Question

如果我的所有数据都是一长串逗号分隔值（持续时间），那么R可以通过

给我很多信息

summary(dat)

问题

R可以用置信区间绘制数据图吗？

Answer 1

正如第一个谷歌比赛所述，你可以尝试做：

n<-50
x<-sample(40:70,n,rep=T)
y<-.7*x+rnorm(n,sd=5)
plot(x,y,xlim=c(20,90),ylim=c(0,80))
mylm<-lm(y~x)
abline(mylm,col="red")
newx<-seq(20,90)
prd<-predict(mylm,newdata=data.frame(x=newx),interval = c("confidence"), 
level = 0.90,type="response")
lines(newx,prd[,2],col="red",lty=2)
lines(newx,prd[,3],col="red",lty=2)

当然这是可能性之一另一个例子是：

x <- rnorm(15)
y <- x + rnorm(15)
new <- data.frame(x = seq(-3, 3, 0.5))

pred.w.clim <- predict(lm(y ~ x), new, interval="confidence")


# Just create a blank plot region with axes first. We'll add to this
plot(range(new$x), range(pred.w.clim), type = "n", ann = FALSE)


# For convenience
CI.U <- pred.w.clim[, "upr"]
CI.L <- pred.w.clim[, "lwr"]

# Create a 'loop' around the x values. Add values to 'close' the loop
X.Vec <- c(new$x, tail(new$x, 1), rev(new$x), new$x[1])

# Same for y values
Y.Vec <- c(CI.L, tail(CI.U, 1), rev(CI.U), CI.L[1])

# Use polygon() to create the enclosed shading area
# We are 'tracing' around the perimeter as created above
polygon(X.Vec, Y.Vec, col = "grey", border = NA)


# Use matlines() to plot the fitted line and CI's
# Add after the polygon above so the lines are visible
matlines(new$x, pred.w.clim, lty = c(1, 2, 2), type = "l", col =  
c("black", "red", "red"))

Example 1

Example 2

从1D数据中获得置信区间的情节？

1 个答案: