gazeCont: Summary function for continuous variable

In autoReg: Automatic Linear and Logistic Regression and Survival Analysis

Summary function for continuous variable

Description

Summary function for continuous variable

Usage

gazeCont(
  data,
  x,
  y = NULL,
  max.ylev = 5,
  digits = 1,
  show.total = FALSE,
  show.n = FALSE,
  show.missing = FALSE,
  show.stats = TRUE,
  show.p = TRUE,
  method = 1,
  origData,
  ...
)

Arguments

data	A data.frame
x	A name of variable
y	A name of variable, either continuous or categorical
max.ylev	max.ylev An integer indicating the maximum number of levels of grouping variable ('y'). If a column have unique values less than max.ylev it is treated as a categorical variable. Default value is 5.
digits	integer indicating the number of decimal places
show.total	logical. Whether or not show total column
show.n	logical. Whether or not show N column
show.missing	logical. Whether or not show missing column
show.stats	logical. Whether or not show stats column
show.p	logical. Whether or not show p column
method	method An integer indicating methods for continuous variables. Possible values in methods are 1 forces analysis as normal-distributed 2 forces analysis as continuous non-normal 3 performs a Shapiro-Wilk test or nortest::ad.test to decide between normal or non-normal Default value is 1.
origData	A data.frame containing original data
...	Further arguments

Value

An object of class "data.frame" or "tibble"

Examples

gazeCont(mtcars,"hp")
gazeCont(mtcars,"hp","mpg")
require(moonBook)
gazeCont(acs,"log(age)")
gazeCont(acs,"age",method=2)
gazeCont(acs,"age","EF",method=2)
gazeCont(acs,"age","Dx",method=1)
gazeCont(acs,"age","Dx",show.p=TRUE,method=3)

autoReg documentation built on Nov. 14, 2023, 9:07 a.m.