pfnorm {score}

Compares physical functional performance to normal ranges

Description

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.

Usage

pfnorm(data)

Arguments

data

Data frame which consists of six columns:

Column 1:	Age
Column 2:	Gender (F: female, M: male)
Column 3:	Number of Steps
Column 4:	Number of full stands
Column 5:	Mean of 8 foot up and go trials
Column 6:	Mean of left and right armcurls

Value

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.

Author(s)

Jaejoon Song <[e-mail]>

References

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.

Examples

# 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)