Às 23:06 de 25/07/2023, Bob Green escreveu:
Hello,
I am seeking advice as to how I can download the 833 files from this
site:"http://home.brisnet.org.au/~bgreen/Data/;
I want to be able to download them to perform a textual analysis.
If the 833 files, which are in a Directory with two
Colleagues,
Here is my reproducible code.
library(plotly)
t <- list(
family = "Arial",
size = 12,
color = "black",
face="bold")
t3 <- list(
family = "Arial",
size = 12,
color = "black",
face="bold")
t5 <- list(
family = "Arial",
size = 12,
color = "black",
face="bold")
You cannot read files using name patterns. You can use list.files with patterns
on your local filesystems, and you can use RCurl or httr contributed packages
to parse out the web listing of files returned by the web server. See the
example in ?RCurl. Then you can download the individual files
Hi Kostas,
The function vectorField in the plotrix package may do what you want.
See the example.
Jim
On Tue, Jul 25, 2023 at 9:30 PM konstantinos christodoulou
wrote:
>
> Dear Rcommunity,
>
> I hope this email finds you well. I am writing to seek your assistance with
> a data visualization
Where is readtext() from?
Some combination of scraping
http://home.brisnet.org.au/~bgreen/Data/Hanson1/
and
http://home.brisnet.org.au/~bgreen/Data/Hanson2/
to recover the required file names:
library(rvest)
read_html("http://home.brisnet.org.au/~bgreen/Data/Hanson1/;) |>
Hi Bob,
there may be more efficient ways to go about it but I would use R to scrape the
contents of
http://home.brisnet.org.au/~bgreen/Data/Hanson1/
http://home.brisnet.org.au/~bgreen/Data/Hanson2/
in order to form the URLs of the files, and then loop over the URLs.
Cheers,
Andrew
--
Andrew
Hello,
I am seeking advice as to how I can download the 833 files from this
site:"http://home.brisnet.org.au/~bgreen/Data/;
I want to be able to download them to perform a textual analysis.
If the 833 files, which are in a Directory with two subfolders were
on my computer I could read them
Not sure if correct but Chatgpt answer is:
Here are some popular R packages for sea current vectors:
oce: The "oce" package provides a wide range of functions for oceanographic
data analysis, including handling sea current data. It allows you to work with
current data in various formats and
Dear Rcommunity,
I hope this email finds you well. I am writing to seek your assistance with
a data visualization problem I am facing while working with R.
Problem Description:
I have a dataframe named "df" containing the following columns:
"longitude", "latitude", "sea_currents_mag", and
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