compute_RSD {TIGERr} | R Documentation |
Compute RSD (relative standard deviation)
Description
This function computes the RSD (relative standard deviation) of the values in input_data
. Missing values are removed before the computation automatically.
Usage
compute_RSD(input_data)
Arguments
input_data |
a numeric vector |
Details
The RSD in this function is computed by:
sd(input_data, na.rm = TRUE) / mean(input_data, na.rm = TRUE)
.
Value
The RSD of the values in input_data
is computed, as a numeric of length one.
Examples
RSD_1 <- compute_RSD(c(1:10))
data(FF4_qc) # load demo dataset
# RSD of QC:
RSD_2 <- sapply(FF4_qc[FF4_qc$sampleType == "QC", -c(1:5)], compute_RSD)
quantile(RSD_2)
# RSD of different types of QC samples:
# (each metabolote has its own RSD)
RSD_3 <- aggregate(FF4_qc[-c(1:5)], by = list(Type = FF4_qc$sampleType),
FUN = compute_RSD)
[Package TIGERr version 1.0.0 Index]