How to use the 4 different norm() functions in R

In this video I show you how to use the 4 different norm()-functions in R.
* rnorm() can be used to draw random numbers from a normal distribution.
* dnorm() helps you to understand the probability density function of that distribution
* pnorm() gives you the cumulative probability of a value from that distribution
* qnorm() tells you what value you need to be in a certain quantile of that distribution

⏱ Time Stamps ⌚

0:00 - Intro and overview
0:29 - IQ example
1:22 - rnorm()
2:44 - properties of the normal distribution
4:24 - dnorm()
5:38 - pnorm()
7:46 - qnorm()
9:18 - ggplot() visulizations

[qwerty]

Usefull stuff! The new style of more live console work alongside some preprepared chunks works out well!

[pierre-alexandrequittet]

Just discovered your videos, they're so GREAT thank you for sharing !

[viniemeralda]

Thank you very much! This is very helpful

[FiddiDinoTobi]

So let's assume that stocks are normally distributed. Is the pnorm for finding what the probability of me either earning or losing on a stock is? Like say what is the possiblity of earning 5 million on a given stock. and qnorm is for example, what is probability that I will get a return of 10% on a given stock?

[dannyhd]

I am impressed . But are you a teacher at uni trier ? your voice resembles to my video tutorials
.

[urbisurbis]

Thanks a lot for a very useful content! As a beginner in R, I wonder is there any way how to generate random integers (whole numbers like 1, 2, 3, 4 ) instead of fractions (like 1.2375, 2.3158, 3.1425 etc.) from a normal distribution? When the mean and SD is predetermined. rnorm(N, mean, SD) is very useful, but can't figure out yet how to get integers only.