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-methods |
Methods for Model Inspection in Package `asuR' |
inspect.glm |
Plots to Inspect fitted Models |
inspect.lm |
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 |
norm |
Inspect your residuals after transformation |
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-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 |
partialResidual.eachPredictor |
partial residual vs. each predictor plot |
pea |
Pea data |
plants |
Plant height |
prp |
Plots to inspect fitted models |
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 |