source(SHE2AVS.R) source(AVS2SHE.R) source(ConvertRefPotEC.R) ################################################## ################# ConvertRefPot ################## ################################################## ConvertRefPot <- function(argpotential, argrefscale, valuerefscale) { # Check that argpotential is valid numeric # IDEA: make a matrix out of these (scale names and flags) # Valid scales scale.names <- list() scale.names[["SHE"]] <- c("SHE", "NHE", "she", "nhe") scale.names[["AgCl"]] <- c("Ag/AgCl", "AgCl", "ag/agcl", "agcl") scale.names[["SCE"]] <- c("SCE", "sce") scale.names[["Li"]] <- c("Li/Li+", "Li", "Li+", "li", "li+", "li/li+") scale.names[["AVS"]] <- c("AVS", "avs") # Set flags bool.flags <- as.data.frame(matrix(0, nrow = length(scale.names), ncol = 2)) names(bool.flags) <- c("argref", "valueref") row.names(bool.flags) <- names(scale.names) # argrefscale # Check that argrefscale is valid character mode # ... for (j in 1:length(row.names(bool.flags))) { if (any(scale.names[[row.names(bool.flags)[j]]] == argrefscale)) { bool.flags[row.names(bool.flags)[j], "argref"] <- j } } # valuerefscale # Check that valuerefscale is valid character mode # ... for (k in 1:length(row.names(bool.flags))) { if (any(scale.names[[row.names(bool.flags)[k]]] == valuerefscale)) { bool.flags[row.names(bool.flags)[k], "valueref"] <- k } } # Depending on which flags are set, call the corresponding function decision.vector <- colSums(bool.flags) # Check if both scales are the same (no conversion needed). If so, abort gracefully. # ... if (decision.vector["argref"] == 5 || decision.vector["valueref"] == 5) { # AVS is requested, deal with it it if (decision.vector["argref"] == 5) { # Conversion _from_ AVS rnpotential <- ConvertRefPotEC(AVS2SHE(argpotential), "SHE", scale.names[[decision.vector["valueref"]]][1]) } if (decision.vector["valueref"] == 5) { # Conversion _to_ AVS rnpotential <- SHE2AVS(ConvertRefPotEC(argpotential, scale.names[[decision.vector["argref"]]][1], "SHE")) } } else { rnpotential <- ConvertRefPotEC(argpotential, scale.names[[decision.vector["argref"]]][1], scale.names[[decision.vector["valueref"]]][1]) } return(rnpotential) }