plot_n: Plot non-spatially varying coefficients (NVCs)

In spmoran: Fast Spatial Regression using Moran Eigenvectors

Plot non-spatially varying coefficients (NVCs)

Description

This function plots non-spatially varying coefficients (NVCs; coefficients varying with respect to explanatory variable value) and their 95 percent confidence intervals

Usage

plot_n( mod, xnum = 1, xtype = "x", cex.lab = 20,
        cex.axis = 15, lwd = 1.5, ylim = NULL, nmax = 20000 )

Arguments

mod	Outpot from resf, besf, resf_vc, or besf_vc function
xnum	The NVC on the xnum-th explanatory variable is plotted. Default is 1
xtype	Effective for resf_vc and besf_vc. If "x", the num-th NVC in the spatially and non-spatially varying coefficients on x is plotted. If "xconst", the num-th NVC on xconst is plotted. Default is "x"
cex.lab	The size of the x and y axis labels
cex.axis	The size of the tick label numbers
lwd	The width of the line drawing the coefficient estimates
ylim	The limints of the y-axis
nmax	If sample size exceeds nmax, nmax samples are randomly selected and plotted. Default is 20,000

See Also

resf, besf, resf_vc, besf_vc

spmoran documentation built on April 29, 2023, 1:13 a.m.