EDA: Exploratory Data Analysis

In alanarnholt/PASWR: Probability and Statistics with R

Exploratory Data Analysis

Description

Function that produces a histogram, density plot, boxplot, and Q-Q plot

Usage

EDA(x, trim = 0.05, dec = 3)

Arguments

x	is a numeric vector where NAs and Infs are allowed but will be removed.
trim	is a fraction (between 0 and 0.5, inclusive) of values to be trimmed from each end of the ordered data such that if trim = 0.5, the result is the median.
dec	is a number specifying the number of decimals

Details

The function EDA() will not return console window information on data sets containing more than 5000 observations. It will, however, still produce graphical output for data sets containing more than 5000 observations.

Value

Function returns various measures of center and location. The values returned for the quartiles are based on the default R definitions for quartiles. For more information on the definition of the quartiles, type ?quantile and read about the algorithm used by type = 7.

Author(s)

Alan T. Arnholt <[e-mail]>

Examples

EDA(x = rnorm(100))
# Produces four graphs for the 100 randomly
# generated standard normal variates.

alanarnholt/PASWR documentation built on June 2, 2022, 5:19 a.m.