summary.univar_numeric: Summarizing univar_numeric information

View source: R/univariate.R

summary.univar_numericR Documentation

Summarizing univar_numeric information

Description

print and summary method for "univar_numeric" class.

Usage

## S3 method for class 'univar_numeric'
summary(object, stand = c("robust", "minmax", "zscore"), ...)

## S3 method for class 'univar_numeric'
print(x, ...)

Arguments

object

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

stand

character Describe how to standardize the original data. "robust" normalizes the raw data through transformation calculated by IQR and median. "minmax" normalizes the original data using minmax transformation. "zscore" standardizes the original data using z-Score transformation. The default is "robust".

...

further arguments passed to or from other methods.

x

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

Details

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

Value

An object of the class as indivisual variabes based list. The statistics returned by summary.univar_numeric() are different from the statistics returned by univar_numeric(). univar_numeric() is the statistics for the original data, but summary. univar_numeric() is the statistics for the standardized data. A component named "statistics" is a tibble object with the following statistics.:

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

  • n : number of observations excluding missing values

  • na : number of missing values

  • mean : arithmetic average

  • sd : standard deviation

  • se_mean : standard error mean. sd/sqrt(n)

  • IQR : interquartile range (Q3-Q1)

  • skewness : skewness

  • kurtosis : kurtosis

  • median : median. 50% percentile

See Also

plot.univar_numeric.

Examples


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

# Print univar_numeric class object
all_var

# Calculates the platelets, sodium variable
univar_numeric(heartfailure, platelets, sodium)

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

# Summary by returned object
stat

# Statistics of numerical variables normalized by Min-Max method
summary(all_var, stand = "minmax")

# Statistics of numerical variables standardized by Z-score method
summary(all_var, stand = "zscore")



dlookr documentation built on May 29, 2024, 2 a.m.