QUALYPSO.ANOVA | R Documentation |
Partition uncertainty in climate responses using an ANOVA inferred with a Bayesian approach.
QUALYPSO.ANOVA(phiStar, scenAvail, listOption = NULL, namesEff)
phiStar |
matrix of climate change responses (absolute or relative changes): |
scenAvail |
data.frame |
listOption |
list of options (see |
namesEff |
names of the main effects |
list with the following fields:
GRANDMEAN: List of estimates for the grand mean:
strong: MEAN: vector of length n
of posterior means
strong: SD: vector of length n
of posterior standard dev.
strong: CI: matrix n
x 2 of credible intervals of
probability probCI
given in listOption
.
strong: QUANT: matrix n
x nQ
of quantiles related
to the probabilities quantilePosterior
given in listOption
RESIDUALVAR: List of estimates for the variance of the residual errors:
strong: MEAN: vector of length n
of posterior means
strong: SD: vector of length n
of posterior standard dev.
strong: CI: matrix n
x 2 of credible intervals of
probability probCI
given in listOption
.
strong: QUANT: matrix n
x nQ
of quantiles related
to the probabilities quantilePosterior
given in listOption
MAINEFFECT: List of estimates for the main effects. For each main effect (GCM, RCM,..), each element of the list contains a list with:
strong: MEAN: matrix n
x nTypeEff
of posterior means
strong: SD: matrix n
x nTypeEff
of posterior standard dev.
strong: CI: array n
x 2 x nTypeEff
of credible
intervals of probability probCI
given in listOption
.
strong: QUANT: array n
x nQ
x nTypeEff
of
quantiles related to the probabilities quantilePosterior
given in
listOption
CHANGEBYEFFECT: For each main effect, list of estimates for the mean change by main effect, i.e. mean change by scenario (RCP4.5). For each main effect (GCM, RCM,..), each element of the list contains a list with:
strong: MEAN: matrix n
x nTypeEff
of posterior means
strong: SD: matrix n
x nTypeEff
of posterior standard dev.
strong: CI: array n
x 2 x nTypeEff
of credible
intervals of probability probCI
given in listOption
.
strong: QUANT: array n
x nQ
x nTypeEff
of
quantiles related to the probabilities quantilePosterior
given in
listOption
EFFECTVAR: variability related to the main effects (i.e.
variability between the different RCMs, GCMs,..). Matrix n
x
nTypeEff
CONTRIB_EACH_EFFECT: Contribution of each individual effect
to its component (percentage), e.g. what is the contribution of GCM1 to the
variability related to GCMs. For each main effect (GCM, RCM,..), each
element of the list contains a matrix n
x nTypeEff
listOption: list of options used to obtained these results
(obtained from QUALYPSO.check.option
)
listScenarioInput: list of scenario characteristics
(obtained from QUALYPSO.process.scenario
)
Guillaume Evin
Evin, G., B. Hingray, J. Blanchet, N. Eckert, S. Morin, and D. Verfaillie (2020) Partitioning Uncertainty Components of an Incomplete Ensemble of Climate Projections Using Data Augmentation. Journal of Climate. <doi:10.1175/JCLI-D-18-0606.1>.
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