so double [[, not just [).
Hope this helps,
Rui Barradas
Às 01:45 de 23/09/2018, Bert Gunter escreveu:
for(i in 1:length(file.names)){
A[i]
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