search for: rivers

Hi, If I used drop1 in a weighted lm fit, it seems to ignore the weights in the AIC calculation of the dropped terms, see the example below. Can this be right? Yan -------------------- library(car) > unweighted.model <- lm(trSex ~ (river+length +depth)^2- length:depth, dno2) > Anova(unweighted.model) Anova Table (Type II tests) Response: trSex Sum Sq Df F value

Hi, I'm using the "ncdf" library for creating ncdf files. But I need to create about 100 variables per file (e.g. single rivers), So I do not like to create each variable separately. Unfortunately I found no way to make this work, as I'm unable to create a correct list of class "var.ncdf". ###code piece river=list(mode='var.ncdf', length=nriv) #class(river)="var.ncdf" for ( iriv in 1:nriv)...

This is what I would like to do and it works just fine. Is there a way to shorten this code so I don't have to subset a subset of a subset? d<-subset(subset(subset(subset(x, River.Mile<=202), River.Mile>3), Lagrangian=="Yes"), EventType=="Regular") Stephen -- Let's not spend our time and resources thinking about things that are so little or so large that

Dear R-user community, I need to solve a problem related to river management. The task is to calculate the distance from specified points in a river to the outlet of the river. The river is defined by a database (here called "M"): LinkID |NodeID1 | NodeID2 |Distout |Length ---------------------------------------------------------------------------- 10 |100 |200

Dear R users, I face to a nested pattern and despite the numerous examples in the help I am still confused. I sampled bugs in different habitats within sites which were within rivers themselves within different regions. The habitat correspond to different substrata (not systematically present in all sites). For rivers and sites, I have environemental variables (e.g. altitude and slope of the site, drainage area and geology of the river) and I have only 2 regions. Note that...

I would like to do the following in ggplot: what am I missing? River.Mile <-c(202, 198, 190, 185, 179, 148, 119, 61) TSS <- c(1:8) DOC <- seq(2, by= 0.6, length.out=8) z <- data.frame(River.Mile, TSS, DOC) xyplot(TSS+DOC~River.Mile, data=z, auto.key=TRUE) thanks -- Stephen Sefick Research Scientist Southeastern Natural Sciences Academy Let's not spend our time and resources

I'd be interested in using this but I have to wait until someone ports this to firefox (or at least chromium). Thanks for sharing it though! On 3/31/20 2:16 PM, River Riddle via llvm-dev wrote: > For those interested I've uploaded to the chrome store to make installs > easier. An install link is now included on the repo. > > -- River > > On Mon, Mar 30, 2020, 1:44 PM

I'd like to use native moh instead of with mpg123... for some reason the processes never bloody die. For native moh to not spawn an external player, I'd need to convert the default supplied moh sound files in /var/lib/asterisk/mohmp3 to ulaw and g729 format. Anyone know of a free, easy way to convert them? Thanks, Doug.

I would like to be able to do the xyplot in ggplot below. I read in the archive that Hadley was working on this for the next release, and I can not find the documentation (Aug. 23rd). River.Mile <- c(215 ,202, 198, 190, 185, 179, 148, 119, 61) Cu <- rnorm(9) Fe <- rnorm(9) Mg <- rnorm(9) Ti <- rnorm(9) Ir <- rnorm(9) r <- data.frame(River.Mile, Cu, Fe, Mg, Ti, Ir) z <-

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 hi, i''m trying to use the nfsv3 provider on S10U6, with the following simple script: #! /usr/sbin/dtrace -s #pragma D option quiet nfsv3:::op-read-start { printf("%s\n", args[1]->noi_curpath); } however, when running it, i get the following error: dtrace: failed to compile script ./nfs2.d: line 5: failed to grab

Hi, I have some hydrochemical data from observation stations of a river network. The data set provides information about the river hierarchy, i.e. the order of the rivers (main river is 1st order, contributing is 2nd order, and contributing to 2nd is 3rd order... etc). Now I would like to use the hierarchical information to: a) plot a dendrogram of the observation stations b) perform some simple statistics on the different branches What packages are needed to cond...

Dear Colleagues, I am attempting to develop an optimization routine for a river suspended sediment mixing model. I have Calcium and Magnesium concentrations (%) for sediments from 4 potential source areas (Topsoil, Channel Banks, Roads, Drains) and I want to work out, based on the suspended sediment calcium and magnesium concentrations, what are the optimal contributions from each source area to

Hi, I have the following problem: I have a data.frame with 36 sample sites (colums) for which I have covariates in 3 categories: Area, Month and River. Each Area consists of 3 rivers, which were sampled over 3 month. Now I want to fuse River 1-3 for one area in one month. To get a data.frame with 12 colums. I am trying to do a "for loop" (which may be a complicated solution, but I don't see an easier way), which is not working, apparently because a[,ij] or a[,c(i...

2017-07-24 16:14 GMT-07:00 Quentin Colombet via llvm-dev < llvm-dev at lists.llvm.org>: > Hi River, > > On Jul 24, 2017, at 2:36 PM, River Riddle <riddleriver at gmail.com> wrote: > > Hi Quentin, > I appreciate the feedback. When I reference the cost of Target Hooks it's > mainly for maintainability and cost on a target author. We want to keep the >

On Mon, Jul 24, 2017 at 4:14 PM, Quentin Colombet via llvm-dev < llvm-dev at lists.llvm.org> wrote: > Hi River, > > On Jul 24, 2017, at 2:36 PM, River Riddle <riddleriver at gmail.com> wrote: > > Hi Quentin, > I appreciate the feedback. When I reference the cost of Target Hooks it's > mainly for maintainability and cost on a target author. We want to keep the

Hello everyone, This is Matt Ashland, a developer for J. River, the makers of the popular freeware program Media Jukebox. (some of you may know me better as the author Monkey's Audio). Our development team here at J. River is quite interested in helping with the development of Ogg Vorbis. The licensing restrictions of other formats (namely mp3) are becoming somewhat problematic for us,

> On Jul 25, 2017, at 9:24 AM, Jessica Paquette <jpaquette at apple.com> wrote: > >> The two passes are pretty different in their approaches to congruency finding, so I don't think it helps to group them as though they were interchangeable "outliner technology". The two passes might be totally orthogonal. > > I think that based off how River described his

Hi all, Recently I've had some extra time on my hands, so I spent part of the weekend coding up a simple chrome extension to monitor the status of code reviews on the LLVM phabricator instance. This extension is inspired by some other review monitoring tools that I've used in the past. It allows for monitoring revisions that a user needs to review, revisions by the user that need to be

hi all, I often have a data frame like this example data.frame(sq=c(1,1,1,2,2,3,3,3,3),area=c(1,2,3,1,2,3,1,2,3),habitat=c("garden","garden","pond","field","garden","river","garden","field","field")) for each "sq" I have multiple "habitat"s each with an associated "area". I

Hi Quentin, I appreciate the feedback. When I reference the cost of Target Hooks it's mainly for maintainability and cost on a target author. We want to keep the intrusion into target information minimized. The heuristics used for the outliner are the same used by any other IR level pass seeking target information, i.e TTI for the most part. I can see where you are coming from with