The Number of Missing

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Count, Valid N, and Missing Values

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1. Number of missing values vs. number of non missing values

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Thanks for telling us about the problem. Return to Book Page. This is about the running, the drinking, the standing still, and the unquantifiable missing. The World Trade Center is the battlefield: Ghosts haunt the guilty conscience, and to be alive is not necessarily to be among the living. The prose is lean and the air is thick. Adam Berlin might well be the Norman Mailer of his generation. Binnie Kirshenbaum, author of The Scenic Route Paperback , pages.

Gallery of Missing Data Visualisations

Published November 1st by Spuyten Duyvil first published July 1st To see what your friends thought of this book, please sign up. To ask other readers questions about The Number of Missing , please sign up. Be the first to ask a question about The Number of Missing. Lists with This Book. This book is not yet featured on Listopia. Nov 15, Haven Gordon rated it it was amazing. The loss, devastation, and the ability to cope come heavily into play as the characters try to move on past the deaths of their loved ones.

Their emotions seemed so real and so raw that it left me feeling gutted at times.

This was truly a good book and I highly recommend it. I won this book from a Goodreads First Reads giveaway and while the contest did not shape my review, I am incredibly grateful for the chance to have read it! Aug 28, Erika Dreifus added it Shelves: Check out my interview with the author about this book.

Interview based on complimentary advance reading copy provided by the publisher. I really became engrossed in this book. I couldn't put it down. Read it in a matter of hours. Dec 13, Amy O'tinger rated it it was amazing Shelves: I received a free copy of this book from the Goodreads First Reads.

Utterly devastating, and beautiful. Fantastic, but hard, read. Roy Wano rated it it was amazing Nov 26, Krystal rated it it was amazing Feb 22, Kasia rated it it was amazing Dec 28, Ruth Yang rated it it was ok Nov 08, Bismarck Martinez rated it really liked it Apr 05, You can download mvpatterns over the internet from within Stata by typing search mvpatterns see How can I use the search command to search for programs and get additional help?

The command mvpatterns produces output for all variables in the dataset, for missing data patterns across a subset of variables, a variable list can be included, for example, mvpatterns landval improval totval. The output produced by mvpatterns is shown below. The first table lists the variables, their storage type type , the number of observations obs , the number of missing values mv , and the variable label if the variables has one. The second table contains the information on the pattern of missing values.

The first block of columns in the output shows the patterns of missing data.

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The columns follow the same order as the variable list in the first table, so that the first column in the output below represents landval , the second improval , and so on. Based on the information in the second table we know that there are four observations with no missing values, two cases missing on just the variable salepric , and one observation with missing values on improval , salepric and saltoapr.

Exploring patterns with UpSetR

The examples above all work regardless of whether the variables of interest i. When all of the variables you wish to check for missing values are numeric we can use a program called misschk to simplify the steps of examining the missing data in our dataset. You can download misschk from within Stata by typing search misschk see How can I use the search command to search for programs and get additional help?

Below is the command for misschk.

We have listed all five of the variables in our dataset in the variable list after the misschk command. However, we could have just left the list of variables blank i. The variable list is only necessary if we want to run misschk on only some of the variables in our dataset. These two variables will be named misspattern and missnumber. The variable misspattern indicates which of the missing data patterns each case follows.

The variable missnumber indicates the number of missing values for each case. The output for misschk consists of three tables. The first table lists the number of missing values, as well as percent missing for each variable, this is similar to the table produced by mdesc in part 1 above.

The second table shows the distribution of missing values. The numbers indicate which variables are missing in that pattern, the underscores represent non-missing observations. For example, from the second table we see that two cases have missing values on variable 1 landval , but complete data on all other variables, and that one case is missing data on variables 2, 4, and 5.

The bottom row shows that four cases are not missing any values at all all underscores. This table shows the same information generated in part three above, but in a slightly different format. The missing data pattern for each case is described in the variable misspattern.

Finally, the third table shows the distribution of the number of missing values per case. This is the same information discussed above in part 2. The number of variables each case is missing is also contained in the variable missnumber. Click here to report an error on this page or leave a comment Your Name required. Your Email must be a valid email for us to receive the report!

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