Nothing
library(DRomics)
visualize <- FALSE # put to TRUE for a manual check of plots
niterboot <- 25
# niterboot <- 250
if (visualize)
{
datafilename <- system.file("extdata", "transcripto_very_small_sample.txt", package="DRomics")
# to test the multi-page of plotfit2pdf take the file below
# datafilename <- system.file("extdata", "transcripto_sample.txt", package="DRomics")
o <- microarraydata(datafilename, check = TRUE, norm.method = "cyclicloess")
s <- itemselect(o)
f <- drcfit(s)
r <- bmdcalc(f)
b <- bmdboot(r, niter = niterboot)
plot(f , BMDoutput = r, BMDtype = "zSD")
plot(f , BMDoutput = b, BMDtype = "zSD")
plot(f , BMDoutput = r, BMDtype = "xfold")
plot(f , BMDoutput = b, BMDtype = "xfold")
plot(f , items = 3, BMDoutput = b, BMDtype = "zSD")
plot(f , items = 6, BMDoutput = b, BMDtype = "zSD")
plot(f , items = c("12.1", "4", "70"), BMDoutput = b, BMDtype = "zSD")
plotfit2pdf(f , BMDoutput = r, BMDtype = "zSD")
plotfit2pdf(f , BMDoutput = b, BMDtype = "zSD")
plotfit2pdf(f , BMDoutput = r, BMDtype = "xfold")
plotfit2pdf(f , BMDoutput = b, BMDtype = "xfold")
plotfit2pdf(f , items = 3, BMDoutput = r, BMDtype = "zSD")
plotfit2pdf(f , items = 6, BMDoutput = b, BMDtype = "xfold")
plotfit2pdf(f , items = c("12.1", "4", "70"), BMDoutput = r, BMDtype = "zSD")
}
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