Compares physical functional performance to the age- and gender-specific normal range scores from the Rikli and Jones Senior Fitness Test Manual. Note that the manual provides normative values for seriors aged between 60-94. Comparison to the norms will only be performed for individuals aged between 60 to 94.
Data frame which consists of six columns:
Four additional columns [StepsNorm, StandNorm, UpgoNorm, ArmcurlNorm] are provided, to the data supplied to the function. The columns indicate whether the individuals' physical performance meets the norm or is lower or higher than the norm.
Jaejoon Song <[email protected]>
Rikli, R. E. and Jones, C. J. (1999). Development and validation of a functional fitness test for community-residing older adults. Journal of Aging and Physical Activity, 7, 129-61.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
# Generating a random physical performance data for illustration n <- 20 ID <- rep(1:n) Age <- rtnorm(n, mean=75, sd=15, lower=60, upper=94) Gender <- sample(c("F","M"),n,replace=TRUE) NumberofSteps <- sample(rep(0:150),n,replace=TRUE) Numberoffullstands <- sample(rep(0:20),n,replace=TRUE) UpGo8ftmean <- rtnorm(n, mean=7.5, sd=4, lower=3, upper=30) armcurlR_Lmean <- rnorm(n, mean=14, sd=4) samplePerf <- data.frame(ID,Age,Gender, NumberofSteps,Numberoffullstands, UpGo8ftmean,armcurlR_Lmean) # Now comparing the physical performance test to the norm normCat <- pfnorm(samplePerf)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.