Prof. Eric A. Suess's website

Prof. Eric A. Suess

Department of Statistics and Biostatistics

School of Engineering

CSU East Bay

25800 Carlos Bee Blvd.

Hayward, CA 94502

510-885-3879

email: eric.suess@csueastbay.edu

office: North Science 319

gmail csueb gmail my card mycsueb

Welcome

You have made it to my new academic website. I have started to use markdown and Mkdocs.

On this site you will find my postings related to the classes I am currently teaching and have taught in the past. I have included some personal information and links to my research work. Also, there are links to projects I am working on within the Department of Statistics and Biostatistics.

If you are interested in what Statistics is, please check out the This is Statistics website. It has lots of information for highschool students and college undergraduates about careers in statistics. It also has information about being statistically litterate in todays job market. Here is a link to an excellent video This is Statistics.

Some further information:

Our book has been published by Springer-Verlag. Here is the link to the webpage with supporting materials. See the psgs link. Here is a link to psgs on amazon.

I am currently working on some research in the areas of Data Visualization, Statistical Machine Learning, Deep Learning, Time Series and Bayesian Analysis, using R and Python.

Welcome

I love to use open source software, usually in linux and bsd. Test.

My Interests

  • R, Python, Julia
  • Data Science
  • Statistical Machine Learning
  • Natural Language Processing
  • Deep Learning
  • Visualization
  • Computational Statistics
  • Bayesian Statistics
  • Time Series Analysis
  • Statistics Education
  • Big Data
  • Distributed Data Storage
  • Parallel Processing
  • Open Source Software
  • gnu/linux, manjaro, bsd, OpenBSD

R code

 library(hexSticker)

 library(lattice)

 counts <- c(18,17,15,20,10,20,25,13,12)
 outcome <- gl(3,1,9)
 treatment <- gl(3,3)
 bwplot <- bwplot(counts ~ outcome | treatment, xlab=NULL, ylab=NULL, 
      cex=.5, scales=list(cex=.5), par.strip.text=list(cex=.5))
 sticker(bwplot, package="CSUEB Data Science", p_size=12, s_x=1.05, 
      s_y=.75, s_width=2, s_height=1.5, h_fill="#f9690e", 
      h_color="#f39c12", filename="csueb-ds.png")

 library(ggplot2)

 p <- ggplot(aes(x = mpg, y = wt), data = mtcars) + geom_point()
 p <- p + theme_void() + theme_transparent()

 sticker(p, package="CSUEB Statistics", p_size=12, s_x=1, s_y=.75, 
      s_width=1.3, s_height=1, h_fill="#f9690e", h_color="#f39c12", 
      filename="csueb-stat.png")

 sticker(p, package="CSUEB Biostatistics", p_size=12, s_x=1, 
      s_y=.75, s_width=1.3, s_height=1, h_fill="#f9690e", 
      h_color="#f39c12", filename="csueb-biostat.png")

Linux code, before installing the Tidyverse

 sudo apt install libcurl4-openssl-dev libssl-dev libxml2-dev

Mkdocs help

  • mkdocs new [dir-name] - Create a new project.
  • mkdocs serve - Start the live-reloading docs server.
  • mkdocs build - Build the documentation site.
  • mkdocs help - Print this help message.

Mkdocs project layout

mkdocs.yml    # The configuration file.
docs/
    index.md  # The documentation homepage.
    ...       # Other markdown pages, images and other files.