similar to: rerddap v1.2.0

?s 23:47 de 31/01/2024, Roy Mendelssohn - NOAA Federal via R-help escreveu: > HI All: > > We are trying to figure out a problem that is occurring with a package, and we need a non-NOAA person with a Windows computer with the latest R to test for us what is failing (but works on Macs and Linux from different sites). Part of the problem is there is an Akamai service in between that we

HI All: We are trying to figure out a problem that is occurring with a package, and we need a non-NOAA person with a Windows computer with the latest R to test for us what is failing (but works on Macs and Linux from different sites). Part of the problem is there is an Akamai service in between that we feel may be messing up things. To do this you would need to be willing to: 1. install the

If you are a user of the R package "xtractomatic", I have a new development version available, as well as a test version of the package "rerddapXtracto". The biggest changes are functions that can take the output of any of the data download functions and quickly map the data. These functions use the package "plotdap". Also, a lot of the code in the development

> > > > <https://goosocean.us15.list-manage.com/track/click?u=75c69bf185fb2be069850f6ee&id=fd7c35981e&e=3b244e9fac> > > Note | June 2024 > > > > > Webinar announcement > > How to access ERDDAP data using R > > > > > 20 June 2024 | 18:00 CEST > See what time it is for you

Ahoy! That's a message generated by the readr::read_table() function (or it's friends). You can suppress it a number of ways, but this should work as httr::content() will pass through arguments, like col_types = cols(), to the file reader. junk <- httr::content(r1, col_types = cols()) See more here... https://blog.rstudio.com/2016/08/05/readr-1-0-0/

Thanks to all that replied. I had just looked through the httr code and sure enough for a .csv mime time it calls readr::read_csv(). The httr::content docs suggest not using automatic parsing in a package, rather to determine mime type and parse yourself and Ben's suggestion also works if I do: junk <- readr::read_csv(r1$content, col_types = cols()) Perfect. Using httr rather than

Hi All: I am using httr to download files form a service, in this case a .csv file. When I use httr::content on the result, I get a message. Since this will be in a package. I want to suppress the message, but haven't figured out how to do so. The following should reproduce the result: myURL <-

Has anyone written a script or function to read data from NODC?s World Ocean Database files? (I know there are simple Fortran and C programs to read these files, but the output is not suitable for easy analysis) Thanks, Franz _____________________________________________________ Dr. Franz J. Mueter School of Fisheries and Ocean Sciences, Juneau Center University of Alaska Fairbanks 11120

withr:::set_makevars() can give that error if the makefile named by the 'old_path' argument (default "~/.R/Makevars) contains more than one definition of a variable of the form 'name=value'. You can see what file it is reading and its contents by using the trace() function: trace(withr:::set_makevars, quote({ cat(old_path, "\n"); writeLines(paste0(" ",

Hi Cluster Community, we are seeing some problems when adding multiple terrabytes of data to a 2 node replicated GlusterFS installation. The version is 3.8.11 on CentOS 7. The machines are connected via 10Gbit LAN and are running 24/7. The OS is virtualized on VMWare. After a restart of node-1 we see that the log files are growing to multiple Gigabytes a day. Also there seem to be problems

Hi All; This problem has come about from trying to learn some of the review practices recommend by rOpensci. One of them is to use the package goodpractice. After installing goodpractice, it kept failing on my own packages which are under development, and I was concerned something was funny in my own , so I have a fork of the package rerddap, and I tested goodpractice on that. I get the

This is strange, a couple of questions: 1. What volume type is this? What tuning have you done? gluster v info output would be helpful here. 2. How big are your bricks? 3. Can you write me a quick reproducer so I can try this in the lab? Is it just a single multi TB file you are untarring or many? If you give me the steps to repro, and I hit it, we can get a bug open. 4. Other than

Hi Cluster Community, we are seeing some problems when adding multiple terrabytes of data to a 2 node replicated GlusterFS installation. The version is 3.8.11 on CentOS 7. The machines are connected via 10Gbit LAN and are running 24/7. The OS is virtualized on VMWare. After a restart of node-1 we see that the log files are growing to multiple Gigabytes a day. Also there seem to be problems

I re-added gluster-users to get some more eye on this. ----- Original Message ----- > From: "Christoph Sch?bel" <christoph.schaebel at dc-square.de> > To: "Ben Turner" <bturner at redhat.com> > Sent: Wednesday, August 30, 2017 8:18:31 AM > Subject: Re: [Gluster-users] GFID attir is missing after adding large amounts of data > > Hello Ben, >

Hola Carlos. spark_read_parquet es de sparklyr y necesita un sparkcontext inicializado para leer el fichero de parquet. El mié., 4 oct. 2017 22:11, Carlos Ortega <cof en qualityexcellence.es> escribió: > Hola José Luis, > > ¿Has probado directamente con "dplyr"?... > > spark_read_parquet >

Buenas a todos. Ya sé que con sparkR o sparklyr puedo leer fácilmente ficheros con formato parquet, pero ¿hay alguna forma de leerlos sin tener que arrancar spark? Mi situación es que tengo unos ficheros en formato parquet en s3 y quiero leerlos desde una instancia pequeñita de amazon EC2 que quiero mantener sin instalarle spark. Estoy bicheando la librería https://github.com/cloudyr/aws.s3 y va

The min_height = -0.25 is there to make it show cycle values down to -1/4. You may want to change it to -1 so it shows more of the cycle values. Bill Dunlap TIBCO Software wdunlap tibco.com On Tue, Oct 17, 2017 at 1:26 PM, Roy Mendelssohn - NOAA Federal < roy.mendelssohn at noaa.gov> wrote: > yes, thanks, and I was getting close to that. One thing I found is the > manual says the

Thanks again. I am going to try the different versions. But I probably won't be able to get to it till next week. This is probably at the point where anything further should be sent to me privately. -Roy > On Jun 1, 2017, at 1:56 PM, David L Carlson <dcarlson at tamu.edu> wrote: > > On the off chance that anyone is still interested, here is the corrected function using

On the off chance that anyone is still interested, here is the corrected function using aperm(): z <- array(1:120,dim=2:5) f2 <- function(a, wh) { idx <- seq_len(length(dim(a))) dims <- setdiff(idx, wh) idx <- append(idx[-1], idx[1], wh-1) aperm(apply(a, dims, rev), idx) } all.equal(f(z, 1), f2(z, 1)) # [1] TRUE all.equal(f(z, 2), f2(z, 2)) # [1] TRUE

Does the following work for you? ggplot2::ggplot(plotFrame, aes(x = time, y = depth, height = cycle, group = depth)) + ggridges::geom_ridgeline(fill="red", min_height=-0.25) Bill Dunlap TIBCO Software wdunlap tibco.com On Tue, Oct 17, 2017 at 12:43 PM, Roy Mendelssohn - NOAA Federal < roy.mendelssohn at noaa.gov> wrote: > I have tried: > > ggplot(plotFrame, aes(x =