Synthesizing Method for synthpop Using a Formula Interface
Defines a synthesizing method for for synthpop using a formula interface.
syn.formula(y, x, xp, proper=FALSE, syn_formula, syn_fun, syn_args, ...)
y |
Original data vector of length n |
x |
Matrix (n \times p) of original covariates |
xp |
Matrix (k \times p) of synthesised covariates |
proper |
Logical value specifying whether proper synthesis should be conducted. |
syn_formula |
A formula object |
syn_fun |
Synthesizing method in synthpop package |
syn_args |
Function arguments of |
... |
Further arguments to be passed |
When using the synthesis method "mice" in
synthpop::syn, the function arguments have to appear
as rf.syn_formula, rf.syn_fun and rf.syn_args
(convention in synthpop).
A vector of length k with synthetic values of y.
## Not run:
#############################################################################
# EXAMPLE 1: SD2011 | using a formula for defining the regression model
#############################################################################
library(synthpop)
#** selection of dataset
data(SD2011, package="synthpop")
vars <- c("sex","age","ls","smoke")
dat <- SD2011[1:1000, vars]
dat$ls <- as.numeric(dat$ls)
#** default synthesis
imp0 <- synthpop::syn(dat)
pred <- imp0$predictor.matrix
method <- imp0$method
#** use synthesizing method 'formula'
method["ls"] <- "formula"
syn_fun <- list( ls="normrank" )
syn_args <- list( ls=list( smoothing="density" ) )
syn_formula <- list( ls=~ sex + age + I(age^2) + I(age>50) )
#* synthesize data
imp <- synthpop::syn( dat, method=method, predictor.matrix=pred, k=2000, m=1,
rf.syn_fun=syn_fun, rf.syn_args=syn_args, rf.syn_formula=syn_formula)
summary(imp)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.