multisampling.large {hgwrr} | R Documentation |
Large Scale Simulated Spatial Multisampling Data (DataFrame)
Description
A large scale simulation data of spatial hierarchical structure and samples overlapping on certain locations.
Usage
data(multisampling)
Format
A list of three items called "data", "coords" and "beta". Item "data" is a data frame with 13862 observations at 200 locations and the following 6 variables.
y
a numeric vector, dependent variable
y
g1
a numeric vector, group level independent variable
g_1
g2
a numeric vector, group level independent variable
g_2
z1
a numeric vector, sample level independent variable
z_1
x1
a numeric vector, sample level independent variable
x_1
group
a numeric vector, group id of each sample
where g1
and g2
are used to estimate local fixed effects;
x1
is used to estimate global fixed effects
and z1
is used to estimate random effects.
Author(s)
Yigong Hu yigong.hu@bristol.ac.uk
Examples
## Not run:
data(multisampling.large)
hgwr(formula = y ~ L(g1 + g2) + x1 + (z1 | group),
data = multisampling.large$data,
coords = multisampling.large$coords,
bw = 32, kernel = "bisquared")
## End(Not run)
[Package hgwrr version 0.5-0 Index]