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Really enjoying RStudio‘s Shiny Developer Conference | Stanford University | January 2016.
Winston Chang just demonstrated profvis, really slick. You can profile code just by wrapping it in a profvis({}) block and the results are exported as interactive HTML widgets.
For example, running the R code below:
if(!('profvis' %in% rownames(installed.packages()))) {
devtools::install_github('rstudio/profvis')
}
library('profvis')
nrow = 10000
ncol = 1000
data <- as.data.frame(matrix(rnorm(nrow*ncol),
nrow=nrow,ncol=ncol))
profvis({
d <- data
means <- apply(d,2,mean)
for(i in seq_along(means)) {
d[[i]] <- d[[i]] - means[[i]]
}
})
Produces an interactive version of the following profile information:
Definitely check it out!
Many other great presentations, this one is just particularly easy to share.
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