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 |
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 |
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 |