GeomMissPoint           naniar-ggroto
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
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_miss_1d           Label a missing from one column
label_miss_2d           label_miss_2d
label_missings          Is there a missing value in the row of a
                        dataframe?
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
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
naniar                  naniar
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
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?
