similar to: Linear Modeling the best alternative

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

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

Rers: I have some ecological data (stream velocity vs. % cover of submerged weeds) that shows strong evidence of a thresholding step-function, e.g. below some velocity, % cover ranges from 0% to 100% (with no apparent relationship to velocity within this range of velocities), but above a certain "threshold" velocity, the % cover does not appear to exceed, say, 10%. There are good

Hello. I've just started using R and am trying to figure out if the two codes snippets below have the same output gBest<-floor(runif(popsize,min=1,max=top)) velocity[i,j]<<-.4* velocity[i,j] + 1 * runif(1) * (pbestsVar[i,j] - popVar[i,j]) + 1 * runif(1) * (archiveVar[gBest,j] - popVar[i,j]) and for (i in 1:popsize) { for (j in 1:maxvar) { gBest<-sample(top,size=1)

Hello, does anyone knows this predict is not resulting? # lm predict dfTestes3sitesCriptic$Velocity_corrected <- ifelse (dfTestes3sitesCriptic$Season == "A" & dfTestes3sitesCriptic$BeforeAfter == "Before", (dfTestes3sitesCriptic$Velocity * mVel3ABefAfter), (ifelse (dfTestes3sitesCriptic$Season == "Sp" & dfTestes3sitesCriptic$BeforeAfter ==

I have constructed a Trellis style xyplot. lengthf <- factor(length) xyplot(SLI$velocity ~ SLI$width | SLI$lengthf, layout = c(2,7), xlab = "Width (cm)", ylab = "Velocity (m/s^2)", col = "black") This produces a lovely little plot. However, the grouping factor(lengthf) isn't in the right order. My values range from 2-28 and the 2 graph on the bottom left and

Hi, i have this file pressure,k,eps,zeta,f,velocity:0,velocity:1,velocity:2,vtkValidPointMask,Point Coordinates:0,Point Coordinates:1,Point Coordinates:2,vtkOriginalIndices 0.150545,0.000575811,0.0231277,0.000339049,-0.0193008,0.00318629,-6.24066e-07,5.39599e-05,^A,7,0,0,0 0.150546,0.000782719,0.0226157,0.000497957,-0.0192084,0.00367781,5.09813e-06,5.90689e-05,^A,7,0.0003035,0.000225,1

Dear all, I have the following output generated by linear regression. Since there is only one regression intercept and one slope for one set of data, what is the meaning of std. error for intercept and that of slope? Thanks in advance. Sincerely, Minghua > data(thuesen) > attach(thuesen) > lm(short.velocity~blood.glucose) Call: lm(formula = short.velocity ~ blood.glucose)

Dear helpers I have two data sets saved as vectors (temperature and velocity). Now I need to "take out" a span of temperature and its corresponding velocity in the other vector. How can I achieve that? I tried to write a function,which takes a vector entry and then decides wether to delete the temperature entry or not and simultaneously doing so with same entry in the velocity

i have the following constructed and running very well,, thanks to Gabor Grothendieck for his help. >data.info <- c("station.id", "year", "date", "max.discharge") > > for(i in 1:num.files) { + station.id <- substring(data[i], 1,8) + DF <- read.table(data[i], sep=",", blank.lines.skip = TRUE) + z <- zoo(DF[,4],

Dear All, I am getting some data from fluid dynamics simulations (air mixing in a pipe, 2D axial symmetry, geometry described by a radial coordinate r and an axial coordinate z) which I'd like to plot and analyze with R. Think about slicing the cylinder along its axial direction to get a set of cross sections which are orthogonal to the z axis. For each section, I have a set of velocity

Hello, We are having some strange issues with RODBC related to integer columns. Whenever we do a sql query the data in a integer column is 150 actual data points then 150 0's then 150 actual data points then 150 0's. However, our database actually has numbers where the 0's are filled in. Furthermore, other datatypes do not have this problem: double and varchar are correct and do not

Hi, Try this: el<- read.csv("el.csv",header=TRUE,sep="\t",stringsAsFactors=FALSE) ?elsplit<- split(el,el$st) ? datetrial<-data.frame(date1=seq.Date(as.Date("1930.1.1",format="%Y.%m.%d"),as.Date("2010.12.31",format="%Y.%m.%d"),by="day")) elsplit1<- lapply(elsplit,function(x)

hi everyone! hope you can help me here. i am a new R user. what i am trying to do is to find the maximum annual discharge from a daily record. i have a data.frame which includes date and the discharge. somewhat like this.. 10/1/1989 2410 10/2/1989 2460 10/3/1989 2890 ... ... ... 12/31/2005 5730 i have been browsing through the archives and fount out about the aggregate

I am trying to get m"dot"s^-1 in a x-axis label for a publication ready graph. I can get ms^-1 with no problem, but I can't get the symbol for the "dot" to work. I am have tried the following: plot(x,y,xlab=expression(paste("Target Velocity (",ms^-1,")")),ylab="Passage Probability",ylim=c(0,1)) which works fine. I tried changing to:

Hi, I read in csv files with the following code: res <- vector(mode="list",length=3) for(i in 1: length(res)) res[[i]]<-read.csv(file=paste("/Users/markaltaweel/Desktop/Output/HydroDataOutput",i,".csv",sep=""),header=T,sep=",") This allows me to load the data into an array of length 3, with the res array containing my data from the csv

Hi Y'all, I am using the text mining package (tm). I am trying to filter out all of the words in a Term Document Matrix that are not in a list of words that I am interested in. I am using the following code: z<-tm_intersect(txt.dtm, c("communications", "safety", "climate", "blood", "surface", "cleanliness",

Dear R Users, I've never used R before and my professor has asked us to do some pretty intense programming (or it's intense to me at least). Here is the question: Modify the function myquadrature inside the script so that it returns the quadrature of descrete data using the trapezoidal rule. Modify the call to the function at the bottom of the script so that is uses your modifies

Hello, In R I am trying to use Kalman filtering to find a solution for an hydrological problem. With Kalman Filtering I want to estimate the discharge comming from three storage bassins. I have programmed a function in R which can run KalmanSmooth. When I'm asking for the function and putting in values, R detects the following error: "Error in as.vector(data) : Argument "S1" is

OK. I'll try it, but it really puzzles me how the battery could have gone bad for just 15 months. The online power is pretty stable, so the battery hasn't gone through many charge/discharge cycles... Regards, -- Georgi On 11.1.2020 at 14:24, Manuel Wolfshant wrote: > > indicates that the UPS thought that battery was close to depleted and decided to shutdown. I suggest to fully