naniar (version 0.3.1)

miss_scan_count: Search and present different kinds of missing values

Description

Searching for different kinds of missing values is really annoying. If you have values like -99 in your data, when they shouldn't be there, or they should be encoded as missing, it can be difficult to ascertain if they are there, and if so, where they are. miss_scan_count makes it easier for users to search for particular occurrences of these values across their variables.

Usage

miss_scan_count(data, search)

Arguments

data

data

search

values to search for

Value

a dataframe of the occurrences of the values you searched for

See Also

miss_case_pct miss_case_prop miss_prop_summary() miss_case_summary miss_case_table miss_summary miss_var_pct miss_var_prop miss_var_run miss_var_span miss_var_summary miss_var_table

Examples

# NOT RUN {
dat_ms <- tibble::tribble(~x,  ~y,    ~z,
                         1,   "A",   -100,
                         3,   "N/A", -99,
                         NA,  NA,    -98,
                         -99, "E",   -101,
                         -98, "F",   -1)

miss_scan_count(dat_ms,-99)
miss_scan_count(dat_ms,c(-99,-98))
miss_scan_count(dat_ms,c("-99","-98","N/A"))
miss_scan_count(dat_ms,common_na_strings)

# }