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

Examples

mic_data <- as.mic(c(">=32", "1.0", "1", "1.00", 8, "<=0.128", "8", "16", "16")) 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)
barplot(mic_data)
freq(mic_data)
#> #> #> **Frequency table** #> #> #> | |Item | Count| Percent| Cum. Count| Cum. Percent| #> |:--|:-------|-----:|-------:|----------:|------------:| #> |1 |1 | 3| 33.3%| 3| 33.3%| #> |2 |8 | 2| 22.2%| 5| 55.6%| #> |3 |16 | 2| 22.2%| 7| 77.8%| #> |4 |<=0.128 | 1| 11.1%| 8| 88.9%| #> |5 |>=32 | 1| 11.1%| 9| 100.0%| #> #>