afh.tab: Dependancy tables

Description Usage Arguments

Description

Prints out tables for report out of data frame p.df, which is the result of the chi.2.exp function. Bonferroni's method is used here, which is used to correct for multiple comparisons

Usage

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afh.tab(x, alpha = 0.05, outcome = "outcome", exposure = "exposure",
  p.value = "p.value", craemer = "craemer", df = "df", n = "n",
  statistic = "statistic", lateX = TRUE, markDown = FALSE,
  warnings = "warnings", sonder.warnings = TRUE, geen = "None",
  tp = "H", tabdir = NULL, verbose = FALSE, bonferroni = TRUE,
  latSave = TRUE)

Arguments

x

Data frame, which is the outcome of chi.2.exp

alpha

Numeric to be used in Bonferroni

outcome

Character vector referring to the column containing outcomes

exposure

Character vector referring to the column containing exposures

p.value

Character vector referring to the column containing the probability value

craemer

Character vector referring to the column containing creamer values

df

Character vector referring to the column containing degrees of freedom

n

Character vector referring to the column containing the total number of observations

statistic

Character vector referring to the column containing the calculated chi2 statistic

lateX

Logical that prints a LaTeX table if TRUE

markDown

Logical that creates a table for use in MarkDown

warnings

Character referring to the column containing warnings

sonder.warnings

Logical referring to no warnings being present if TRUE

geen

Character vector to indicating that no warnings are present

tp

Character vector for the table placement

tabdir

Directory of the table

verbose

Display function messages

bonferroni

Logical that makes a bonferroni adjustment when TRUE

latSave

Logical that saves the tables in the Tabelle forder in your working directory


Boshoffsmit/novaReport documentation built on May 6, 2019, 8 a.m.