validPredictionsFrame | R Documentation |
Checks that an object
is a predictions.frame
of S3-class data.frame
that contains the columns
predicted.value, standard.error and est.status.
validPredictionsFrame(object)
object |
an |
TRUE
or a character
describing why the object
is not a valid predictions.frame
.
Chris Brien
predictions.frame
, is.predictions.frame
,
as.predictions.frame
,
validAsrtests
, validAlldiffs
data(Oats.dat)
## Use asreml to get predictions and associated statistics
## Not run:
m1.asr <- asreml(Yield ~ Nitrogen*Variety,
random=~Blocks/Wplots,
data=Oats.dat)
current.asrt <- as.asrtests(m1.asr)
Var.pred <- asreml::predict.asreml(m1.asr, classify="Nitrogen:Variety",
sed=TRUE)
if (getASRemlVersionLoaded(nchar = 1) == "3")
Var.pred <- Var.pred$predictions
Var.preds <- as.predictions.frame(Var.pred$pvals, se = "std.error",
est.status = "status")
## End(Not run)
## Use lmerTest and emmmeans to get predictions and associated statistics
if (requireNamespace("lmerTest", quietly = TRUE) &
requireNamespace("emmeans", quietly = TRUE))
{
m1.lmer <- lmerTest::lmer(Yield ~ Nitrogen*Variety + (1|Blocks/Wplots),
data=Oats.dat)
Var.emm <- emmeans::emmeans(m1.lmer, specs = ~ Nitrogen:Variety)
Var.preds <- summary(Var.emm)
Var.preds <- as.predictions.frame(Var.preds, predictions = "emmean",
se = "SE", interval.type = "CI",
interval.names = c("lower.CL", "upper.CL"))
}
if (exists("Var.preds"))
{
## Check the class and validity of the predictions.frame
is.predictions.frame(Var.preds)
validPredictionsFrame(Var.preds)
}
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