search for: usge

http://waterdata.usgs.gov/nwis/uv?format=rdb&period=7&site_no=021973269 I would like to be able to parse this file up: I can do this x <- read.table("http://waterdata.usgs.gov/nwis/uv?format=rdb&period=7&site_no=021973269", skip=26) but If I add another gauge to this x <-

note: whole function is below- I am sure I am doing something silly. when I use it like USGS(input="precipitation") it is choking on the precip.1 <- subset(DF, precipitation!="NA") b <- ddply(precip.1$precipitation, .(precip.1$gauge_name), cumsum) DF.precip <- precip.1 DF.precip$precipitation <- b$.data part, but runs fine outside of the function: days=7

Hi all, I have attached the function file (revisedfunction) and the list of station IDs (StationIDs) in .pdf format. I have written a function to perform various operations on the station IDs in two groups. The first 6 station IDs require one less step than the remaining 68 station IDs. The file referenced at the beginning of the function is the file containing the StationIDs. > file =

Look at the bottom of the message for my question #here is a little function that I wrote USGS <- function(input="discharge", days=7){ library(chron) library(gsubfn) #021973269 is the Waynesboro Gauge on the Savannah River Proper (SRS) #02102908 is the Flat Creek Gauge (ftbrfcms) #02133500 is the Drowning Creek (ftbrbmcm) #02341800 is the Upatoi Creek Near Columbus (ftbn) #02342500 is

My IMAP client hangs intermittently. When it does, Dovecot has prematurely stopped sending a response and entered the poll loop. My client is waiting for more data and Dovecot is waiting for an IMAP command. This problem seems to occur when I connect to the dovecot process over the network and when I run the imap binary directly via an SSH tunnel. Below is truss output from the imap process

On 12/01/2018 1:25 PM, Karim Mezhoud wrote: > Yes, > You are right. I mean > install.packages('DVstats'). That won't work either, because DVstats is not on CRAN. > Actually, it seems that DVstats does not have maintainer > https://github.com/USGS-R/DVstats You can try install.packages("devtools") # if not already installed...

I don't even know if this is the right place to ask this question. I would like to download USGS stream gauging data for a couple of gauges on a daily basis- save the files to .csv files and append the nest days time series to this. Is there a way to do this automatically in R? thanks, -- Stephen Sefick Let's not spend our time and resources thinking about things that are so little or

Samba Team, We are trying to determine if the Samba version 2.2.8 will allow for NTLM V2 authentication. Could you please update me on what version of Samba allow for NTLM V2. Thank you in advance. Sam Martinez (303 236-1834) U.S. Geological Survey

Yes, You are right. I mean install.packages('DVstats'). Actually, it seems that DVstats does not have maintainer https://github.com/USGS-R/DVstats Karim On Fri, Jan 12, 2018 at 7:20 PM, Duncan Murdoch <murdoch.duncan at gmail.com> wrote: > On 12/01/2018 1:11 PM, Karim Mezhoud wrote: > >> Hi, >> Did you try install.packages('stats'). >> > > That

Free Introductory R Course Taught Over the Web The course is designed for natural resource managers and is open to all who are interested without charge. Audio of the presentations is available either using your computer speakers and optional microphone or headset or by calling a phone bridge long distance. Live video of the presenter's computer screen is available over the web. You can

Hi, I hope someone knows the answer to this or has a real good reference about it (I am using Legendre & Legendre, Numerical Ecology, 1998).... My data is a data.frame with locations as rows and vegetation assemblages / species as columns. I've done a PCA, a correspondance analysis (CA) using ca in ca package and a detrended correspondance analysis (DCA) using decorana from vegan package.

I can not answer this (message only to me). Certainly, some of you do.. Martin ------- Date: Wed, 18 Nov 1998 13:22:47 -0500 (EST) From: "J. Andy Royle" <jar@oriole.er.usgs.gov> To: Martin Maechler <maechler@stat.math.ethz.ch> Subject: Re: [R] loading fortran with Redhat 5.1 In-Reply-To: <199811181812.TAA26068@sophie.ethz.ch> Hi Martin, The reason I was

Hi R users, I'm trying to install the package, but got the error and don't know how to fix it. Can anyone help me? Thanks very much. install.packages("smwrGraphs", repos=c("http://owi.usgs.gov/R"," http://cran.us.r-project.org"), dependencies = TRUE) Error in install.packages : Line starting '<html> ...' is malformed! [[alternative HTML

Just noticed that I get a similar error about object 'kronecker' in "Matrix" package when trying to load "lme4". So this is a more pervasive problem. Brian Brian S. Cade, PhD U. S. Geological Survey Fort Collins Science Center 2150 Centre Ave., Bldg. C Fort Collins, CO 80526-8818 email: brian_cade@usgs.gov tel: 970 226-9326 ----- Forwarded by Brian S

I think I must be missing something obvious, but I'm having trouble getting a data transformation to work on groupings of data within a data frame (csss3) as defined by 2 factors (population, locid). The data are sorted by year within locid within population and I want to lag another variable (dbc), i.e, shift them down by 1 row replacing the first row with NA, within groups defined by

On 23.07.2017 05:28, lily li wrote: > Hi R users, > > I'm trying to install the package, but got the error and don't know how to > fix it. Can anyone help me? Thanks very much. > > install.packages("smwrGraphs", repos=c("http://owi.usgs.gov/R"," I guess "http://owi.usgs.gov/R" does not provide standard repositories for R? Best, Uwe

I am trying to implement an ANOVA on a pair of quantile regression models in R. The anova.rq() function performs a basic check to see whether the models are nested, but I think this check is failing in my case. I think my models are nested despite the anova.rqlist() function saying otherwise. Here is an example where the GLM ANOVA regards the models as nested, but the quantile regression ANOVA

I am helping a student with some logistic regression analyses and we are getting some strange inconsistencies regarding a warning about factor levels being dropped when running predict.glm(, newdata = ournewdata) on the logistic regression model object. We have checked multiple times that the factor levels have been defined similarly on both data sets (one used to estimate model and the newdata)

I've written a fairly elaborate package (called "eoa") that relies on functions from several other packages. I've built the package into a zip file on Windows using Hadley's devtools::build(binary = T) and have sent the zip to a couple dozen people for testing. My package installs fine, but some people are having trouble loading it. After library(eoa), they get something

I've written a fairly elaborate package (called "eoa") that relies on functions from several other packages. I've built the package into a zip file on Windows using Hadley's devtools::build(binary = T) and have sent the zip to a couple dozen people for testing. My package installs fine, but some people are having trouble loading it. After library(eoa), they get something