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| naniar-package | naniar |
| add_any_miss | Add a column describing presence of any missing values |
| add_label_missings | Add a column describing if there are any missings in the dataset |
| add_label_shadow | Add a column describing whether there is a shadow |
| add_miss_cluster | Add a column that tells us which "missingness cluster" a row belongs to |
| add_n_miss | Add column containing number of missing data values |
| add_prop_miss | Add column containing proportion of missing data values |
| add_shadow | Add a shadow column to dataframe |
| add_shadow_shift | Add a shadow shifted column to a dataset |
| add_span_counter | Add a counter variable for a span of dataframe |
| all_row_complete | Helper function to determine whether all rows are complete |
| all_row_miss | Helper function to determine whether all rows are missing |
| any_row_miss | Helper function to determine whether there are any missings |
| as_shadow | Create shadows |
| as_shadow.data.frame | Create shadow data |
| bind_shadow | Bind a shadow dataframe to original data |
| cast_shadow | Add a shadow column to a dataset |
| cast_shadow_shift | Add a shadow and a shadow_shift column to a dataset |
| cast_shadow_shift_label | Add a shadow column and a shadow shifted column to a dataset |
| gather_shadow | Long form representation of a shadow matrix |
| GeomMissPoint | naniar-ggroto |
| geom_miss_point | geom_miss_point |
| gg_miss_case | Plot the number of missings per case (row) |
| gg_miss_case_cumsum | Plot of cumulative sum of missing for cases |
| gg_miss_fct | Plot the number of missings for each variable, broken down by a factor |
| gg_miss_span | Plot the number of missings in a given repeating span |
| gg_miss_var | Plot the number of missings for each variable |
| gg_miss_var_cumsum | Plot of cumulative sum of missing value for each variable |
| gg_miss_which | Plot which variables contain a missing value |
| group_by_fun | Group By Helper |
| label_missings | Is there a missing value in the row of a dataframe? |
| label_miss_1d | Label a missing from one column |
| label_miss_2d | label_miss_2d |
| label_shadow | Label shadow values as missing or not missing |
| label_shadow_matrix | Give NAs a more meaningful label |
| miss_case_pct | Percentage of cases that contain a missing values. |
| miss_case_prop | Proportion of cases that contain a missing values. |
| miss_case_summary | Summarise the missingness in each case |
| miss_case_table | Tabulate missings in cases. |
| miss_prop_summary | Proportions of missings in data, variables, and cases. |
| miss_scan_count | Search and present different kinds of missing values |
| miss_summary | Collate summary measures from naniar into one tibble |
| miss_var_pct | Percentage of variables containing missings |
| miss_var_prop | Proportion of variables containing missings |
| miss_var_run | Find the number of missing and complete values in a single run |
| miss_var_span | Summarise the number of missings for a given repeating span on a variable |
| miss_var_summary | Summarise the missingness in each variable |
| miss_var_table | Tabulate the missings in the variables |
| naniar | naniar |
| naniar-ggproto | naniar-ggroto |
| n_complete | Return the number of complete values |
| n_complete_row | Return a vector of the number of complete values in each row |
| n_miss | Return the number of missing values |
| n_miss_row | Return a vector of the number of missing values in each row |
| oceanbuoys | West Pacific Tropical Atmosphere Ocean Data, 1993 & 1997. |
| pct_complete | Return the percent of complete values |
| pct_miss | Return the percent of missing values |
| pedestrian | Pedestrian count information around Melbourne for 2016 |
| prop_complete | Return the proportion of complete values |
| prop_complete_row | Return a vector of the proportion of missing values in each row |
| prop_miss | Return the proportion of missing values |
| prop_miss_row | Return a vector of the proportion of missing values in each row |
| replace_to_na | Replace values with missings |
| replace_with_na | Replace values with missings |
| replace_with_na_all | Replace all values with NA where a certain condition is met |
| replace_with_na_at | Replace specified variables with NA where a certain condition is met |
| replace_with_na_if | Replace values with NA based on some condition, for variables that meet some predicate |
| riskfactors | The Behavioral Risk Factor Surveillance System (BRFSS) Survey Data, 2009. |
| shadow_shift | Shift missing values to facilitate missing data exploration/visualisation |
| StatMissPoint | naniar-ggroto |
| stat_miss_point | stat_miss_point |
| test_if_dataframe | Test if input is a data.frame |
| test_if_missing | Test if the input is Missing |
| test_if_null | Test if the input is NULL |
| where_na | Which rows and cols contain missings? |
| which_na | Which elements contain missings? |
| which_var_na | Which variables contain missing values? |