Calculate intra-observer TEM for each observer — calculate_tem

Function to calculate *intra-observer TEM* for each observer using input dataset containing multiple types of multiple measurements from multiple observers.

Usage

calculate_tem_cohort(df, m1, m2, index = NULL, n)

Arguments

df: A data.frame containing data on multiple measurements made by multiple observers on multiple subjects
m1: A character value for variable in `df` containing initial round measurements made by multiple observers
m2: A character value for variable in `df` containing subsequent round measurements made by multiple observers
index: A character value or vector specifying the variable name/s in `df` containing the factors to be used to group the results into. If multiple observers, at least two variable names should be provided as observer identifiers. Any other variable in `df` that should be used as grouping factor should be included. This is *optional* and is set to NULL by default. This would indicate that the summary metrics will be made for the values in `measures` without any grouping
n: Number of subjects measured

Value

A data frame of calculated TEM per observer and per measurement type.

Examples

# Get the TEM per observer for MUAC measurements in the smartStd dataset
calculate_tem_cohort(df = smartStd,
                     m1 = "muac1", m2 = "muac2",
                     index = "observer", n = 10)
#>    observer       tem
#> 1         0  3.694591
#> 2         1  2.428992
#> 3         2  2.819574
#> 4         3 29.631908
#> 5         4  3.674235
#> 6         5  8.941476
#> 7         6  3.008322
#> 8         7  7.641989
#> 9         8  3.232646
#> 10        9  2.313007
#> 11       10  2.037155