TitanicNA

This data set provides information on the fate of passengers on the fatal maiden voyage of the ocean liner Titanic, summarized according to economic status (class), sex, age and survival. Twenty percent of values are missing completely at random on each variable.

datasets

Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with and in PCA or MCA.

Francois Husson

missMDA

Handling Missing Values with Multivariate Data Analysis

TitanicNA function

A data frame with 2201 observations on the following 4 variables:
CLASS
0 = crew, 1 = first, 2 = second, 3 = third, denoting the economic status of the subject
AGE
1 = adult, 0 = child, denoting if the subject is an adult or a child
SEX
1 = male, 0 = female, denoting the sex of the subject
SURV
1 = yes, 0 = no, denoting if the passenger lived through the fatal maiden voyage of the ocean liner Titanic

TitanicNA: Categorical data set with missing values: Survival of passengers on the Titanic

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