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Reports item-wise missingness, respondent-wise missingness, missing-data patterns, listwise and pairwise deletion counts, and scale scoring missing rules. No imputation is performed.

Usage

missing_data_report(data, instrument = NULL, variables = NULL)

Arguments

data

A data.frame of responses.

instrument

Optional sframe object.

variables

Optional response columns. Defaults to instrument item IDs when an instrument is supplied, otherwise all columns.

Value

An object of class sframe_missing_data_report.

Examples

demo <- sframe_demo_data()
mr <- missing_data_report(demo$responses, demo$instrument)
mr$item_missing
#>              variable missing_n missing_pct valid_n
#> visit_type visit_type         0        0.00     120
#> dm_1             dm_1         0        0.00     120
#> dm_2             dm_2         0        0.00     120
#> dm_3             dm_3         0        0.00     120
#> sq_1             sq_1         0        0.00     120
#> sq_2             sq_2         0        0.00     120
#> sq_3             sq_3         0        0.00     120
#> sus_1           sus_1         0        0.00     120
#> sus_2           sus_2         0        0.00     120
#> sat_1           sat_1         0        0.00     120
#> sat_2           sat_2         0        0.00     120
#> bi_1             bi_1         0        0.00     120
#> bi_2             bi_2         0        0.00     120
#> attention   attention         0        0.00     120
#> comments     comments        30        0.25      90