# Announcements

## Random Numbers and Seeds in R

To explore how R generates randome numbers, we will use the rnorm function. This function draws a random number from a normal distribution with a mean = 0 and standard deviation = 1 (though these can be changed with the mean and sd parameters). With n = 1 we will get two random numbers. rnorm(n = 1) ## [1] 0.2319947 rnorm(n = 1) ## [1] 0.7887316 Each time you run the command you will get a different number.

## Getting Started with R

To get started with the labs, you will need to install R and other supporting applications. Links to download all the software is on the Software page at http://data606.net/software which is available on the Misc menu. Once you are in RStudio, you will need to install a number of R packages using the following two commands: install.packages(c('openintro','OIdata','devtools','ggplot2','psych','reshape2', 'knitr','markdown','shiny')) devtools::install_github("jbryer/DATA606") Note that this course used to be listed as IS 606, hence the different package name.

## Welcome to DATA606!

Welcome to DATA606! My name is Dr. Jason Bryer and I will be your instructor for this semester. In addition to teaching this course, I am an Executive Director at Excelsior College where I am currently working on a Department of Education grant to develop a Diagnostic Assessment and Achievement of College Skills (see www.DAACS.net for more information). Couple of important notes as you get started: The course syllabus is on Github here: https://data606.