mbir (version 1.3.5)

swc_ind: Smallest Worthwhile Change: Individual

Description

Provides longitudinal magnitude-based inferences for an individual's change from previous time point and magnitude of deviation from trend line.

Usage

swc_ind(x, swc, type = c("previous", "trend"), ts, te, main, xlab, ylab)

Arguments

x

numeric vectors of data values

swc

smallest worthwhile change

type

(character) indicator specifying which type of analysis: "previous" or "trend"

ts

(required if type = "trend") target slope

te

(optional) typical error. Defaults to typical error of the estimate

main

(optional) plot title. Defaults to blank

xlab

(optional) x-axis label. Defaults to "Measurement"

ylab

(optional) y-axis label. Defaults to name of x

Details

Refer to vignette for further information.

References

Hopkins WG. (2017). A spreadsheet for monitoring an individual's changes and trend. Sportscience 21, 5-9. sportsci.org/2017/wghtrend.htm

Examples

# NOT RUN {
df<-c(97.5,99.9,100.2,101,101.2,99.8)

swc_ind(x = df, swc = 0.5, te = 1, ts = 0.25, type = "trend")
# }