Nothing
# From Pedro Emmanuel Alvarenga Americano do Brasil emmanuel.brasil@gmail.com
require(rms)
set.seed(1)
n <- 400
n1 <- 300; n2 <- 100
data <- data.frame(outcome=c(rnorm(n1, mean = .052, sd = .005),
rnorm(n2, mean = .06, sd = .01)),
v2=sample(seq(20,80,5),n,T),
v3=sample(seq(60,150,1),n,T),
v4=c(rnorm(n1, mean = 80, sd = 10),
rnorm(n2, mean = 60, sd = 15)),
v5=sample(c('M','M','F'),n,T),
v6=c(rnorm(n1, mean = 80, sd = 10),
rnorm(n2, mean = 120, sd = 30)))
# checking data
head(data)
# setting datadist
dd <- datadist(data); options(datadist="dd")
# generating missings
m <- function() sample(1:n, 20, FALSE)
data$v2[m()] <- NA
data$v3[m()] <- NA
data$v4[m()] <- NA
data$v5[m()] <- NA
data$v6[m()] <- NA
plot(naclus(data))
# Imputing
imp <- aregImpute(~ outcome + v2 + v3 + v4 + v5 + v6, data, n.impute=10)
# fitting
f <- fit.mult.impute(outcome ~ v6 + v2 + rcs(v3) + v5 * rcs(v4),
ols, imp, data, fit.reps=TRUE)
coef(f)
w <- NULL
for(i in 1 : 10) w <- rbind(w, coef(f$fits[[i]]))
w
s <- summary(f)
s
unclass(s) # Effects are non-zero but small
plot(s)
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.