as.mic.Rd
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)
x | vector |
---|---|
na.rm | a logical indicating whether missing values should be removed |
Ordered factor with new class mic
On our website https://msberends.gitlab.io/AMR you can find a omprehensive tutorial about how to conduct AMR analysis and find the complete documentation of all functions, which reads a lot easier than in R.
# NOT RUN { mic_data <- as.mic(c(">=32", "1.0", "1", "1.00", 8, "<=0.128", "8", "16", "16")) is.mic(mic_data) # this can also coerce combined MIC/RSI values: as.mic("<=0.002; S") # will return <=0.002 plot(mic_data) barplot(mic_data) freq(mic_data) # }