dlookr (version 0.5.0)

summary.univar_category: Summarizing univar_category information

Description

print and summary method for "univar_category" class.

Usage

# S3 method for univar_category
summary(object, na.rm = TRUE, ...)
# S3 method for univar_category
print(x, ...)

Arguments

object

an object of class "univar_category", usually, a result of a call to univar_category().

na.rm

logical. Specifies whether to include NA when performing a chi-square test. The default is TRUE, where NA is removed and aggregated.

...

further arguments passed to or from other methods.

x

an object of class "univar_category", usually, a result of a call to univar_category().

Value

An object of the class as individual variables based list. The information to examine the relationship between categorical variables is as follows each components.

• variable : factor. The level of the variable. 'variable' is the name of the variable.

• statistic : numeric. the value the chi-squared test statistic.

• p.value : numeric. the p-value for the test.

• df : integer. the degrees of freedom of the chi-squared test.

Details

print.univar_category() displays only the information of variables included in univar_category. The "variables" attribute is not displayed.

See Also

plot.univar_category.

Examples

# NOT RUN {
library(dplyr)

# Calculates the all categorical variables
all_var <- univar_category(heartfailure)

# Print univar_category class object
all_var

# Calculates the only smoking variable
all_var %>% 
  "["(names(all_var) %in% "smoking")

smoking <- univar_category(heartfailure, smoking)

# Print univar_category class object
smoking

# Filtering the case of smoking included NA 
smoking %>%
  "[["(1) %>% 
  filter(!is.na(smoking))

# Summary the all case : Return a invisible copy of an object.
stat <- summary(all_var)

# Summary by returned object
stat

# }