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A B C D F G H I L M N O P R S U W X
| asuR-package | Advanced statistics using R |
| app | Plots to inspect fitted models |
| asuR | Advanced statistics using R |
| BtheB | Beat the Blues Data |
| BtheB.long | Beat the Blues Data |
| BtheBlong | Beat the Blues Data |
| budworm | budworm data |
| cathedral | Medieval cathedrals in England |
| colVars | Column variances |
| dep | deviance residuals vs. linear predictor plot |
| dep,ANY-method | Methods for Function dep in Package 'asuR' |
| dep,glm-method | Methods for Function dep in Package 'asuR' |
| dep-methods | Methods for Function dep in Package 'asuR' |
| dep.glm | deviance residuals vs. linear predictor plot |
| devianceResidual.linearPredictor | deviance residuals vs. linear predictor plot |
| flowers | Flower |
| gala | Species diversity on the Galapagos Islands |
| growth | Weight Gain of two Species at different Nitrogen Concentrations |
| halfNormalQuantiles.absoluteStudentizedResiduals | half-normal quantiles vs. absolute stud. residuals plot |
| hnp | half-normal quantiles vs. absolute stud. residuals plot |
| hnp,ANY-method | Methods for Function hnp in Package 'asuR' |
| hnp,glm-method | Methods for Function hnp in Package 'asuR' |
| hnp-methods | Methods for Function hnp in Package 'asuR' |
| hnp.glm | half normal quantiles vs. absolute studentized residuals plot |
| houseflies | Housfly Development |
| ihp | Plots to inspect fitted models |
| ilp | Plots to inspect fitted models |
| inspect | Plots to inspect fitted models |
| inspect,ANY-method | Methods for Model Inspection in Package 'asuR' |
| inspect,glm-method | Methods for Model Inspection in Package 'asuR' |
| inspect,lm-method | Methods for Model Inspection in Package 'asuR' |
| inspect,lmer-method | Methods for Model Inspection in Package 'asuR' |
| inspect-methods | Methods for Model Inspection in Package 'asuR' |
| inspect.glm | Plots to Inspect fitted Models |
| inspect.lm | Plots to inspect fitted models |
| inspect.lmer | Plots to Inspect fitted Models |
| irp | Plots to inspect fitted models |
| lep | linearized response vs. linear predictor plot |
| lep,ANY-method | Methods for Function lep in Package 'asuR' |
| lep,glm-method | Methods for Function lep in Package 'asuR' |
| lep-methods | Methods for Function lep in Package 'asuR' |
| lep.glm | linearized response vs. linear predictor (eta) plot |
| linearizedResponse.linearPredictor | linearized response vs. linear predictor plot |
| mancontr | Contrast Matrix Construction |
| mycontr | Contrast Matrix Construction |
| mytrees | Simulated tree data |
| nep | Normal quantile quantile plot of random effects, for each factor |
| nep,ANY-method | Methods for Function nep in Package 'asuR' |
| nep,lmer-method | Methods for Function nep in Package 'asuR' |
| nep-methods | Methods for Function nep in Package 'asuR' |
| nep.lmer | Normal quantile quantile plot of random effects, for each factor |
| norm | Inspect your residuals after transformation |
| norm.test | Inspect your residuals after transformation |
| NormalQuantiles.RandomEffectsQuantiles | Normal quantile quantile plot of random effects, for each factor |
| NormalQuantiles.Residuals.CategoricalFixedEffects | Normal quantile quantile plot of residuals by levels of categorical fixed effects |
| nrp | Normal quantile quantile plot of residuals by levels of categorical fixed effects |
| nrp,ANY-method | Methods for Function nrp in Package 'asuR' |
| nrp,lmer-method | Methods for Function nrp in Package 'asuR' |
| nrp-methods | Methods for Function nrp in Package 'asuR' |
| nrp.lmer | Normal quantile quantile plot of random effects, for each factor |
| oring | O-ring data |
| parseFormula | providing names and data from model objects |
| parseFormula,ANY-method | Methods for Function parseFormula in Package 'asuR' |
| parseFormula,glm-method | Methods for Function parseFormula in Package 'asuR' |
| parseFormula,lm-method | Methods for Function parseFormula in Package 'asuR' |
| parseFormula,lmer-method | Methods for Function parseFormula in Package 'asuR' |
| parseFormula-methods | Methods for Function parseFormula in Package 'asuR' |
| parseFormula.glm | providing names and data from model objects |
| parseFormula.lm | providing names and data from model objects |
| parseFormula.lmer | providing names and data from model objects |
| partialResidual.eachPredictor | partial residual vs. each predictor plot |
| pea | Pea data |
| plants | Plant height |
| prp | Plots to inspect fitted models |
| residuals.by.groups | Box- or dotplot of residuals by groups, for each random factor |
| Residuals.Fitted.CategoricalFixedEffects | Residuals vs. fitted values for all categorical fixed effects |
| rfp | Residuals vs. fitted values for all categorical fixed effects |
| rfp,ANY-method | Methods for Function rfp in Package 'asuR' |
| rfp,lmer-method | Methods for Function rfp in Package 'asuR' |
| rfp-methods | Methods for Function rfp in Package 'asuR' |
| rfp.lmer | Residuals vs. fitted valus for all categorical fixed effects |
| rgp | Box- or dotplot of residuals by groups, for each random factor |
| rgp,ANY-method | Methods for Function rgp in Package 'asuR' |
| rgp,lmer-method | Methods for Function rgp in Package 'asuR' |
| rgp-methods | Methods for Function rgp in Package 'asuR' |
| rgp.lmer | Box- or dotplot of residuals by groups for each random factor |
| rpp | partial residual vs. each predictor plot |
| rpp,ANY-method | Methods for Function rpp in Package 'asuR' |
| rpp,glm-method | Methods for Function rpp in Package 'asuR' |
| rpp,lm-method | Methods for Function rpp in Package 'asuR' |
| rpp-methods | Methods for Function rpp in Package 'asuR' |
| rpp.glm | Partial Residual Plots |
| rpp.lm | partial residual vs. each predictor plot |
| ryp | Plots to inspect fitted models |
| schoolclass | Schools and Classes |
| unemployment | data on long / short term unemployment |
| weight | Weight Gain |
| wellplate | wellplate |
| wellplate2 | wellplate |
| wellplate3 | wellplate |
| xxp | Plot all explanatory variables against each other |