install.packages(c("lpcde","MCPAN","np","pbmcapply",
"pglm","progress","robustbase"),
repos="https://cran.wu.ac.at/")Interactive Seminar Details
Preparing for the Interactive Seminar
I want to try something a bit different for this seminar, namely, an “interactive presentation” that you can fully participate in if you wish.
This requires you to bring a laptop to the seminar with a few items pre-installed (click on links to get started):
R and RStudio Desktop
A few supporting R packages from CRAN:
In the R or RStudio console copy-and-paste the following (first navigate your pointer to the code block below, then click on the clipboard in the upper right corner of the code block):
The R package bkcde from GitHub (follow install instructions in the GitHub repository)
If you experience issues with the install, please ask an R-savvy colleague or grad student for assistance, or simply sit next to someone in the seminar who has successfully completed these tasks.
Once you are successful however, you can participate in an interactive seminar where you can run code copy-and-pasted directly from the presentation, and will leave the seminar able to test out the proposed methods on data of your choice.
To test whether or not you have been successful in setting up your laptop, fire up RStudio and copy-and-paste the following commands in the R console and hit the return key:
library(bkcde)
set.seed(42)
n <- 25
x <- runif(n)
y <- rbeta(n,1+x,2-x)
f <- bkcde(x=x,y=y)
summary(f)
plot(f)Please don’t waste time on this if any of these tasks don’t work for you, as we can always resolve them at the beginning of (or after) the seminar.
Finally, thanks for indulging me on this! Let’s see if the gods of technology are going to smile upon us or not.