Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- set.seed(1)
- heigths <- rnorm(n = 1000, mean = 1.70, sd = .1)
- plot(density(heigths), main = 'Simulating Heights')
- set.seed(1)
- heigths2 <- rnorm(n = 10000, mean = 1.70, sd = .1)
- lines(density(heigths2), col = 'red', lwd =2)
- set.seed(1)
- heigths2 <- rnorm(n = 10000, mean = 1.70, sd = .1)
- lines(density(heigths2), col = 'blue', lwd =2)
- c(qnorm(.05, mean = 1.70, sd = .1),qnorm(.95, mean = 1.70, sd = .1))
- quantiles <- seq(0, 1, by = .01)
- qvalues <- qnorm(quantiles)
- plot(qvalues,
- type = "l", # We want a line graph
- xaxt = "n", # No x-axis
- xlab="Probability Density",
- ylab="Z-scores")
- z_values=seq(0,1,by=0.05)
- pnorm(z_values)
Advertisement
Add Comment
Please, Sign In to add comment