similar to: Development versions of xtractomatic and rerddapXtracto

?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

Changing the vapply() behavior makes sense in principle. I analyzed the CRAN code base using the R parser and found 143 instances of calling vapply with USE.NAMES=FALSE. These would need to be inspected to understand the consequences of the change. For reference: /AzureML/R/datasets.R:226 /BBmisc/R/toRangeStr.R:33 /DBI/R/DBDriver.R:205 /Kmisc/R/str_rev.R:37 /Matrix/R/diagMatrix.R:98

Hi: I am working with someone remotely to allow them access to our data. The follow command using "download.file" works perfectly on my Mac: > > download.file(url="http://oceanwatch.pfeg.noaa.gov:8081/thredds/ > wcs/satellite/AG/ssta/14day? > request=GetCoverage&version=1.0.0&service=WCS&format=NetCDF3&coverage= >

Hi: We are having some very strange problems with R on WIndows, both with R 2.4.1 and R 2.5.0. The following command: > download.file(url="http://oceanwatch.pfeg.noaa.gov:8081/thredds/wcs/ > satellite/AG/ssta/14day? > request=GetCoverage&version=1.0.0&service=WCS&format=NetCDF3&coverage= >

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 <-

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/

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(" ",

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; 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

The NOAA National Centers for Coastal Ocean Science is hiring a Computational Ecologist, a statistical/computational ecologist with experience fitting advanced spatial models to marine wildlife survey data (e.g., seabirds and marine mammal transects, fisheries trawl surveys) in R and other statistical languages. This is a full-time, long-term stable contract position. We are looking for an

Dear R Users - R is a wonderful software package. CRAN provides a variety of tools to work on your data. But R is not apt to utilize all the public databases in an efficient manner. I observed the most tedious part with R is searching and downloading the data from public databases and putting it into the right format. I could not find a package on CRAN which offers exactly this fundamental

Hi, Both vapply() and sapply() support the 'USE.NAMES' argument. According to the man page: USE.NAMES: logical; if ?TRUE? and if ?X? is character, use ?X? as ?names? for the result unless it had names already. But if 'X' has names already and 'USE.NAMES' is FALSE, it's not clear what will happen to the names. Are they going to propagate to the result

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

Hola. Hoy me he topado con esta web https://ropensci.org/ y he visto algunos paquetes interesantes (sobre todo alguno que no está en CRAN)... https://ropensci.org/packages Valgan como ejemplos los packages "rebi" o "cartographer" https://github.com/ropensci/rebi https://github.com/ropensci/cartographer Pd.- Está en inglés pero creo que es de utilidad para la lista (ahora es

Hello all, tidyhydat - https://CRAN.R-project.org/package=tidyhydat - was accepted on CRAN recently. tidyhydat is a new R package that provides functions in R to access Canadian hydrometric data sources and then tidy that data. We have tried to simplify the process of importing data so that users can focus on modelling and visualizing hydrometric data. Historical data is contained within

Hello all, tidyhydat - https://CRAN.R-project.org/package=tidyhydat - was accepted on CRAN recently. tidyhydat is a new R package that provides functions in R to access Canadian hydrometric data sources and then tidy that data. We have tried to simplify the process of importing data so that users can focus on modelling and visualizing hydrometric data. Historical data is contained within

Since 2008, Microsoft (formerly Revolution Analytics) staff and guests have written about R every weekday at the Revolutions blog (http://blog.revolutionanalytics.com) and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of October: A recent survey of

Hi Willem thanks for volounteering. To the best of my knowledge (regarding the machinery side), if you're planning to use github (and maybe even if you don't) you can "stole" ideas from https://github.com/ropensci/webservices https://github.com/lbraglia/PackageDevelopmentTaskView (minor modifications from webservices) https://github.com/eddelbuettel/ctv-finance or

I'd strongly second the notion of using github. The biggest advantage is that others can easily contribute changes through pull requests which lifts much of the burden from your shoulders. Hadley On Fri, Jan 23, 2015 at 3:49 AM, Luca Braglia <lbraglia at gmail.com> wrote: > Hi Willem > > thanks for volounteering. > > To the best of my knowledge (regarding the machinery