analysis.dotplot.all: Generate Outlier Point Plots

In MarcoNiemann/kaggle_house: Analysing House Prices in Ames, Iowa and Build a Sales Price Prediction Model

Description

This function generates outlier point plots (for a description see slide 117 of the DA1 lecture of WT 2015/16).

Usage

analysis.dotplot.all(df, name = "dotplot.all", pdf = T)

Arguments

df	data.frame with the data that should be analyzed for outliers.
name	chr name for the file that can be optionally outputted via this function. The default name will be dotplot.all.
pdf	boolean indicating whether the functions results should be send to a PDF-file or whether they are intended for R- internal use. Default is output to PDF (option true).

Details

The method generates dotplots as univariate outlier detectors for all columns of a given data.frame df. So via the function analysis.dotplot it computes the distribution of values in each given column via table. Based on the distribution the method cpp_valueOccurrencesToPoints will generate visualizable points representing each occurence in the form (x[i], y[i,j]).

Value

List of dotplots (ggplots) for pdf = F or a PDF file in the filesystem for pdf = T.

See Also

analysis.dotplot

cpp_valueOccurrencesToPoints

Examples

KaggleHouse:::analysis.dotplot.all(iris, name = 'iris.dots', pdf = T)

MarcoNiemann/kaggle_house documentation built on May 7, 2019, 2:50 p.m.