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Check for data corrections of X-times magnitude - data.table style
check_for_data_correction( dat, var = "daily_cases", magnitude = 10, min_count = 10 )
data set
variable for which to check for corrections. Default is "daily_cases"
"daily_cases"
magnitude of difference that qualifies as a data correction. Default is 10.
10
minimum count of var. Default is 10.
Data set with data correction observations removed
# NOT RUN { check_for_data_correction(dat = get_nat_counts, var = "daily_cases", magnitude = 10) # }
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