q_boots: A funcion to calculate Q boots

In rominsal/spqdata: Testing for spatial structure of qualitative data in cross section

Description

This function calculates Q0, a measure of spatial association based on symbolic entropy.

Usage

q_boots(Y, x, m, nsim=999)

Arguments

x	coordenadas asociadas a la observación de Y
m	amplitud de las m-historias
nsim	number of permutations
Y	a factor of the same length as the coordinates x
s	grado de solapamiento

Details

Aquí Antonio escribe una linda historia

Value

decir que cosas son las que devuelve

Q0s_p	value of the statistic of the observed distribution. Symbols p
p.value.p	the pseudo p-value of the Q0s_p test
efp_symb	frecuencia empírica de los simbolos "p" de cada permutación
Q0s_c	value of the statistic of the observed distribution. Symbols c
p.value.c	the pseudo p-value of the Q0s_c test
efc_symb	frecuencia empírica de los simbolos "c" de cada permutación
nsim	nsim simulated values of statistic

Author(s)

Fernando López	[e-mail]
Román Mínguez	[e-mail]
Antonio Páez	[e-mail]
Manuel Ruiz	[e-mail]

@references

• Ruiz, M., López, F., and Páez, A. (2010). Testing for spatial association of qualitative data using symbolic dynamics. Journal of Geographical Systems, 12(3), 281-309.

• López, F., and Páez, A. (2012). Distribution-free inference for Q(m) based on permutational bootstrapping: an application to the spatial co-location pattern of firms in Madrid. Estadística Española, 177, 135-156.

See Also

dgp_spq, m_surr_no,q_symb

Examples

# Example 1
N <- 1000
cx <- runif(N)
cy <- runif(N)
x <- cbind(cx,cy)
listw <- spdep::nb2listw(spdep::knn2nb(spdep::knearneigh(cbind(cx,cy), k=4)))
p <- c(1/6,3/6,2/6)
rho = 0.5
fx <- dgp_spq(x = x, p = p, listw = listw, rho = rho)
Q0s <- q_boots(fx=fx,x=x,m=3,nsim=199)

# Example 2

# Load dataset
data("FastFood")
# Define coordinates
x <- cbind(FastFood.sf$Lon,FastFood.sf$Lat)
m <- 3
Q0s <- q_boots(fx=FastFood.sf$Type,x=x,m=3,nsim=199)

rominsal/spqdata documentation built on Jan. 24, 2021, 11:11 a.m.