Detect suspected erroneous numeric data in user chosen columns

suscat(df, column = NULL, n = 5, num = "percent")

Arguments

df	A dataframe or matrix like object
column	vector like with names of columns to test
n	default to 1, integer number or percentage of suspected values to identify
num	either "number" if n should be read as a number of rows or 'percentage' if a percentage of total rows

list of named vectors containing row numbers per column

suscat(iris, col = c('Sepal.Width', 'Petal.Width'))
#> $Sepal.Width
#> [1]  15  16  33  34  61  63  69 120
#> 
#> $Petal.Width
#> [1] 101 110 145
#>