Nothing
checkAnalyArgs_bMCP <- function (dose, resp, data, S, type, prior, na.action, cal)
{
if (!is.null(data)) {
if (!is.data.frame(data))
stop("data argument needs to be a data frame")
nams <- c(cal[2], cal[3])
ind <- match(nams, names(data))
if (any(is.na(ind)))
stop("variable(s): ", paste(nams[is.na(ind)], collapse = ", "),
" not found in ", cal[4])
dd <- na.action(data[, nams])
}
else {
if (!(is.numeric(resp) && is.null(dim(resp)))) {
warning(cal[3], " is not a numeric but a ", class(resp)[1],
", converting with as.numeric()")
resp <- as.numeric(resp)
}
if (length(dose) != length(resp))
stop(cal[2], " and ", cal[3], " not of equal length")
dd <- na.action(data.frame(dose, resp))
cal[2:3] <- gsub("\\$", "", cal[2:3])
cal[2:3] <- gsub("\\[|\\]", "", cal[2:3])
colnames(dd) <- cal[2:3]
}
doseNam <- cal[2]
respNam <- cal[3]
if (any(dd[[doseNam]] < -.Machine$double.eps))
stop("dose values need to be non-negative")
if (!is.numeric(dd[[doseNam]]))
stop("dose variable needs to be numeric")
if (!is.numeric(dd[[respNam]]))
stop("response variable needs to be numeric")
if (type == "general" & is.null(S))
stop("S argument missing")
if (type == "normal" & !is.null(S))
message("Message: S argument ignored for type == \"normal\"\n")
if (!is.null(S)) {
if (!is.matrix(S))
stop("S needs to be of class matrix")
nD <- length(dd[[doseNam]])
if (nrow(S) != nD | ncol(S) != nD)
stop("S and dose have non-conforming size")
}
ord <- order(dd[[doseNam]])
dd <- dd[ord, ]
Sout <- NULL
if (type == "general")
Sout <- S[ord, ord]
if (length(unique(dd[[doseNam]])) != length(prior))
stop("Dose and prior have non-conforming size")
if (!all(unlist(lapply(prior, function(x) "normMix" %in% class(x)))))
stop("priors need to be of class normMix")
return(list(dd = dd, type = type, S = Sout, ord = ord, doseNam = doseNam,
respNam = respNam))
}
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