I have a weird problem with drawing a graph with confidence intervals for predictions.
Here is my code:
rm(list = ls())
cat("14")
set.seed(1)
file.name <- "testRegresji.pdf"
count = 20
pdf(file.name)
x <- runif(count, 0, 2)
y <- x + rnorm(count)
model <-lm(y ~ x)
xlab.label <- paste("y = ", format(model$coeff[1], digits = 4),
"+", format(model$coeff[2], digits = 4),
"* x + e")
plot(x, y, xlab = xlab.label, ylab = "", main = paste("n = ", count), col = 8)
matlines(x, predict(model, interval = "confidence"),
type = 'l', lty = c(1, 2, 2), col = "black")
abline(0, 1, col = grey(0.4), lwd = 3)
dev.off()
shell.exec(paste(getwd(), "/", file.name, sep = ""))
The resulting graph looks very weird with too many random lines for confidence intervals, although the result of predict function are correct.
Here's the screenshot of the graph:
What could be the issue? Thanks a lot for any help!
question from:
https://stackoverflow.com/questions/66053117/lines-function-returning-too-many-random-lines 与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…