Many thanks to Berwin, Eric, Robert, and Jan for their input.
I had hoped it was as simple as because I typed
saveRDS("rawData", file = "rawData.rds") on the Windows side.
but that wasn't the case.
Robert Burbridge suggested:
windows (not run)
f <- file("rawData.rds", open="w")
Perhaps
which( ! duplicated( m, MARGIN=1 ) )
? (untested)
On November 7, 2018 9:20:57 PM PST, Bert Gunter wrote:
>A mess -- due to your continued use of html formatting.
>
>But something like this may do what you want (hard to tell with the
>mess):
>
>> m <- matrix(1:16,nrow=8)[rep(1:8,2),]
>>
A mess -- due to your continued use of html formatting.
But something like this may do what you want (hard to tell with the mess):
> m <- matrix(1:16,nrow=8)[rep(1:8,2),]
> m
[,1] [,2]
[1,]19
[2,]2 10
[3,]3 11
[4,]4 12
[5,]5 13
[6,]6 14
[7,]
Hi all,
I use the following example to illustrate my question. As you can see,
in matrix C some rows are repeated and I would like to find the indices of
the rows corresponding to each of the distinct rows.
For example, for the row c(1,9), I have used the "which" function to
identify the row
Hola a Tod@s,
Solo comentar a quien le pueda interesar que habrá un Hackathon en
Barcelona el 1 y 2 Diciembre!
Saludos,
Marco
There are other functions where R handles a vector argument differently. The
first value may be silently used, used with a warning, or trigger an error.
> x <- 1:3
> x:9
[1] 1 2 3 4 5 6 7 8 9
Warning message:
In x:9 : numerical expression has 3 elements: only the first used
> seq(x, 9)
Error in
I have no opinion on your queries, but whatever is done, it should be
properly documented, which appears not to be the case presently afaics.
-- Bert
On Wed, Nov 7, 2018 at 12:33 PM Rolf Turner wrote:
>
> In the course of writing a bit of somewhat convoluted code I recently
> made a silly
In the course of writing a bit of somewhat convoluted code I recently
made a silly error that revealed the following phenomenon:
m <- matrix(1:10,nrow=2,ncol=c(5,4))
produces
[,1] [,2] [,3] [,4] [,5]
[1,]13579
[2,]2468 10
That is, the nonsense
This is highly problem dependent... and you appear to already know the answer.
Note that some differential evolution solution approaches may benefit from
parallelizing evaluation of generations since within that sub-problem the
optimization dependencies don't apply.
A theoretical discussion
More of a general query, but looking to see if others have successfully used
something like the foreach package (or other parallel style functions) with
certain functions that minimize likelihood or objective functions (e.g.,
optim/nlminb).
I have had great success with embarrassingly parallel
Patrick,
I cannot reproduce this behaviour. I'm using:
Windows 8.1; R 3.5.1; RStudio 1.1.463
running in a VirtualBox on Ubuntu 18.04 with R 3.4.4; RStudio 1.1.456
The file size of rawData.rds is always 88 bytes in my example and od
gives the same results on Windows and Linux.
I am using a
Are you sure you didn't do saveRDS("rawData", file = "rawData.rds")
instead of saveRDS(rawData, file = "rawData.rds") ? This would explain
the result you have under linux.
In principle saveRDS and readRDS can be used to copy objects between
R-sessions without loosing information.
What
If the file sizes are the same, then presumably both contain the binary data.
From the serialize function help:
"As almost all systems in current use are little-endian, xdr = FALSE can be used to
avoid byte-shuffling at both ends when transferring data from one little-endian machine
to
Your understanding is correct. It works fine for me.
On Wed, Nov 7, 2018 at 10:48 AM Patrick Connolly
wrote:
> On Wed, 07-Nov-2018 at 08:27AM +, Robert David Burbidge wrote:
>
> |> Hi Patrick,
> |>
> |> From the help: "save writes a single line header (typically
> |> "RDXs\n") before the
On Wed, 07-Nov-2018 at 08:27AM +, Robert David Burbidge wrote:
|> Hi Patrick,
|>
|> From the help: "save writes a single line header (typically
|> "RDXs\n") before the serialization of a single object".
|>
|> If the file sizes are the same (see Eric's message), then the
|> problem may be
They're both about 3kb.
On 7/11/18 9:13 PM, Eric Berger wrote:
> What do you see at the OS level?
> i.e. on windows
> DIR rawData.rds
> on linux
> ls -l rawData.rds
> compare the file sizes on both.
>
>
> On Wed, Nov 7, 2018 at 9:56 AM Patrick Connolly
> mailto:p_conno...@slingshot.co.nz>>
Hi Patrick,
From the help: "save writes a single line header (typically "RDXs\n")
before the serialization of a single object".
If the file sizes are the same (see Eric's message), then the problem
may be due to different line terminators. Try serialize and unserialize
for low-level control
What do you see at the OS level?
i.e. on windows
DIR rawData.rds
on linux
ls -l rawData.rds
compare the file sizes on both.
On Wed, Nov 7, 2018 at 9:56 AM Patrick Connolly
wrote:
> From a Windows R session, I do
>
> > object.size(rawData)
> 31736 bytes # from scraping a non-reproducible web
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