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

Read more on our website!

On our website https://msberends.gitlab.io/AMR you can find a comprehensive tutorial about how to conduct AMR analysis, the complete documentation of all functions (which reads a lot easier than here in R) and an example analysis using WHONET data.

See also

Examples

# 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)
# }