- write shiny app for querying twitter
- write shiny app (or tutorial) for getting api access for a new user.
library(shiny) | |
shinyServer(function(input,output){ | |
output$distPlot<-reactivePlot(function(){ | |
dist<-rnorm(input$obs) | |
p<-qplot(dist,binwidth=0.1)+geom_vline(xintercept=mean(dist))+theme_dpi() | |
p<-p+coord_cartesian(xlim=c(-4,4))+geom_vline(xintercept=median(dist),color=I("red")) | |
print(p) | |
}) |
MLE Binomial Shiny App | |
Base R code created by Gail Potter | |
Shiny app files created by Gail Potter |
- yuan's 2014 jasa - graphical models
- mcmc resources
- reversible jump mcmc
- normalized random measures with independent increments; Bayesian non-parametrics; extending the dirichlet process
- billiards & thermodynamics - tim chumley et al - http://arxiv.org/abs/1207.5878
As far as I know Rstudio does not count words or characters at the moment, which would be useful particularly when writing Rmarkdown.
This is a quick shortcut using word_count
and character_count
functions from qdap
package. See below for two wrapper functions that simplify their use.
library("qdap")
Just select and copy the text to the clipboard and then run in the console:
- wikipedia article
- tutorial
- Bishop, ch10
- Beal's thesis
Cancers are genetically heterogeneous. Current sampling methods often fail to account for tumor heterogeneity. Failng to account for heterogeneity may contribute to inadequate therapeutic decisions and treatment failures.
Why should everyone know about your idea? How will it reach beyond your work & benefit the community?
Tumor heterogeneity has far-reaching implications in management of cancer cases. By characterizing tumor heterogeneity within a single patient's cancer, we can increase treatment accuracy and effectiveness.
29 August 2016: 20' on prelim manuscript.
https://ropensci.org/blog/2014/04/17/plotly/
https://github.com/mbostock/d3/wiki/Gallery
http://christophergandrud.github.io/networkD3/
- R package for interacting with D3 networks & dendrograms