similar to: calculating R-squared or equivalent for Model II regression

Displaying 8 results from an estimated 8 matches similar to: "calculating R-squared or equivalent for Model II regression"

2009 Aug 07
0
bump: calculating R-squared or equivalent for Model II regression
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
2009 Jul 20
1
package lmodel2: p-value RMA fitting?
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
2011 Jun 24
1
Model II regression
Hello, I am using function lmodel2 to calculate RMA regression between life-history traits in ladybirds beetles. It works well but I am not able to plot an RMA regression line on the scatterplot of my data. I am of course unable to plot the confidence intervals. For ordinary least square regression abline(lm(x~y))works well but for RMA regression, abline(lmodel2(x~y))does not do it. If somebody
2010 Feb 09
0
model II major axis regression
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
2011 Mar 29
0
Plotting 95% Confidence Intervals around RMA slope
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
2019 Jul 04
2
Fwd: Fedora 31 System-Wide change proposal: Automatic R runtime dependencies
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>
2011 Feb 01
2
Regression type 2, x measured with error
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.
2020 Jun 26
2
R 4.0.0 rebuild status
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