Is Rtools 3.4 or 3.5 the recommended version for to go along with R 3.5.0?
The reason I ask is our corporate IT upgraded our systems to R 3.5.0
but does not *want* to upgrade Rtools to 3.5 since it is not "frozen".
>From the RTools download page this seems like it should work but I 'd
like to conf
"I am working on the following part of building a neural network to try
indeed classifying some text."
... and so you are most likely trying to reinvent wheels. There are
already many such tools available here:
https://cran.r-project.org/web/views/NaturalLanguageProcessing.html
Some of these are
Thank you for both replies Don & Rui,
The very issue here is that there is a search that needs to be done within
a text field and I agree with Rui later comment that regexpr might indeed
be the time consuming piece of code.
I might try to optimise this piece of code later on, but for the time bei
Hello,
Another thing to note is that regexpr is likely to take (much) more time
than ifelse or as.integer.
And the code will therefore not be very optimizable.
Rui Barradas
On 4/30/2018 4:25 PM, MacQueen, Don wrote:
Luca,
If speed is important, you might improve performance by making d0 int
Luca,
If speed is important, you might improve performance by making d0 into a true
matrix, rather than a data frame (assuming d0 is indeed a data frame at this
point). Although data frames may look like matrices, they aren’t, and they have
some overhead that matrices don’t. I don’t think you
Hi Rui
Thank you for your suggestion,
I have tested the code suggested by you against that supplied by Don in
terms of timing and results are very much aligned: to populate a 5954x899
0/1 matrix on my machine your procedure took 79 secs, while the one with
ifelse employed 80 secs, hence unfortuna
Dear Jim and Ron,
Thank you very much. Both the solutions are very neat and working.
Appreciate all your help.
Sincerely,
Milu
On Mon, Apr 30, 2018 at 12:28 PM, Ron Crump wrote:
> Hi Miluji,
>
> Using Jim's interpretation of your desired graph,
> you could do it in ggplot2 using your dat DF b
Hi Miluji,
Using Jim's interpretation of your desired graph,
you could do it in ggplot2 using your dat DF by:
ggplot() +
geom_bar(data=dat,
aes(x=week,y=count,fill=city),stat="identity",position="dodge") +
coord_flip() +
geom_line(data=dat, aes(x=week, y=mean_tmin))
There would still need
8 matches
Mail list logo
