plot_olfreg | R Documentation |
Plot coefficients from OLFREG model
plot_olfreg(object)
object |
OLFREG model |
plot of the beta coefficient regression functions for each intercept and for each variable
# cycling dataset library(fda) # creation of ordinal variable from HR variable zoneHR=rep(0,216) zoneHR[which(rowMeans(cycling$HR[,1:1700])<107)]=1 zoneHR[which((rowMeans(cycling$HR[,1:1700])<125)&(rowMeans(cycling$HR[,1:1700])>107))]=2 zoneHR[which((rowMeans(cycling$HR[,1:1700])<142)&(rowMeans(cycling$HR[,1:1700])>125))]=3 zoneHR[which((rowMeans(cycling$HR[,1:1700])<160)&(rowMeans(cycling$HR[,1:1700])>142))]=4 zoneHR[which((rowMeans(cycling$HR[,1:1700])>160))]=5 # first functional variable - power (WATTS) watts = t(cycling$WATTS[,1:1700]) # set up a fourier basis system due to its cycling pattern xbasis = create.fourier.basis(c(1,1700),50) # 50 basis functions for example watts.fd = smooth.basis(c(1:1700),watts,xbasis)$fd zoneHR = as.factor(zoneHR) # additional functional variable - cadence (CAD) cad = t(cycling$CAD[,1:1700]) # set up a functional variable for cad xbasis2 = create.bspline.basis(c(1,1700), nbasis = 25, norder = 4) cad.fd = smooth.basis(c(1:1700),cad,xbasis2)$fd formula = zoneHR ~ watts.fd + cad.fd olfreg.model = olfreg(formula = formula) plot_olfreg(olfreg.model)
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