This function plots regression coefficients estimated from the spatial filter unconditional quantile regression (SF-UQR) model.
plot_qr( mod, pnum = 1, par = "b", cex.main = 22, cex.lab = 20, cex.axis = 18, lwd = 1.5 )Outpot from the resf_qr function
A number specifying the parameter being plotted. If par = "b", the coefficients on the pnum-th explanatory variable are plotted (intercepts are plotted if pnum = 1). If par = "s" and pnum = 1, the estimated standard errors for the reidual spatial process are plotted. If par = "s" and pnum = 2, the Moran's I values of the residual spatial process are plotted. The Moran's I value is scaled to take a value between 0 (no spatial dependence) and 1 (the maximum possible spatial dependence). Based on Griffith (2003), the scaled Moran'I value is interpretable as follows: 0.25-0.50:weak; 0.50-0.70:moderate; 0.70-0.90:strong; 0.90-1.00:marked
If it is "b", regression coefficeints are plotted. If it is "s", shrinkage (variance) parameters for the residual spatial process are plotted. Default is "b"
Graphical parameter specifying the size of the main title
Graphical parameter specifying the size of the x and y axis labels
Graphical parameter specifying the size of the tick label numbers
Graphical parameters specifying the width of the line drawing the coefficient estimates