Shiny (www.rstudio.com/shiny) based data explorer with report templates based on field selection.
First, install necessary packages:
list.of.packages <- as.character(expression(knitr, ggplot2, shiny, shinyAce, htmlwidgets, readxl, sqldf, DT, sparkline, brew, plyr, highr, rpivotTable, survival, lme4, gmodels, gplots, gridExtra, vcd, ez))
new.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])]
if(length(new.packages)) install.packages(new.packages)
Run from GitHub:
shiny::runGitHub(repo = "shiny-explorer", username = "prettynumbers")
Run from downloaded source:
shiny:::runApp("../shiny-explorer")
All templates undergo (in order):
- gsub for mydf, numeric, factor1, etc.
- brew
- knit2html
- shiny
- shinyAce
- tabplot
- gmodels
- vcd
- ...