ggplot2 visualization to support which imputation method to choose
compare_imp(df, origin, target)Arguments
- df
data.frame with origin variable and the new one with imputations
- origin
character value - the name of origin variable with values before any imputations
- target
character vector - names of variables with applied imputations
Value
ggplot2 object
Examples
library(miceFast)
library(ggplot2)
data(air_miss)
air_miss$Ozone_imp <- fill_NA(
x = air_miss,
model = "lm_bayes",
posit_y = 1,
posit_x = c(4, 6),
logreg = TRUE
)
air_miss$Ozone_imp2 <- fill_NA_N(
x = air_miss,
model = "pmm",
posit_y = 1,
posit_x = c(4, 6),
logreg = TRUE
)
compare_imp(air_miss, origin = "Ozone", "Ozone_imp")
compare_imp(air_miss, origin = "Ozone", c("Ozone_imp", "Ozone_imp2"))
