similar to: Struchture change of a data frame

Hello everybody I need some help. Currently, I'm translating a code from Splus to R. In Splus code there is the function nlminb (Nonlinear Minimization subject to Box Constraints) used. Does anybody know an equivalent function in R? Thanks for help Kind regards, Beat Huggler _____________________________________________ Beat Huggler Quantitative Analysis RMF Investment Management

Hi guys Recently a wanted to look at the opotunities which are suported by the labrary of tcltk. Unfortunatly I couldn't load the library and it occured the following error message: Error in firstlib(which.lib.loc, package) : TCL_LIBRARY is not set Error in library(pkg, character.only = TRUE) : .First.lib failed I've tried to load it in sveral ways. I reinstalt the

Hi guys I'm working with with R1.4.1 on windows I'm trying to import data from the ODBC (Access database) with the library RODBC. Every thing works perfect except that the dates are factors. > library(RODBC) > xx <- odbcConnect("grave_liv") > dat <- sqlQuery(xx,"SELECT All_MONTHLY.ID, All_MONTHLY.Date, All_MONTHLY.RoR FROM (Reasons INNER JOIN

Dear all Currently, I'm implementing the generalized hyperbolic distribution into Splus. Unfortunately the Bessel function is not implemented in Splus. In R the Bessel function does exist but it is an internal function and I'm not able to look at the code. Is there any possibility to see the code of the Bessel function in R or does anybody has an implementation of the Bessel function in

Hi All, I've developed a pass to render machine functions as HTML pages with some accompanying information about liveness and register pressure. Current features: Renders machine functions, optionally displaying estimated register pressure for selected register classes, and liveness for selected intervals. The following command line options can be used to enable and customise the

Hi all a very happy greeting to you all. i have just joined the list, i am newbie in R and this is my first message ( before this i was a member of Linux kernel mailing list) and hence i woulk like to add that i know how to behave in the mailing lists. I have a data something like this which i am reading from a csv file using read.table (Is there any difference between read.csv and read.table

Hi, I'm having trouble with auth_password() failing on my linux box using yellow pages. I've tracked the problem down to the following: pw_password = "RMf.YivanoZc2,o01N" encrypted_password = "RMf.YivanoZc2" This fails on the return(strcmp(encrypted_password, pw_password) == 0). because crypt() only returns 13 characters. I seem to remember the

Ok, and if I would just like to force my slope coefficients to be inside an interval, let's say, between 0 and 1? Is there a way in R to formulate such a constraint regression? Thanks in advance and kind regards, Aljosa Aljosa Aleksandrovic, FRM, CAIA Quantitative Analyst - Convertibles aljosa.aleksandrovic at man.com Tel +41 55 417 7603 Man Investments (CH) AG Huobstrasse 3 | 8808

Hi all, I hope you are doing well? I?m currently using the lm() function from the package stats to fit linear multifactor regressions. Unfortunately, I didn?t yet find a way to fit linear multifactor regressions with constraint coefficients? I would like the slope coefficients to be all inside an interval, let?s say, between 0 and 1. Further, if possible, the slope coefficients should add up to

Have you tried web searching on " R constrained linear regression" or similar. There seemed to be resources related to your issues when I looked. You might also search on rseek.org . There are apparently several packages that do regression with constraints, but I don't know if they fit your situation. Cheers, Bert Bert Gunter "The trouble with having an open mind is that

If the slope coefficients sum to a constant, the regressors are dependent and so a unique solution is impossible (an infinity of solutions would result). So I think you have something going on that you don't understand and should consult a local statistician to help you formulate your problem appropriately. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people

Hi Gabor, Thanks a lot for your help! I tried to implement your nonlinear least squares solver on my data set. I was just wondering about the argument start. If I would like to force all my coefficients to be inside an interval, let?s say, between 0 and 1, what kind of starting values are normally recommended for the start argument (e.g. Using a 4 factor model with b1, b2, b3 and b4, I tried

The nls2 package can be used to get starting values. On Thu, Apr 28, 2016 at 8:42 AM, Aleksandrovic, Aljosa (Pfaeffikon) <Aljosa.Aleksandrovic at man.com> wrote: > Hi Gabor, > > Thanks a lot for your help! > > I tried to implement your nonlinear least squares solver on my data set. I was just wondering about the argument start. If I would like to force all my coefficients to

This is a quadratic programming problem that you can solve using either a quadratic programming solver with constraints or a general nonlinear solver with constraints. See https://cran.r-project.org/web/views/Optimization.html for more info on what is available. Here is an example using a nonlinear least squares solver and non-negative bound constraints. The constraint that the coefficients sum

the new src/lib/ipwd.c introduced in 2.0.12 no longer compiles on solaris. Under solaris, the *_r routines doesn't pass in result as the last parameter and return errno - it just returns result. obviously a job for configure..... -- Roger Fujii<rmf at lookhere.com>

Hi all, I'm trying to combine exhaustively several character arrays in R like: x=c("one","two","three") y=c("yellow","blue","green") z=c("apple","cheese") in order to get concatenation of x[1] y[1] z[1] ("one yellow apple") x[1] y[1] z[2] ("one yellow cheese") x[1] y[2] z[1]("one blue

Inspired by colouring the dots of box-whisker plots I am trying to also fill the boxes (rectangles) with different colours. This seems not to work as I expected. Looking at the help page of panel.bwplot it says: 'fill - color to fill the boxplot'. Obviously it is only intended to fill all boxes with only one colour? Nevertheless the following example shows, that 'fill' from

Ok, before I definetly give up, and throw the laptop out of the window, or fill my data.frame manually, I'll ask for some help. I have a data.frame named MyTable with 3 columns, that looks like this: V1 V2 V3 red-j appearanceblood-n 105.032 red-j appearanceground-n 93.749 red-j appearancesea-n 102.167 red-j appearancesky-n 10.898

----- Original Message ----- From: Robin Gruna To: R-help@lists.R-project.org Sent: Sunday, June 20, 2004 5:42 PM Subject: Evaluating strings as variables Hello, I have the following problem: I have a list as follows, > values <- list(red = 1, yellow = 2, blue = 3) > values $red [1] 1 $yellow [1] 2 $blue [1] 3 There is also a vector containing the diffrent "colors" as

> Dear expeRts, > > Currently, my colors are as follows: > mycol <- > c("blue1","blue2","blue3","blue4","black","yellow4","yellow3","yellow2","y > ellow1") > heatmap(snp, Rowv=NA, Colv=NA, col=mycol) > > However, I would like to have the following colors: > bright blue ->