similar to: Collineariy Diagnostics

Displaying 20 results from an estimated 1000 matches similar to: "Collineariy Diagnostics"

2009 Jul 13
1
Times series adjustment
Dear all, I want make correction depth of a bathymetric data set. To do so, I have the depth data set sample every second (a depth at each second) in one hand, and in the other hand, I have a tide variation level data set sample every 250 ms. The time register in each data sets (tide and bathymetric) is express in seconds followinf this format : hh:mm:ss.ss I would like to rectify the depth
2007 Aug 22
3
integrate
Hi, I am trying to integrate a function which is approximately constant over the range of the integration. The function is as follows: > my.fcn = function(mu){ + m = 1000 + z = 0 + z.mse = 0 + for(i in 1:m){ + z[i] = rnorm(1, mu, 1) + z.mse = z.mse + (z[i] - mu)^2 + } + return(z.mse/m) + } > my.fcn(-10) [1] 1.021711 > my.fcn(10) [1] 0.9995235 > my.fcn(-5) [1] 1.012727 > my.fcn(5)
2006 Apr 04
2
Return function from function with minimal environment
Hi, this relates to the question "How to set a former environment?" asked yesterday. What is the best way to to return a function with a minimal environment from a function? Here is a dummy example: foo <- function(huge) { scale <- mean(huge) function(x) { scale * x } } fcn <- foo(1:10e5) The problem with this approach is that the environment of 'fcn' does not
2010 Jun 09
2
OOP and passing by value
Greetings, I love the R system and am sincerely grateful for the great effort the product and contributors are delivering. My question is as follows: I am trying to use S4 style classes but cannot write functions that modify an object because paramter passing is by value. For example I want to do this: setGeneric("setData", function(this,fcn,k){ standardGeneric("setData")
2008 Apr 22
4
how to convert non numeric data into numeric?
I am having the following error in my function function(theta,reqdIRR) { theta1<-theta[1] theta2<-theta[2] n<-length(reqdIRR) constant<- n*(theta1+theta2) sum1<-lapply(reqdIRR*exp(theta1),FUN = sum) sum2<-lapply(exp(theta2 - reqdIRR*exp(theta1)),FUN = sum) sum = sum1 + sum2 log.fcn = constant - as.numeric(sum) result = - log.fcn return(result) } *error :
2016 Mar 13
1
formals(x)<- drops attributes including class
Just checking in to see whether it is intended or not that assigning new formals to a function/closure causes any attributes to be dropped: EXAMPLE: > fcn <- structure(function() {}, foo="foo", class=c("foo")) > str(fcn) function () - attr(*, "srcref")=Class 'srcref' atomic [1:8] 1 18 1 30 18 30 1 1 .. ..- attr(*, "srcfile")=Classes
2012 Jan 25
1
solving nls
Hi, I have some data I want to fit with a non-linear function using nls, but it won't solve. > regresjon<-nls(lcfu~lN0+log10(1-(1-10^(k*t))^m), data=cfu_data, > start=(list(lN0 = 7.6, k = -0.08, m = 2))) Error in nls(lcfu ~ lN0 + log10(1 - (1 - 10^(k * t))^m), data = cfu_data, : step factor 0.000488281 reduced below 'minFactor' of 0.000976562 Tried to increase minFactor
2003 Oct 30
2
'nls' and its arguments
Dear R experts! I'd to fit data by 'nls' with me-supplied function 'fcn'. 1) I'd like 'fcn' to accept arbitrary arguments, i.e. I defined it as f(...) {<body>}. (Ok, that's not actually impotant). 2) Second, I would NOT like to supply every parameter in the formula. To illustrate this, let's look at the last example of 'nls' help
2011 Mar 15
1
Problem with nls.lm function of minpack.lm package.
Dear R useRs, I have a problem with nls.lm function of minpackl.lm package. I need to fit the Van Genuchten Model to a set of data of Theta and hydraulic conductivity with nls.lm function of minpack.lm package. For the first fit, the parameter estimates keep changing even after 1000 iterations (Th) and I have a following error message for fit of hydraulic conductivity (k); Reason for
2007 Sep 29
2
Help with functions (iterations)
Hello: I am a bit confused by this problem. Can anyone give me some advice on this I would greatly appreciate it. Thank you for all your help. Need to create a for loop that saves the estimate of pi from each 0f 100 separate iterations and store it in a numeric vector (of length 100). The for loop should be placed in a function that allows the user to vary the sample size, the simulation size,
2010 May 14
1
debugging substitute function in R 2.11
Dear list, A while ago I found in the web a function (sadly I can't credit the author as I don't remember where I picked it up from) whose output is a dataframe that lists for every object in the global environment its class, mode, dim & length (where applicable). It is meant to be an upgrade to the ls () function with a far more informative and detailed output and it quickly became
2011 Dec 14
1
uniroot function question
I have one equation, two unknowns, so I am trying to build the solution set by running through possible values for one unknown, and then using uniroot to solve for the accompanying second solution, then graphing the two vectors. p0 = .36 f = function(x) 0.29 * exp(5.66*(x - p0)) f.integral = integrate(f, p0, 1) p1 = p0 + .01 i = 1 n = (1 - p0)/.01 p1.vector = rep(0,n) p2.vector = rep(0,n) for (i
2024 Feb 06
1
[EXTERNAL] Re: NOTE: multiple local function definitions for ?fun? with different formal arguments
Here's a dummy example that I think illustrates the problem: toto <- function() { if (runif(1) < 0.5) function(a) a else function(a,b) a+b } > fcn <- toto() > fcn(1,2) [1] 3 > fcn <- toto() > fcn(1,2) [1] 3 > fcn <- toto() > fcn(1,2) Error in fcn(1, 2) : unused argument (2) How can you use the returned function, if you get different arguments?
2013 Feb 05
1
integrate: Don't do this?
When I run the following function HQ2 <- function(n) { nv <- 6 * sqrt(n) fcn <- function(z) { pchisq(z^2 / 36, n - 1) * dnorm(nv - z) } ## I want the integral from 0 to infinity: f.Inf <- integrate(fcn, 0, Inf) ## Doc: "Don't do this": f.100 <- integrate(fcn, 0, 100) cbind(f.Inf, f.100) } I get, for n = 9 and
2013 Dec 04
2
AYUDA CON ERROR CON LA LIBRERIA PCA
Cordial saludo adjunto la base de datos y el script: eu60<- read.csv(file.choose(), header=T, sep=";", dec=".", row.names=1) eu60.pca <- PCA(eu60, quali.sup=19) eu60.data <- cbind.data.frame(eu60[,19], eu60.pca$ind$coord) eu60.ellipse <- coord.ellipse(eu60.data, bary=TRUE) plot.PCA(ellipse=eu60.ellipse, cex=0.8) El 4 de diciembre de 2013 17:35, Camilo Calle
2024 Feb 06
1
[EXTERNAL] Re: NOTE: multiple local function definitions for ?fun? with different formal arguments
Because functions get called and therefore, the calling sequence matters. It?s just protecting you from yourself, but as someone pointed out, there?s a way to silence such notes. G From: Herv? Pag?s <hpages.on.github at gmail.com> Sent: Tuesday, February 6, 2024 2:40 PM To: Izmirlian, Grant (NIH/NCI) [E] <izmirlig at mail.nih.gov>; Duncan Murdoch <murdoch.duncan at gmail.com>;
2003 Oct 02
1
"[[<-","[[" default?
Hi! I have implemented class specific behaviour of "[[<-.myclass"<-function(). How it is posible to call the "[[.default" on an object of myclass? Eryk Dipl. bio-chem. Eryk Witold Wolski @ MPI-MG Dep. Vertebrate Genomics Ihnestrasse 73 14195 Berlin 'v' tel: 0049-30-84131285 / \ mail: wolski@molgen.mpg.de ---W-W----
2006 Apr 05
1
predict.smooth.spline.fit and Recall() (Was: Re: Return function from function and Recall())
Hi, forget about the below details. It is not related to the fact that the function is returned from a function. Sorry about that. I've been troubleshooting soo much I've been shoting over the target. Here is a much smaller reproducible example: x <- 1:10 y <- 1:10 + rnorm(length(x)) sp <- smooth.spline(x=x, y=y) ypred <- predict(sp$fit, x) # [1] 2.325181 2.756166 ...
2014 Dec 08
2
[LLVMdev] Virtual register problem in X86 backend
Hi, I'm having trouble using virtual register in the X86 backend. I implemented a new intrinsic and I use a custom inserter. The goal of the intrinsic is to set the content of the stack to zero at the end of each function. Here is my code: MachineBasicBlock * X86TargetLowering::EmitBURNSTACKWithCustomInserter( MachineInstr *MI, MachineBasicBlock
2008 Jan 08
1
use "save.image" inside a function?
Hi, All I'm trying to save the workspace as a Check Point for possible future come back. The "save.image" function works if the whole coding is in a main function: rm(list=ls()) t = 1 t = t+1 print(paste("before",t)) # [1] "before 2" save.image("tt.RData") t = t+1 print(paste("after",t)) # [1] "after 3"