BiVariAn (version 1.0.3)

continuous_corr_test: Bivariate analysis for correlation tests

Description

Automatic correlation analyses for continuous variables with one variable as reference. Variable names can be assigned using table1::label() function.

Usage

continuous_corr_test(
  data,
  referencevar,
  alternative = NULL,
  flextableformat = TRUE,
  corr_test = c("all", "pearson", "spearman", "kendall")
)

Value

A dataframe or flextable containing pvalues for correlation tests along with the normality and homocedasticity tests p values

Arguments

data

Data frame from which variables will be extracted.

referencevar

Reference variable. Must be a continuous variable.

alternative

Alternative for cor.test. Must be either "two.sided", "geater" or "less"

flextableformat

Logical operator to indicate the output desired. Default is TRUE. When FALSE, function will return a dataframe format. Because the function calculates different statistics for each correlation (specially in kendall correlation test), it may take some time to run. You can select individual variables using the pipe operator and the select function to run correlations only on the selected variables.

corr_test

Correlation test to be performed

Examples

# example code

data <- data.frame(group = rep(letters[1:2], 15),
var1 = rnorm(30, mean = 15, sd = 5),
var2 = rnorm(30, mean = 20, sd = 2),
var3 = rnorm(30, mean = 10, sd = 1),
var4 = rnorm(30, mean = 5, sd =2))

data$group<-as.factor(data$group)

continuous_corr_test(data = data, referencevar = "var1", flextableformat = FALSE)

# Set names to variables
if(requireNamespace("table1")){
table1::label(data$var2) <- "Variable 2"
table1::label(data$var3) <- "Variable 3"
table1::label(data$var4) <- "Variable 4"

continuous_corr_test(data = data, referencevar = "var1", flextableformat = FALSE)
}

# Example performing correlation test for only one variable
if(requireNamespace("dplyr")){
library(dplyr)
continuous_corr_test(data = data %>% select("var1","var2"),
 referencevar = "var1", flextableformat = FALSE, corr_test = "pearson")
}

# Example performing only pearson correlation test
continuous_corr_test(data = data, referencevar = "var1",
 flextableformat = FALSE, corr_test = "pearson")