This function summarizes estimated spjctest objects.
The tables in the output include basic information for each test.
blablabla...
Usage
# S3 method for class 'spjctest'
summary(object, ...)
Arguments
- object
An spjctest object including a list of htest.
- ...
further arguments passed to or from other methods.
Value
An object of class summary.spjctest
Examples
## Multinomial + Binomial using a sf multipolygon
data("provinces_spain")
sf::sf_use_s2(FALSE)
provinces_spain$Mal2Fml <- factor(provinces_spain$Mal2Fml > 100)
levels(provinces_spain$Mal2Fml) = c("men","woman")
provinces_spain$Older <- cut(provinces_spain$Older, breaks = c(-Inf,19,22.5,Inf))
levels(provinces_spain$Older) = c("low","middle","high")
f1 <- ~ Older + Mal2Fml
jc1 <- jc.test(formula = f1,
data = provinces_spain,
distr = "mc",
alternative = "greater",
zero.policy = TRUE)
#> although coordinates are longitude/latitude, st_intersects assumes that they
#> are planar
#> Warning: some observations have no neighbours;
#> if this seems unexpected, try increasing the snap argument.
#> Warning: neighbour object has 4 sub-graphs;
#> if this sub-graph count seems unexpected, try increasing the snap argument.
summary(jc1)
JoinCount Spatial Tests (Monte Carlo) |
pairs |
pvalue |
Joincount |
Expected |
Variance |
---|
Older - multinomial - alternative: greater - Monte-Carlo simulation of
join-count statistic (nonfree sampling) |
---|
high:high |
0.41800 |
14 |
13.93 |
10.46 |
low:low |
0.59100 |
7 |
8.18 |
6.04 |
middle:middle |
0.60500 |
13 |
13.79 |
10.13 |
low:high |
0.45300 |
24 |
23.05 |
16.25 |
middle:high |
0.65700 |
28 |
29.28 |
17.46 |
middle:low |
0.27400 |
25 |
22.77 |
15.42 |
Jtot |
0.37100 |
77 |
75.10 |
20.20 |
Mal2Fml - binomial - alternative: greater - Monte-Carlo simulation of join-count statistic |
---|
men-men |
0.52400 |
60 |
60.37 |
23.62 |
woman-woman |
0.02900 |
13 |
7.16 |
6.66 |