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There are by now a number of these missing data related functions. I have already given them a prefix, miss_. As such, they constitute a small but very useful set of functions:
miss_amount, for overall counts of missing data.
miss_by_var, missing data for each variable.
miss_by_case, missing data for each case.
miss_plot, for visualizing patterns of missing data in multiple ways.
miss_pattern, calculates missing data patterns.
miss_analyze, for analyzing whether missingness is related to variables ('missing at random').
miss_complexity, returns complexity metrics for the missing data.
miss_matrix, returns the missing data matrix used for the above, but which could be used for other purposes.
miss_add_random, adds random missing data to a data frame. I'm considering renaming this to miss_add and add functionality for adding non-random missing data. An alternative is to add some other functions e.g. miss_add_nonrandom to which one could somehow indicate how missingness is to be induce, perhaps via formulas or functions.
miss_impute, wrapper function to impute missing data using VIM:irmi. Is able to deal with some problems, such as which subsets of the data one wants to impute.
In general, I am pretty happy with the current selection of functions, not much functionality is missing.
The text was updated successfully, but these errors were encountered:
There are by now a number of these missing data related functions. I have already given them a prefix,
miss_
. As such, they constitute a small but very useful set of functions:miss_amount
, for overall counts of missing data.miss_by_var
, missing data for each variable.miss_by_case
, missing data for each case.miss_plot
, for visualizing patterns of missing data in multiple ways.miss_pattern
, calculates missing data patterns.miss_analyze
, for analyzing whether missingness is related to variables ('missing at random').miss_complexity
, returns complexity metrics for the missing data.miss_matrix
, returns the missing data matrix used for the above, but which could be used for other purposes.miss_add_random
, adds random missing data to a data frame. I'm considering renaming this to miss_add and add functionality for adding non-random missing data. An alternative is to add some other functions e.g. miss_add_nonrandom to which one could somehow indicate how missingness is to be induce, perhaps via formulas or functions.miss_impute
, wrapper function to impute missing data usingVIM:irmi
. Is able to deal with some problems, such as which subsets of the data one wants to impute.In general, I am pretty happy with the current selection of functions, not much functionality is missing.
The text was updated successfully, but these errors were encountered: