#'Logistic Model Development
#'
#'Give you ui to create logistic model.
#' @author JIshnu
#' @param See the example
#' @param Note- please download woe package from GitHub using "install_github('riv','tomasgreif')". After installing the correct package if the UI closes automatically please restart the rstudio.
#' @return you can download the model and all the performance
#' @example example.R
#' @export
LogisticModelDevelopment<-function (var)
{
data("empty_dat")
library(shiny)
library(shinythemes)
library(DT)
library(devtools)
library(woe)
library(Hmisc)
library(data.table)
library(car)
library(sqldf)
library(ROCR)
library(ineq)
library(Hmisc)
library(pryr)
library(scales)
library(shinythemes)
library(plotly)
library(berryFunctions)
library(rhandsontable)
m = var
appDir <- system.file("CODE", package = "LogisticModelDevelopment")
print(appDir)
if (appDir == "") {
stop("Could not find example directory. Try re-installing `LogisticModelDevelopment`.", call. = FALSE)
}
shiny::runApp(appDir, display.mode = "normal")
# runApp(appDir = './code')
}
#'decile
#'
#'will decile the data.
#' @export
decile <- function(x) {
deciles <- vector(length = 10)
for (i in seq(0.1, 1, .1)) {
deciles[i * 10] <- quantile(x, i, na.rm = T)
}
return (ifelse(x < deciles[1], 1,
ifelse(
x < deciles[2], 2,
ifelse(x < deciles[3], 3,
ifelse(
x < deciles[4], 4,
ifelse(x < deciles[5], 5,
ifelse(
x < deciles[6], 6,
ifelse(x < deciles[7], 7,
ifelse(x < deciles[8], 8,
ifelse(x <
deciles[9], 9, 10)))
)))))))}
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