logisticModule2: logisticModule2: Shiny modulde server for logistic regression...

Description Usage Arguments Details Value Examples

View source: R/regress.R

Description

Shiny modulde server for logistic regression for reactive data.

Usage

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logisticModule2(
  input,
  output,
  session,
  data,
  data_label,
  data_varStruct = NULL,
  nfactor.limit = 10,
  design.survey = NULL,
  default.unires = T,
  limit.unires = 20
)

Arguments

input

input

output

output

session

session

data

reactive data

data_label

reactive data label

data_varStruct

List of variable structure, Default: NULL

nfactor.limit

nlevels limit in factor variable, Default: 10

design.survey

reactive survey data. default: NULL

default.unires

Set default independent variables using univariate analysis, Default: T

limit.unires

Change to default.unires = F if number of independent variables > limit.unires, Default: 20

Details

Shiny modulde server for logistic regression.

Value

Shiny modulde server for logistic regression.

Examples

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library(shiny);library(DT);library(data.table);library(jstable)
ui <- fluidPage(
   sidebarLayout(
   sidebarPanel(
     regressModuleUI("logistic")
   ),
   mainPanel(
     DTOutput("logistictable")
   )
 )
)

server <- function(input, output, session) {

  data <- reactive(mtcars)
  data.label <- reactive(jstable::mk.lev(mtcars))

  out_logistic <- callModule(logisticModule2, "logistic", data = data, data_label = data.label,
                           data_varStruct = NULL)

  output$logistictable <- renderDT({
    datatable(out_logistic()$table, rownames=T, caption = out_logistic()$caption)
  })
}

leevenstar/jstest documentation built on Dec. 23, 2021, 12:16 a.m.