| FLQuantPoint {FLCore} | R Documentation |
The FLQuantPoint class summarizes the contents of an FLQuant object with
multiple iterations along its sixth dimension using a number of descriptive statistics.
An object of this class has a set structure along its sixth dimension (iter), which will always be of length 5, and with dimnames mean, median, var, uppq and lowq. They refer, respectively, to the sample mean, sample median, variance, and lower (0.25) and upper (0.75) quantiles.
Objects of this class wil be typically created from an FLQuant. The various
statistics are calculated along the iter dimension of the original
FLQuant using apply.
array.character.lowq iteration signature(x=FLQuantPoint) lowq iteration signature(x=FLQuantPoint,value=FLQuant) mean iteration signature(x=FLQuantPoint) mean iteration signature(x=FLQuantPoint,value=FLQuant) median iteration signature(x=FLQuantPoint,na.rm=missing) median iteration signature(x=FLQuantPoint,value=FLQuant) signature(x=FLQuantPoint,y=missing) lowq or uppq iteration signature(x=FLQuantPoint) FLQuant using the information on an FLQuantPoint signature(n=numeric,meanlog=FLQuantPoint,sdlog=missing) FLQuant using the information on an FLQuantPoint signature(n=numeric,mean=FLQuantPoint,sd=missing) signature(object=FLQuantPoint) signature(object=FLQuantPoint) uppq iteration signature(x=FLQuantPoint) uppq iteration signature(x=FLQuantPoint,value=FLQuant) var iteration signature(x=FLQuantPoint,y=missing,na.rm=missing,use=missing) var iteration signature(x=FLQuantPoint,value=FLQuant) The FLR Team
lowq, lowq<-, mean, mean<-, median, median<-, plot, quantile, rlnorm, rnorm, show, summary, uppq, uppq<-, var, var<-, FLQuant, array
flq <- FLQuant(rnorm(2000), dim=c(10,20,1,1,1,200)) flqp <- FLQuantPoint(flq) summary(flqp) mean(flqp) var(flqp) rnorm(200, flqp)