SEM {SEofM} | R Documentation |
Standard Error of Measurement
Description
To calculate the standard error of measurement (SEM) to assess the observer variability.
Usage
SEM(subject,measurement,observer,value)
Arguments
subject |
the index of the subjects, e.g., 1,2,3...;1,2,3... |
measurement |
the index of the measurements, e.g., 1,1,1...;2,2,2... |
observer |
the index of the observers, e.g., 1,1,1...;2,2,2... |
value |
the value of the subjects estimated by the observers using the measurements |
Value
SEMintra |
SEM for intra-observer variation |
SEMinter.fixed |
SEM for inter-observer variation |
SEMinter.random |
SEM for inter-observer variation, which is almost always used than SEMinter.fixed |
Note
Please feel free to contact us, if you have any advice and find any bug!
Reference:
1. Zoran B. Popović, James D. Thomas (2017) Assessing observer variability: a user’s guide, Cardiovascular Diagnosis and Therapy, 7(3): 317-324, DOI: 10.21037/cdt.2017.03.12
Update:
Version 0.1.0: The first version.
Examples
data(SEMSample)
value=SEMSample$value
observer=SEMSample$observer
subject=SEMSample$patient
measurement=SEMSample$measurement
SEM(subject,measurement,observer,value)