"writeFit" <- function(multimodel, multitheta, plotoptions) {
m <- multimodel@modellist
t <- multitheta
res <- multimodel@fit@resultlist
for (i in 1:length(m)) {
x2 <- m[[i]]@x2
x <- m[[i]]@x
fitted <- matrix(nrow = m[[i]]@nt, ncol = m[[i]]@nl)
irfmu <- vector()
for (j in 1:length(x2)) {
fitted[, j] <- res[[i]]@fitted[[j]]
if (m[[i]]@weight) {
fitted[, j] <- fitted[, j] / m[[i]]@weightM[, j]
}
}
if (!plotoptions@writefitivo) {
write.table(fitted,
file = paste(plotoptions@makeps,
"_fit_dataset_", i, ".txt",
sep = ""
), quote = FALSE,
row.names = x, col.names = x2
)
} else {
cat("description line 1 \n", file = paste(plotoptions@makeps,
"_fit_dataset_", i, ".txt",
sep = ""
))
cat("description line 2 \n", file = paste(plotoptions@makeps,
"_fit_dataset_", i, ".txt",
sep = ""
), append = TRUE)
cat("Wavelength explicit \n", file = paste(plotoptions@makeps,
"_fit_dataset_", i, ".txt",
sep = ""
), append = TRUE)
cat(paste("Intervalnr", m[[i]]@nl, "\n"),
file = paste(plotoptions@makeps, "_fit_dataset_", i, ".txt",
sep = ""
), append = TRUE
)
write.table(fitted,
file = paste(plotoptions@makeps,
"_fit_dataset_", i, ".txt",
sep = ""
), quote = FALSE,
row.names = x, col.names = x2, append = TRUE
)
}
}
}
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