Th-Hf-Nb: Wood

<data plot> Reference [wiki]: Data: bulk Input: Th_gpt, Hf_gpt, Nb_gpt </data>

require('ggtern');

classifydiag.th_hf_nb_wood <- function (wtp_data, ...)
{  
ds <- selectNames(wtp_data,c('Name','Th_gpt', 'Hf_gpt', 'Nb_gpt'))

pts <- data.frame(Name=ds$Name,
                  X = ds$Th_gpt,
                  Y = ds$Hf_gpt/3,
                  Z = ds$Nb_gpt/16);

labels <- c("Th_gpt", "Hf_gpt/3", "Nb_gpt/16");
 
lines <- data.frame(X1 = c(0.15, 0.15, 0.24, 0.56, 0.15, 0.35, 0.08, 0.03, 0.35, 0.54, 0.58, 0.27, 0.13, 0.05, 0.57, 0.63, 0.40, 0.32),
                    Y1 = c(0.85, 0.77, 0.63, 0.25, 0.77, 0.46, 0.65, 0.87, 0.46, 0.25, 0.20, 0.33, 0.42, 0.55, 0.20, 0.08, 0.12, 0.20),
                    Z1 = c(0.00, 0.08, 0.13, 0.20, 0.08, 0.19, 0.28, 0.10, 0.19, 0.21, 0.23, 0.40, 0.45, 0.40, 0.23, 0.28, 0.48, 0.48),
                    X2 = c(0.15, 0.24, 0.56, 0.95, 0.35, 0.08, 0.03, 0.15, 0.54, 0.58, 0.27, 0.13, 0.05, 0.08, 0.63, 0.40, 0.32, 0.27),
                    Y2 = c(0.77, 0.63, 0.25, 0.00, 0.46, 0.65, 0.87, 0.77, 0.25, 0.20, 0.33, 0.42, 0.55, 0.65, 0.08, 0.12, 0.20, 0.33),
                    Z2 = c(0.08, 0.13, 0.20, 0.05, 0.19, 0.28, 0.10, 0.08, 0.21, 0.23, 0.40, 0.45, 0.40, 0.28, 0.28, 0.48, 0.48, 0.40));
 
marks  <- data.frame(Label=c("NMORB", "EMORB", "OIB", "Arc-bas"),
                     X=c(0.17, 0.24, 0.43, 0.60),
                     Y=c(0.65, 0.43, 0.18, 0.28),
                     Z=c(0.21, 0.33, 0.39, 0.12));
ret <- c();
ret$type <- "ternogram";
ret$points <- pts;
ret$labels  <- labels;
ret$lines <- lines;
ret$marks <- marks;
 
return(ret);
}