Create a new data frame for prediction
Build a data.frame for prediction, where one variable varies and all
other variables are set to the reference value (median for continuous
variables).
predDF(object, ...) ## S3 method for class 'JointAI' predDF(object, vars, length = 100L, ...) ## S3 method for class 'formula' predDF(object, data, vars, length = 100L, ...)
object |
object inheriting from class 'JointAI' |
... |
optional specification of the values used for some (or all) of the
variables given in |
vars |
name of variable that should be varying |
length |
number of values used in the sequence when |
data |
a |
# fit a JointAI model
mod <- lm_imp(y ~ C1 + C2 + M2, data = wideDF, n.iter = 100)
# generate a data frame with varying "C2" and reference values for all other
# variables in the model
newDF <- predDF(mod, vars = ~ C2)
head(newDF)
newDF2 <- predDF(mod, vars = ~ C2 + M2,
C2 = seq(-0.5, 0.5, 0.25),
M2 = levels(wideDF$M2)[2:3])
newDF2Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.