A platform for interactive data analysis designed to simplify development, deployment, interaction, and exploration (TEDDIE). The package enables users to create customized analyses and deploy them to end users, who can perform interactive analyses and export results to RTF or HTML files. It allows developers to focus on R code for analysis rather than managing HTML or Shiny application code.
Biometric Exploratory Analysis Creation House (BEACH) is a shiny app that provides automation platform for users.
You can install and load some packages before running BEACH like so:
dep.packages <- c("shiny", "DT", "haven", "xtable", "plyr", "sas7bdat", "WriteXLS");
na.packages <- dep.packages[!dep.packages %in% installed.packages()];
if (length(na.packages)>0) install.packages(na.packages);
devtools::install_github('DanniYuGithub/RTF2', force=TRUE);
if(!"sas7bdat.parso" %in% installed.packages()) devtools::install_github('BioStatMatt/sas7bdat.parso', force=TRUE);
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager");
BiocManager::install("Heatplus");
BiocManager::install("multtest");
library(animation)
library(beanplot)
library(corrplot) #create heatmap for correlation matrix#
library(DT) #for render table
library(grid)
library(gridExtra)
library(haven) #for loading SAS datasets
library(Heatplus) #creating customized heatmaps with covariate profile#
library(Hmisc)
library(lattice)
library(latticeExtra)
library(lmtest)
library(multtest)
library(plotrix) #use 2D-heatmap#
library(plyr)
library(sas7bdat.parso)
library(shiny)
library(sp)
library(survival) #time to event analysis#
library(vioplot)
library(xtable)
library(readxl)
library(WriteXLS)
This is a basic example which shows you how to solve a common problem:
library(BEACH)
## basic example code
run_app()