Class 'mic'

This transforms a vector to a new class mic, which is an ordered factor with valid MIC values as levels. Invalid MIC values will be translated as NA with a warning.

as.mic(x, na.rm = FALSE)

is.mic(x)

Arguments

x

vector
na.rm

a logical indicating whether missing values should be removed

Value

Ordered factor with new class mic

See also

as.rsi

Examples

mic_data <- as.mic(c(">=32", "1.0", "1", "1.00", 8, "<=0.128", "8", "16", "16"))
#> Warning: 1 results truncated (11%) that were invalid MICs: "1.00"
is.mic(mic_data)
#> [1] TRUE

# this can also coerce combined MIC/RSI values:
as.mic("<=0.002; S") # will return <=0.002
#> Class 'mic'
#> [1] <=0.002

plot(mic_data)
#> Warning: Factor `mic` contains implicit NA, consider using `forcats::fct_explicit_na`
barplot(mic_data)
#> Warning: Factor `mic` contains implicit NA, consider using `forcats::fct_explicit_na`
freq(mic_data)
#> 
#> 
#> **Frequency table**
#> 
#> 
#> |   |Item    | Count| Percent| Cum. Count| Cum. Percent|
#> |:--|:-------|-----:|-------:|----------:|------------:|
#> |1  |1       |     2|   25.0%|          2|        25.0%|
#> |2  |8       |     2|   25.0%|          4|        50.0%|
#> |3  |16      |     2|   25.0%|          6|        75.0%|
#> |4  |<=0.128 |     1|   12.5%|          7|        87.5%|
#> |5  |>=32    |     1|   12.5%|          8|       100.0%|
#> 
#>