search for: coefplot

...ents, scores, loadings, biplots and correlation loadings. The main changes since 1.0-3 are - mvr, mvrCv and predict.mvr now has builtin support for scaling of X. - A new function stdize for explicit centering and/or scaling. - Correlation loadings plot (corrplot). - New argument `varnames' in coefplot, to label the x tick marks with the variable names. - loadingplot, coefplot and plot.mvrVal can now display legends, with the argument 'legendpos'. See CHANGES in the sources for all changes. -- Bj??rn-Helge Mevik and Ron Wehrens _______________________________________________ R-pa...

...ents, scores, loadings, biplots and correlation loadings. The main changes since 1.0-3 are - mvr, mvrCv and predict.mvr now has builtin support for scaling of X. - A new function stdize for explicit centering and/or scaling. - Correlation loadings plot (corrplot). - New argument `varnames' in coefplot, to label the x tick marks with the variable names. - loadingplot, coefplot and plot.mvrVal can now display legends, with the argument 'legendpos'. See CHANGES in the sources for all changes. -- Bj??rn-Helge Mevik and Ron Wehrens _______________________________________________ R-pa...

Version 2.3.0 of the pls package has been released. The pls package implements Partial Least Squares Regression and Principal Component Regression. The major changes are: - New analysis method Canonical Powered PLS (CPPLS) implmemented. See ?cppls.fit. - coefplot() can now plot whiskers at +/-1 SE (since 2.2.0). See ?coefplot - The package now has a name space (since 2.2.0). -- Regards, Bj?rn-Helge Mevik _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages

...n of (R)MSEP and R2 - Functions for plotting predictions, validation statistics, coefficients, scores, loadings, biplots and correlation loadings. The main changes since 1.2-0 are - There is now an options mechanism for selecting default fit algorithms. See ?pls.options. - loadingplot() and coefplot() now try to be more intelligent when plotting x axis labels. - The handling of factors in X has been improved, by changing the way the intercept is removed from the model matrix. - All PLSR and PCR algorithms, as well as mvrCv(), have been optimised. Depending on the algorithm used, the size...

...n of (R)MSEP and R2 - Functions for plotting predictions, validation statistics, coefficients, scores, loadings, biplots and correlation loadings. The main changes since 1.2-0 are - There is now an options mechanism for selecting default fit algorithms. See ?pls.options. - loadingplot() and coefplot() now try to be more intelligent when plotting x axis labels. - The handling of factors in X has been improved, by changing the way the intercept is removed from the model matrix. - All PLSR and PCR algorithms, as well as mvrCv(), have been optimised. Depending on the algorithm used, the size...

...Function to Recall Last Source File | balance Functions to compute the balance statistics | bayesglm Bayesian generalized linear models. | bayespolr Bayesian Ordered Logistic or Probit Regression | binnedplot Binned Residual Plot | coefplot Generic Function for Making Coefficient Plot | contr.bayes.ordered Contrast Matrices | corrplot Correlation Plot | display Functions for Processing lm, glm, mer and polr | Output | fround Formating the Roundi...

...se you missed them, here are some articles related to R from the month of January: Sponsorships from Revolution Analytics are now available for local R user groups in 2012: http://bit.ly/y0znRH The winners of the Applications of R in Business Contest have been announced: http://bit.ly/AsRLQG The coefplot package visualizes model coefficients and standard errors in a line chart: http://bit.ly/AB0oJD Revolution Analytics was named a "Startup to Watch in 2012" by Silicon Angle, amongst five companies commercializing and contributing to open source: http://bit.ly/wdKJ4b Revolution Analytics...

...r of Genome Wide Association studies. Updated packages ---------------- adaptivetau (1.0), adehabitat (1.8.10), adehabitatLT (0.3.5), aod (1.3), asypow (2012.04-1), BayesDA (2012.04-1), bayesTFR (1.5-1), Bergm (2.3), BoolNet (1.50), bqtl (1.0-27), cccrm (1.1), censReg (0.5-10), cherry (0.2-6), coefplot (1.1.7), coloc (1.08), CompRandFld (1.0.2), ConjointChecks (0.0.7), copula (0.99-1), crawl (1.3-4), deseasonalize (1.03), digeR (1.3), DistributionUtils (0.5-1), effects (2.1-1), elec.strat (0.1.1), ElemStatLearn (2012.04-0), EVER (1.2), evtree (0.1-2), fanovaGraph (1.1), gbm (1.6-3.2), Generalized...