similar to: Model II regression

Hi *, is there a way to obtain some kind of p-value for a model fitted with RMA using the lmodel2 package? I know that p-values are discussed and criticized a lot and as you can image from my question I'm not very much of a statistican (only writing my bachelor thesis). As fare as I understood the confidence interval statistic correctly, a coefficient is regarded as statistically significant

I wanna to do a Regression type 2 or Regression with X measured with error....anybody knows how can i make it in R?? thanks! -- View this message in context: http://r.789695.n4.nabble.com/Regression-type-2-x-measured-with-error-tp3251875p3251875.html Sent from the R help mailing list archive at Nabble.com.

On Friday, 26 June 2020 10.47.13 WEST I?aki Ucar wrote: > I used bcond locally and wrongly assumed that fedpkg build would > support --with BCOND and --without BCOND. Instead, the way to activate > it is to change to "%bcond_with check" and then revert to > "%bcond_without check". The only difference with bootstrap is that > "bootstrap" is recognized

Hi, Does anybody know whether it's possible (and sensible) to calculate R^2 (or something approximating R^2) on the results of a major axis Model II regression done by lmodel2? The function lmodel2 provides an R^2 for the OLS regression only (example below), but not for major axis regression. Also, is it possible to extract major axis regression residuals? (Resid did not work on the lmodel2

Hi, Does anybody know whether it's possible (and sensible) to calculate R^2 (or something approximating R^2) on the results of a major axis Model II regression done by lmodel2? The function lmodel2 provides an R^2 for the OLS regression only (example below) Also, is it possible to extract major axis regression residuals? Many thanks, Karen Example: > Result <- lmodel2(

Hello, I have problems using the functions as.Date and strptime/strftime of base package and some functions of package zoo in my computer (Apple, Mac OS X 10.3.9). When I use them, the R application closes... However, it depends on the length of the vector I want to transform. For example, in the data.frame: climat[c(1:5,1460:1462),] date TEMP_STG PRECIP_STG 1 01/01/01

Hi, I’m sorry, I know that it is a recurrent question but I have not been able to find the response in the Rhelp archives. I think my data require the use of the glmmPQL function but I do not know how to make the model selection. Since the AIC and log-likelihood are apparently meaningless, how can we select the parameters for a model and compare the models to find which one fits best the data?

Hello all; My question is part statistical and part R. I have performed model II major axis regression in R using both the smatr() and lmodel2() packages, but neither offers an option to statistically weight my regression. I have a vector of weights which I would like to apply to each of my regression points (x vs. y), and was hoping that someone out there could provide me with some help on this

Hi, I'm regressing various body dimensions upon body mass using the 'lmodel2' function, as I'm keen to obtain both OLS and RMA slope values. I also wish to create a plot of the regressions, with the 95% confidence interval of both the slope and intercept. I know how to plot 95% ci bands of the OLS slope using lm with the 'predict' function and 'matlines'. Does

Hi there, I have a problem using the function call tracing tools that is designed in llvm tools set. My aim is to record every function call that a program makes when it run. However, for whatever reason, a simple matrix multiply c program that I wrote cannot record all the function calls that happened when the program run. Here is the program: matrix.c #include <stdio.h> void

Hi All, When I tried to do logistic regression (with high maximum number of iterations) I got the following warning message Warning message: fitted probabilities numerically 0 or 1 occurred in: (if (is.empty.model(mt)) glm.fit.null else glm.fit)(x = X, y = Y, As I checked from the Archive R-Help mails, it seems that this happens when the dataset exhibits complete separation. However, p-values

FYI, I plan on implementing this for F31 if no issues arise. ---------- Forwarded message --------- From: Ben Cotton <bcotton at redhat.com> Date: Tue, 2 Jul 2019 at 10:55 Subject: Fedora 31 System-Wide change proposal: Automatic R runtime dependencies To: <devel-announce at lists.fedoraproject.org>, Development discussions related to Fedora <devel at lists.fedoraproject.org>

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