BivRegBLS (version 1.1.1)

antilog.pred: Back transforms the results if a logarithmic transformation is used

Description

If the data are log-normal, the user can apply a logarithmic transformation. Then, antilog.pred will automatically back-transform (exponentiate) the data and the predictions (hyperbolic intervals) obtained by the BLS, CBLS, MD.horiz.lines, FullCIs.XY or FullCIs.MD functions.

Usage

antilog.pred(results = NULL, base = 10)

Arguments

results

an object of class BLS, CBLS, MD.horiz.lines, CIs.XY or CIs.MD.

base

a character string or a numeric value. Options available are: 10 (default value) or "e".

Value

An object of class BLS, CBLS, MD.horiz.lines, CIs.XY or CIs.MD.

Details

antilog.pred is automatically called by the argument antilog in the functions XY.plot or MD.plot.

See Also

BLS, CBLS, MD.horiz.lines, FullCIs.XY, FullCIs.MD

Examples

# NOT RUN {
library(BivRegBLS)
data(SBP)
SBPlog=SBP
SBPlog[,2:10]=log(SBPlog[,2:10])
res.BLS.log=BLS(data=SBPlog,xcol=c("J1","J2","J3"),ycol=8:10)
res.BLS=antilog.pred(results=res.BLS.log,base="e")
# }