object1 <- rnorm(500,mean=1,sd=0.1)
object2 <- rnorm(500,mean=2,sd=0.1)
object3 <- rnorm(500,mean=3,sd=0.1)

estimations <- data.frame(object1,object2,object3)
colnames(estimations) <- 1:3

SEframe <- data.frame()
SEframe <- rbind(SEframe,c(1,1,mean(object1),0.1))
SEframe <- rbind(SEframe,c(2,2,mean(object2),0.15))
SEframe <- rbind(SEframe,c(3,3,mean(object3),0.25))

colnames(SEframe) <- c("ID","True.value","Estimated.value","SE")

estMelted <- melt(estimations)
estMelted$variable <- as.factor(estMelted$variable)

p <- ggplot(estMelted, aes(x=variable, y=value)) +
  geom_violin()