similar to: deming regresion to make 2 variables comparable

Hi all. Has anyone ever done a Deming Regression in R? I'm wondering if there's a simple way to do it. Thanks for all your help! -Ed -- View this message in context: http://www.nabble.com/Deming-Regression-tp17949318p17949318.html Sent from the R help mailing list archive at Nabble.com.

please tell me that what sip based softphone will beused with Asterisk so that i can trasmit and receive video on my LAN . --------------------------------- Yahoo! Mail Use Photomail to share photos without annoying attachments. -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi, Does R have any functions implementing such multinomial regression: (S_t^A,S_t^B)~MN(N_t-Y_{t-1},P_t^A,P_t^B) where MN(n,p_1,p_2) is multinomial distribution with parameters n, p_1, p_2. Here P_t^A and P_t^B are nonlinear functions from predictor variables and parameters which need to be estimated. Here A and B are used for notation, they are not parameters. My second question is about

Hola Alexander Quizá esto te pueda ser útil reg<-function(a,b,sigma,x){ data<-a+b*x+rnorm(length(x),0,sigma) lm<-lm(data~x) c(lm$coefficients[1],lm$coefficients[2]) } zz<-replicate(1000,reg(1,2,0.5,100,c(1:100))) hist(zz[1,]) Paco

Muy buenas tardes, les escribo con el fin de saber si alguno de ustedes, me puede dar una guia de como generar una simulacion para ilustrar el insesgamiento de los estimadores B0 y B1 de regresion lineal simple lo he logrado hacer para un tamaño de muestra fijo pero no he podido hacer las iterciones. En particular lo que requiero es hacer la simulacion que me grafique para varios diferentes

Saludos a todos. Tengo problemas para encontrar la funcion que te permite generar la formula de la regresion lineal entre dos variables y la linea de tendencia en el gráfico de dispersion de puntos, lo que si puedo realizar es el gráfico con los puntos distribuidos en los 2 ejes pero lo demás que mencioné no se como ingresarlo. Saludos, Gabriel Antonio Trujillo Paucar Estudiante de Biologia

Hii all, may I introduce myself. my name is Putro Nugroho i'am astudent of Gadjah Mada University, i'am doing on my final exam about Parametric Regression Model with gamma and log-gamma regression model. I have a problem about the syntax program on R because it doesn't work with gamma distribution with log link function. when I use zelig package it doesn't work when the data is

Hi Hi I am working on credit scoring model using logistic regression. I havd main sample of 42500 clentes and based on their status as regards to defaulted / non - defaulted, I have genereted the probability of default. I have a hold out sample of 5000 clients. I have calculated (1) No of correctly classified goods Gg, (2) No of correcly classified Bads Bg and also (3) number of wrongly

Hi: Could anyone help me to clarify this: are the weights normalized inside lm function (package:stats) before applied to the error term? For example: >lm (cost ~ material, weights=quatity, data=receipt) will lm normalize quatity such that sum(quatity) = 1? I traced to lm.wfit and then the weights get transferred into a precompiled FORTRAN module so I can't figure out. Thanks!

Dear Mr Peter Dalgaard and Mr Dieter Menne, I sincerely thank you for helping me out with my problem. The thing is taht I already have calculated SENS = Gg / (Gg + Bg) = 89.97% and SPEC = Bb / (Bb + Gb) = 74.38%. Now I have values of SENS and SPEC, which are absolute in nature. My question was how do I interpret these absolue values. How does these values help me to find out wheher my model is

Hola a tod en s, estoy trabajando con modelos de regresión mixta con el paquete "nlme", concretamente con la función "lme". Una vez que hago mi modelo y el summary del mismo obtengo por ejemplo la significación (valor p) de la variable independiente, así como el valor del AIC para comparar mi modelo con otro similar, pero no sé cómo obtener un valor del grado de ajuste de la

The title says it all really; I am looking for a function along the lines of cutpt.coxph as described in "Survival Analysis Using S" (Tableman and Kim), Chapter 6. As may be guessed, the function optimises the cutpoint of a continuous variable for cox proportional hazard modelling. I can't find it, or any similar function, on CRAN. Alternatively, perhaps there is a way of extracting

I am running a 3-parameter nonlinear fit using the default Gauss-Newton method of nls. initialValues.L = list(b=4,d=0.04,t=180); fit.nls.L = nls( myModel.nlm , fData.L, start = initialValues.L, control = nls.control(warnOnly = TRUE), trace=T ); summary.nls.L = summary(fit.nls.L); I run the same analysis in SAS proc NLIN. proc nlin data=apples outest=a; parms b=4 d=.04 t=180; model Y =

It seems that in the context of EL8 the tool RepoView that creates static HTML pages out of a yum repository is obsolet because of the missing yum python modules (EL8 comes with dnf). Further more it seems also be abandoned [*] and I do not expect to appear in EPEL8. Does someone uses a similar tool to generate browseable repo HTML pages? [*] https://bugzilla.redhat.com/show_bug.cgi?id=1675886

Dear Mrs Rachel Pearce, I am looking for a function "cutpt-coxph" in R - like you did some years ago. How have you solved the problem? Have you found it or a similar function? thank you, Sincerely, Friederike "The title says it all really; I am looking for a function along the lines of cutpt.coxph as described in "Survival Analysis Using S" (Tableman and Kim), Chapter

Dear R-users, This is partially a R question and partially general econometrics. I have three time series which are somewhat "dissimilar": plotting their histograms indicates that they do not come from the same distribution, never mind a normal distribution. I wish to predict the first as a function of the latter two. I need a regression method which deals with three problems: - I

hi, I have question. I worte r function that suppsoe ti return x and y to me. when I use that function in the middle of a code ( i use source) it give me the value of x,y but when i write x,ro y it says (not found). so my question is that I want when i load this function to return the varibles x and y beuse the rest of my code depends on thse variables. Thank you HI