dlookr (version 0.6.3)

univar_category: Statistic of univariate categorical variables

Description

The univar_category() calculates statistic of categorical variables that is frequency table

Usage

univar_category(.data, ...)
# S3 method for data.frame
univar_category(.data, ...)

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.

• n : integer. frequency by variable.

• rate : double. relative frequency.

Arguments

.data

a data.frame or a tbl_df.

...

one or more unquoted expressions separated by commas. You can treat variable names like they are positions. Positive values select variables; negative values to drop variables. These arguments are automatically quoted and evaluated in a context where column names represent column positions. They support unquoting and splicing.

Attributes of return object

Attributes of compare_category class is as follows.

• variables : character. List of variables selected for calculate frequency.

Details

univar_category() calculates the frequency table of categorical variables. If a specific variable name is not specified, frequency tables for all categorical variables included in the data are calculated. The univar_category class returned by univar_category() is useful because it can draw chisqure tests and bar plots as well as frequency tables of individual variables. and return univar_category class that based list object.

See Also

summary.univar_category, print.univar_category, plot.univar_category.

Examples

# \donttest{
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

# plot all variables
plot(all_var)

# plot smoking
plot(smoking)

# plot all variables by prompt
plot(all_var, prompt = TRUE)
# }