similar to: Bounding or constraining parameters in non-linear regressions

I would like to add a reference line to lattice graphs, with the reference line being different according to the factor level. Example : Draw 3 dotplots for "a","b" and "c" factors, and then add an horizontal line at y=10 for panel "a", y=8 for panel "b" and y=6 for panel "4" I tried the code below, but this draw all three reference

Dear Professor I have read your questions in the website on Doubly non-central F-distribution. I am looking for source code for evaluating this function now. I have matlab code but it's only accurate up to the 4th decimal point. Dataplot is more accurate, but it is not user friendly as you only can evaluate one function at a time. So I would like to know do you have found any R code for

IIRC, the license stated in the source code of dataplot is rather restrictive. I don't think one is allowed to use the source as can be done with GPL code. Cheers, Andy > -----Original Message----- > From: Brett A Magill [mailto:Brett.Magill at slps.org] > Sent: Thursday, June 27, 2002 1:14 PM > To: r-help at stat.math.ethz.ch > Subject: [R] FW: re: GUI's for teaching

Dear R users, I would appreciate for some advise how to generate a Tukey Mean-Difference Plot with the tmd function part of the lattice library. I have two test results (log transformed) which showing a correlation on a scatterplot. However the correlation line is parallel displaced depending on a clinical condition. I thought to a Tukey Mean Difference Plot would show me the difference

Have a look at the GUI on dataplot, NIST's plotting software. It is implemented in tcl/tk. The site states it is "public domain software" -- open source? I can't find anything about the license. In any case... http://www.itl.nist.gov/div898/software/dataplot/ Brett A. Magill, Evaluator Research, Assessment, and Evaluation Saint Louis Public Schools Brett.Magill at

The function wtd.var(x,w) in Hmisc calculates the weighted variance of x where w are the weights. It appears to me that wtd.var(x,w) = var(x) if all of the weights are equal, but this does not appear to be the case. Can someone point out to me where I am going wrong here? Thanks. Tom La Bone [[alternative HTML version deleted]]

I am interested in configuring Dovecot's TLS so as to retain forward secrecy, but eliminate all of NIST's elliptic curves. Besides being subject to side channel attacks [1], in some quarters there is a general distrust of NIST's curves and any of their other cryptographic primitives after the Dual EC DRBG debacle. >From what I can tell, the following will prevent the use of

hi! I would like to ask help how to generate numbers from g-and-h distribution. This distribution is like normal distribution but span more of the kurtosis and skewness plane. Has R any package on how to generate them? Any help will be greatly appreciated. Thank you so much! Form, Filame Uyaco --------------------------------- [[alternative HTML version deleted]]

On 10/30/20 4:51 PM, Pawel Winogrodzki wrote: > Hello, > > We are currently trying to apply a patch to our 8.0p1 version of OpenSSH for CVE-2020-14145<https://nvd.nist.gov/vuln/detail/CVE-2020-14145>. The "patch" tag from NIST's web page links to the 8.3p1 vs 8.4p1 comparison<https://github.com/openssh/openssh-portable/compare/V_8_3_P1...V_8_4_P1> on GitHub. Is

Dear All: I am stuck with this issue: I have a button on a TK window, once click it, it pops up a individual plot device: individual_plot <- function() { tkconfigure(overlay.button, state="normal") options(locatorBell = FALSE) plotfuntype() trellis.focus("panel", 1, 1,highlight=FALSE) panel.identify(labels=colnames(dataplot)) } Now I have

I performed canonical correspondence analysis (cca) with the example data of vegan, but I'm not able to obtain a table like scores() for the constraining variables. I can see them in the summary() mode, but it would be great to have in a separate table. Any suggestion?, thanx Gianandrea require(vegan) data(varespec) data(varechem) vare.cca<-cca(varespec,varechem) scores(vare.cca)

How would I make a dragable box snap every 100 pixels horizontally and every 25 pixels vertically, and be constrained to a box that is 800 pixels wide by 500 pixels tall? And then how can I retrieve the position of this box when it is released. Thanks Brian _______________________________________________ Rails-spinoffs mailing list

Hello. I want to fit a smoother spline (or an equivalent local regression method) to a series of data in which the initial value of the 1st derivative (slope) is constrained to a specific value. Is it possible to do this? If so, how? Bill Shipley [[alternative HTML version deleted]]

Does anyone know if there is a way to constrain two virtual registers to be allocated to the same physical register? Tia. Reed

Hello All: I have a binomial model with one covariate, x1, treated as a factor with 3 levels. The other covariate is measured x2 <- 1:30. The response, y, is the proportion of successes out of 20 trials. glm(cbind(y, 20 - y) ~ x1 * x2, family = binomial) Now, I would like to constrain the cofficients on 2 levels of the factor, x1, to be identical and test the difference between these

Hello, I'm working on an structural VAR using the var command to estimate and the svar command on the resultant object (package: vars). I want to constrain coefficients to equal one another, but that value to be estimated. So for the A matrix, I want A[2,1]=A[1,2] to be my constraints. Can this be done with this package? If so, how? If not, is there another package that it might be done with

I have been using the mlogit package but can't seem to figure out how to make constraints on the beta coefficients. For example, I would like to force that two of my beta's are equal to each other. Thanks in advance. Jonah

Hi All, I have two questions: I am computing a linear regression model with 0 as Intercept. Well, I would like the sum of my predicted values be equal to a constant and therefore analyze if my coefficients are significatively different using or not this constraint. Does anyone know how I can constrain my model in a such way? Here is the code: data<-read.table ("input.txt",

Hello, I've searched for an answer to no avail. I am wondering if anyone knows how to constrain certain correlations to be equal. I have family data with 2 twins per family plus up to 2 siblings. I would like to somehow constrain all the sibling correlations (twin-sib and sib-sib) to be the same while allowing the twin-twin correlation to be different. Here is some simulated code:

Hi, I have ported various improvements of Beryl's resize to Compiz: - multiple resize modes (aside to the standard "normal" mode those are "Stretch", "Outline" and "Filled Outline") - better aspect ratio constraining (you now also can resize aspect constrained windows from other edges than the lower right) - avoiding of mouse pointer desynchronization