src/test/scripts/functions/builtin/cspline.R

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# Intended to solve cubic natural spline, using R, in order to compare against the DML implementation
# INPUT 1: Matrix X [rows, 1]
# INPUT 2: Matrix Y [rows, 1]
# OUTPUT : 1x1 matrix of value of the interpolated y for given input x
#
# Assume that $CSPLINE_HOME is set to the home of the R script
# Assume input and output directories are $CSPLINE_HOME/in/ and $CSPLINE_HOME/expected/
# Rscript $CSPLINE_HOME/CsplineDs.R $CSPLINE_HOME/in/X.mtx $CSPLINE_HOME/in/Y.mtx 4.5 $CSPLINE_HOME/expected/y.mtx

args <- commandArgs (TRUE);

library ("Matrix");

X_here <- readMM (args[1]); # (paste (args[1], "X.mtx", sep=""));
Y_here <- readMM (args[2]); # (paste (args[2], "Y.mtx", sep=""));

inp_x <- args[3]

pred_y_here <- args[4]

X_matrix = as.matrix (X_here);
Y_matrix = as.matrix (Y_here);

sf<-splinefun(X_matrix, Y_matrix, method="natural")

pred_y = sf(inp_x)

print(paste("For inp_x = ", inp_x, " Calculated y = ", pred_y))

writeMM(as(pred_y, "CsparseMatrix") , pred_y_here);