9.6 Missing Values in Rattle

In Rattle we use mice::md.pattern() to generate a table of the patterns of missing values. Each row corresponds to a pattern of missing values with 1 representing not missing and 0 representing missing. The first column is the count of times this pattern (combination of columns with missing data) occurs - the number of observations. The final column is the could of the number of variables with missing values. The final row the number of observations with missing values for the particular variable.



Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0