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tests/regtest_names.R
In coin: Conditional Inference Procedures in a Permutation Test Framework
### Regression tests for naming of results
set.seed(290875)
library("coin")
y1 <- sample(1:20)
y2 <- rnorm(20)
x <- gl(2, 10, labels = c("A", "B"))
###
### Asymptotic
###
### Scalar
asy_scl <- independence_test(y1 ~ x, distr = "asymptotic", teststat = "scalar")
s <- statistic(asy_scl)
stopifnot(identical(dimnames( expectation(asy_scl) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(asy_scl) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(asy_scl) ), list("A", "A") ))
stopifnot( is.null( names( statistic(asy_scl, type = "test") ) )) # named in < 1.3-0
stopifnot(identical(dimnames( statistic(asy_scl, type = "linear") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(asy_scl, type = "centered") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(asy_scl, type = "standardized") ), list("A", "") ))
## stopifnot( is.null( names( support(asy_scl) ) )) # NA
stopifnot( is.null( names( dperm(asy_scl, x = s) ) ))
stopifnot(identical( names( dperm(asy_scl, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(asy_scl, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(asy_scl, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(asy_scl, q = s) ) ))
stopifnot(identical( names( pperm(asy_scl, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(asy_scl, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(asy_scl, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(asy_scl, p = 0.75) ) ))
stopifnot(identical( names( qperm(asy_scl, p = c(s = 0.75)) ), "s" ))
stopifnot( is.null(dimnames( qperm(asy_scl, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(asy_scl, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(asy_scl, n = 5) ) ))
stopifnot( is.null( names( pvalue(asy_scl, method = "global") ) ))
stopifnot( is.null( names( pvalue(asy_scl, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(asy_scl, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(asy_scl, method = "unadjusted") ) ))
## stopifnot( is.null( names( midpvalue(asy_scl) ) )) # NA
## stopifnot(identical( names(pvalue_interval(asy_scl) ), c("p_0", "p_1") )) # NA
## stopifnot( is.null( names( size(asy_scl, alpha = 0.05) ) )) # NA
rm(asy_scl, s)
### Quadratic univariate
asy_qdr_u <- independence_test(y1 ~ x, distr = "asymptotic", teststat = "quadratic")
s <- statistic(asy_qdr_u)
stopifnot(identical(dimnames( expectation(asy_qdr_u) ), list("A" , "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(asy_qdr_u) ), list("A" , "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(asy_qdr_u) ), list("A" , "A") ))
stopifnot( is.null( names( statistic(asy_qdr_u, type = "test") ) ))
stopifnot(identical(dimnames( statistic(asy_qdr_u, type = "linear") ), list("A" , "") ))
stopifnot(identical(dimnames( statistic(asy_qdr_u, type = "centered") ), list("A" , "") ))
stopifnot(identical(dimnames( statistic(asy_qdr_u, type = "standardized") ), list("A" , "") ))
## stopifnot( is.null( names( support(asy_qdr_u) ) )) # NA
stopifnot( is.null( names( dperm(asy_qdr_u, x = s) ) ))
stopifnot(identical( names( dperm(asy_qdr_u, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(asy_qdr_u, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(asy_qdr_u, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(asy_qdr_u, q = s) ) ))
stopifnot(identical( names( pperm(asy_qdr_u, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(asy_qdr_u, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(asy_qdr_u, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(asy_qdr_u, p = 0.75) ) ))
stopifnot(identical( names( qperm(asy_qdr_u, p = c(s = 0.75)) ), "s" ))
stopifnot( is.null(dimnames( qperm(asy_qdr_u, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(asy_qdr_u, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(asy_qdr_u, n = 5) ) ))
stopifnot( is.null( names( pvalue(asy_qdr_u, method = "global") ) ))
stopifnot( is.null( names( pvalue(asy_qdr_u, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(asy_qdr_u, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(asy_qdr_u, method = "unadjusted") ) ))
## stopifnot( is.null( names( midpvalue(asy_qdr_u) ) )) # NA
## stopifnot(identical( names(pvalue_interval(asy_qdr_u) ), c("p_0", "p_1") )) # NA
## stopifnot( is.null( names( size(asy_qdr_u, alpha = 0.05) ) )) # NA
rm(asy_qdr_u, s)
### Maximum
asy_mxm <- independence_test(y1 + y2 ~ x, distribution = "asymptotic", teststat = "maximum")
s <- statistic(asy_mxm)
stopifnot(identical(dimnames( expectation(asy_mxm) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(asy_mxm) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(asy_mxm) ), list(c("A:y1", "A:y2"), c("A:y1", "A:y2")) ))
stopifnot( is.null( names( statistic(asy_mxm, type = "test") ) ))
stopifnot(identical(dimnames( statistic(asy_mxm, type = "linear") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( statistic(asy_mxm, type = "centered") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( statistic(asy_mxm, type = "standardized") ), list("A", c("y1", "y2")) ))
## stopifnot( is.null( names( support(asy_mxm) ) )) # NA
## stopifnot( is.null( names( dperm(asy_mxm, x = s) ) )) # NA
## stopifnot(identical( names( dperm(asy_mxm, x = c(s = s)) ), "s" )) # NA
## stopifnot( is.null(dimnames( dperm(asy_mxm, x = matrix(s, nrow = 1)) ) )) # NA
## stopifnot(identical(dimnames( dperm(asy_mxm, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # NA
stopifnot( is.null( names( pperm(asy_mxm, q = s) ) ))
stopifnot(identical( names( pperm(asy_mxm, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(asy_mxm, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(asy_mxm, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(asy_mxm, p = 0.75) ) ))
stopifnot(identical( names( qperm(asy_mxm, p = c(s = 0.75)) ), "s" ))
stopifnot( is.null(dimnames( qperm(asy_mxm, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(asy_mxm, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
## stopifnot( is.null( names( rperm(asy_mxm, n = 5) ) )) # NA
stopifnot( is.null( names( pvalue(asy_mxm, method = "global") ) ))
stopifnot(identical(dimnames( pvalue(asy_mxm, method = "single-step") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( pvalue(asy_mxm, method = "step-down") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( pvalue(asy_mxm, method = "unadjusted") ), list("A", c("y1", "y2")) ))
## stopifnot( is.null( names( midpvalue(asy_mxm) ) )) # NA
## stopifnot(identical( names(pvalue_interval(asy_mxm) ), c("p_0", "p_1") )) # NA
## stopifnot( is.null( names( size(asy_mxm, alpha = 0.05) ) )) # NA
rm(asy_mxm, s)
### Quadratic multivariate
asy_qdr_m <- independence_test(y1 + y2 ~ x, distr = "asymptotic", teststat = "quadratic")
s <- statistic(asy_qdr_m)
stopifnot(identical(dimnames( expectation(asy_qdr_m) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(asy_qdr_m) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(asy_qdr_m) ), list(c("A:y1", "A:y2"), c("A:y1", "A:y2")) ))
stopifnot( is.null( names( statistic(asy_qdr_m, type = "test") ) ))
stopifnot(identical(dimnames( statistic(asy_qdr_m, type = "linear") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( statistic(asy_qdr_m, type = "centered") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( statistic(asy_qdr_m, type = "standardized") ), list("A", c("y1", "y2")) ))
## stopifnot( is.null( names( support(asy_qdr_m) ) )) # NA
stopifnot( is.null( names( dperm(asy_qdr_m, x = s) ) ))
stopifnot(identical( names( dperm(asy_qdr_m, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(asy_qdr_m, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(asy_qdr_m, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(asy_qdr_m, q = s) ) ))
stopifnot(identical( names( pperm(asy_qdr_m, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(asy_qdr_m, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(asy_qdr_m, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(asy_qdr_m, p = 0.75) ) ))
stopifnot(identical( names( qperm(asy_qdr_m, p = c(s = 0.75)) ), "s" ))
stopifnot( is.null(dimnames( qperm(asy_qdr_m, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(asy_qdr_m, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(asy_qdr_m, n = 5) ) ))
stopifnot( is.null( names( pvalue(asy_qdr_m, method = "global") ) ))
stopifnot( is.null( names( pvalue(asy_qdr_m, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(asy_qdr_m, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(asy_qdr_m, method = "unadjusted") ) ))
## stopifnot( is.null( names( midpvalue(asy_qdr_m) ) )) # NA
## stopifnot(identical( names(pvalue_interval(asy_qdr_m) ), c("p_0", "p_1") )) # NA
## stopifnot( is.null( names( size(asy_qdr_m, alpha = 0.05) ) )) # NA
rm(asy_qdr_m, s)
###
### Approximate
###
### Scalar
app_scl <- independence_test(y1 ~ x, distr = "approximate")
s <- statistic(app_scl)
stopifnot(identical(dimnames( expectation(app_scl) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(app_scl) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(app_scl) ), list("A", "A") ))
stopifnot( is.null( names( statistic(app_scl, type = "test") ) )) # named in < 1.3-0
stopifnot(identical(dimnames( statistic(app_scl, type = "linear") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(app_scl, type = "centered") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(app_scl, type = "standardized") ), list("A", "") ))
stopifnot( is.null( names( support(app_scl) ) ))
stopifnot( is.null( names( dperm(app_scl, x = s) ) ))
stopifnot(identical( names( dperm(app_scl, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(app_scl, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(app_scl, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(app_scl, q = s) ) ))
stopifnot(identical( names( pperm(app_scl, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(app_scl, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(app_scl, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(app_scl, p = 0.75) ) ))
stopifnot(identical( names( qperm(app_scl, p = c(s = 0.75)) ), "s" )) # unnamed in < 1.3-0
stopifnot( is.null(dimnames( qperm(app_scl, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(app_scl, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(app_scl, n = 5) ) ))
stopifnot( is.null( names( pvalue(app_scl, method = "global") ) ))
stopifnot( is.null( names( pvalue(app_scl, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(app_scl, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(app_scl, method = "unadjusted") ) ))
stopifnot( is.null( names( midpvalue(app_scl) ) ))
stopifnot(identical( names(pvalue_interval(app_scl) ), c("p_0", "p_1") ))
stopifnot( is.null( names( size(app_scl, alpha = 0.05) ) ))
rm(app_scl, s)
### Quadratic univariate
app_qdr_u <- independence_test(y1 ~ x, distr = "approximate", teststat = "quadratic")
s <- statistic(app_qdr_u)
stopifnot(identical(dimnames( expectation(app_qdr_u) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(app_qdr_u) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(app_qdr_u) ), list("A", "A") ))
stopifnot( is.null( names( statistic(app_qdr_u, type = "test") ) ))
stopifnot(identical(dimnames( statistic(app_qdr_u, type = "linear") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(app_qdr_u, type = "centered") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(app_qdr_u, type = "standardized") ), list("A", "") ))
stopifnot( is.null( names( support(app_qdr_u) ) ))
stopifnot( is.null( names( dperm(app_qdr_u, x = s) ) ))
stopifnot(identical( names( dperm(app_qdr_u, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(app_qdr_u, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(app_qdr_u, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(app_qdr_u, q = s) ) ))
stopifnot(identical( names( pperm(app_qdr_u, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(app_qdr_u, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(app_qdr_u, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(app_qdr_u, p = 0.75) ) ))
stopifnot(identical( names( qperm(app_qdr_u, p = c(s = 0.75)) ), "s" )) # unnamed in < 1.3-0
stopifnot( is.null(dimnames( qperm(app_qdr_u, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(app_qdr_u, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(app_qdr_u, n = 5) ) ))
stopifnot( is.null( names( pvalue(app_qdr_u, method = "global") ) ))
stopifnot( is.null( names( pvalue(app_qdr_u, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(app_qdr_u, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(app_qdr_u, method = "unadjusted") ) ))
stopifnot( is.null( names( midpvalue(app_qdr_u) ) ))
stopifnot(identical( names(pvalue_interval(app_qdr_u) ), c("p_0", "p_1") ))
stopifnot( is.null( names( size(app_qdr_u, alpha = 0.05) ) ))
rm(app_qdr_u, s)
### Maximum
app_mxm <- independence_test(y1 + y2 ~ x, distr = "approximate", teststat = "maximum")
s <- statistic(app_mxm)
stopifnot(identical(dimnames( expectation(app_mxm) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(app_mxm) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(app_mxm) ), list(c("A:y1", "A:y2"), c("A:y1", "A:y2")) ))
stopifnot( is.null( names( statistic(app_mxm, type = "test") ) ))
stopifnot(identical(dimnames( statistic(app_mxm, type = "linear") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( statistic(app_mxm, type = "centered") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( statistic(app_mxm, type = "standardized") ), list("A", c("y1", "y2")) ))
stopifnot( is.null( names( support(app_mxm) ) ))
stopifnot( is.null( names( dperm(app_mxm, x = s) ) ))
stopifnot(identical( names( dperm(app_mxm, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(app_mxm, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(app_mxm, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(app_mxm, q = s) ) ))
stopifnot(identical( names( pperm(app_mxm, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(app_mxm, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(app_mxm, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(app_mxm, p = 0.75) ) ))
stopifnot(identical( names( qperm(app_mxm, p = c(s = 0.75)) ), "s" )) # unnamed in < 1.3-0
stopifnot( is.null(dimnames( qperm(app_mxm, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(app_mxm, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(app_mxm, n = 5) ) ))
stopifnot( is.null( names( pvalue(app_mxm, method = "global") ) ))
stopifnot(identical(dimnames( pvalue(app_mxm, method = "single-step") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( pvalue(app_mxm, method = "step-down") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( pvalue(app_mxm, method = "unadjusted") ), list("A", c("y1", "y2")) ))
stopifnot( is.null( names( midpvalue(app_mxm) ) ))
stopifnot(identical( names(pvalue_interval(app_mxm) ), c("p_0", "p_1") ))
stopifnot( is.null( names( size(app_mxm, alpha = 0.05) ) ))
rm(app_mxm, s)
### Quadratic multivariate
app_qdr_m <- independence_test(y1 + y2 ~ x, distr = "approximate", teststat = "quadratic")
s <- statistic(app_qdr_m)
stopifnot(identical(dimnames( expectation(app_qdr_m) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(app_qdr_m) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(app_qdr_m) ), list(c("A:y1", "A:y2"), c("A:y1", "A:y2")) ))
stopifnot( is.null( names( statistic(app_qdr_m, type = "test") ) ))
stopifnot(identical(dimnames( statistic(app_qdr_m, type = "linear") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( statistic(app_qdr_m, type = "centered") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( statistic(app_qdr_m, type = "standardized") ), list("A", c("y1", "y2")) ))
stopifnot( is.null( names( support(app_qdr_m) ) ))
stopifnot( is.null( names( dperm(app_qdr_m, x = s) ) ))
stopifnot(identical( names( dperm(app_qdr_m, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(app_qdr_m, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(app_qdr_m, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(app_qdr_m, q = s) ) ))
stopifnot(identical( names( pperm(app_qdr_m, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(app_qdr_m, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(app_qdr_m, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(app_qdr_m, p = 0.75) ) ))
stopifnot(identical( names( qperm(app_qdr_m, p = c(s = 0.75)) ), "s" )) # unnamed in < 1.3-0
stopifnot( is.null(dimnames( qperm(app_qdr_m, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(app_qdr_m, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(app_qdr_m, n = 5) ) ))
stopifnot( is.null( names( pvalue(app_qdr_m, method = "global") ) ))
stopifnot( is.null( names( pvalue(app_qdr_m, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(app_qdr_m, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(app_qdr_m, method = "unadjusted") ) ))
stopifnot( is.null( names( midpvalue(app_qdr_m) ) ))
stopifnot(identical( names(pvalue_interval(app_qdr_m) ), c("p_0", "p_1") ))
stopifnot( is.null( names( size(app_qdr_m, alpha = 0.05) ) ))
rm(app_qdr_m, s)
###
### Exact using shift algorithm
###
### Scalar
shf_scl <- independence_test(y1 ~ x, distr = exact(algo = "shift"))
s <- statistic(shf_scl)
stopifnot(identical(dimnames( expectation(shf_scl) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(shf_scl) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(shf_scl) ), list("A", "A") ))
stopifnot( is.null( names( statistic(shf_scl, type = "test") ) )) # named in < 1.3-0
stopifnot(identical(dimnames( statistic(shf_scl, type = "linear") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(shf_scl, type = "centered") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(shf_scl, type = "standardized") ), list("A", "") ))
stopifnot( is.null( names( support(shf_scl) ) ))
stopifnot( is.null( names( dperm(shf_scl, x = s) ) ))
stopifnot(identical( names( dperm(shf_scl, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(shf_scl, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(shf_scl, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(shf_scl, q = s) ) ))
stopifnot(identical( names( pperm(shf_scl, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(shf_scl, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(shf_scl, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(shf_scl, p = 0.75) ) ))
stopifnot(identical( names( qperm(shf_scl, p = c(s = 0.75)) ), "s" ))
stopifnot( is.null(dimnames( qperm(shf_scl, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(shf_scl, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(shf_scl, n = 5) ) ))
stopifnot( is.null( names( pvalue(shf_scl, method = "global") ) ))
stopifnot( is.null( names( pvalue(shf_scl, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(shf_scl, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(shf_scl, method = "unadjusted") ) ))
stopifnot( is.null( names( midpvalue(shf_scl) ) ))
stopifnot(identical( names(pvalue_interval(shf_scl) ), c("p_0", "p_1") ))
stopifnot( is.null( names( size(shf_scl, alpha = 0.05) ) ))
rm(shf_scl, s)
### Quadratic univarite
shf_qdr_u <- independence_test(y1 ~ x, distr = exact(algo = "shift"), teststat = "quadratic")
s <- statistic(shf_qdr_u)
stopifnot(identical(dimnames( expectation(shf_qdr_u) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(shf_qdr_u) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(shf_qdr_u) ), list("A", "A") ))
stopifnot( is.null( names( statistic(shf_qdr_u, type = "test") ) ))
stopifnot(identical(dimnames( statistic(shf_qdr_u, type = "linear") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(shf_qdr_u, type = "centered") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(shf_qdr_u, type = "standardized") ), list("A", "") ))
stopifnot( is.null( names( support(shf_qdr_u) ) ))
stopifnot( is.null( names( dperm(shf_qdr_u, x = s) ) ))
stopifnot(identical( names( dperm(shf_qdr_u, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(shf_qdr_u, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(shf_qdr_u, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(shf_qdr_u, q = s) ) ))
stopifnot(identical( names( pperm(shf_qdr_u, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(shf_qdr_u, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(shf_qdr_u, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(shf_qdr_u, p = 0.75) ) ))
stopifnot(identical( names( qperm(shf_qdr_u, p = c(s = 0.75)) ), "s" ))
stopifnot( is.null(dimnames( qperm(shf_qdr_u, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(shf_qdr_u, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(shf_qdr_u, n = 5) ) ))
stopifnot( is.null( names( pvalue(shf_qdr_u, method = "global") ) ))
stopifnot( is.null( names( pvalue(shf_qdr_u, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(shf_qdr_u, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(shf_qdr_u, method = "unadjusted") ) ))
stopifnot( is.null( names( midpvalue(shf_qdr_u) ) ))
stopifnot(identical( names(pvalue_interval(shf_qdr_u) ), c("p_0", "p_1") ))
stopifnot( is.null( names( size(shf_qdr_u, alpha = 0.05) ) ))
rm(shf_qdr_u, s)
###
### Exact using split-up algorithm
###
### Scalar
spl_scl <- independence_test(y1 ~ x, distr = exact(algo = "split"))
s <- statistic(spl_scl)
stopifnot(identical(dimnames( expectation(spl_scl) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(spl_scl) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(spl_scl) ), list("A", "A") ))
stopifnot( is.null( names( statistic(spl_scl, type = "test") ) )) # named in < 1.3-0
stopifnot(identical(dimnames( statistic(spl_scl, type = "linear") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(spl_scl, type = "centered") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(spl_scl, type = "standardized") ), list("A", "") ))
## stopifnot( is.null( names( support(spl_scl) ) )) # NA
## stopifnot( is.null( names( dperm(spl_scl, x = s) ) )) # NA
## stopifnot(identical( names( dperm(spl_scl, x = c(s = s)) ), "s" )) # NA
## stopifnot( is.null(dimnames( dperm(spl_scl, x = matrix(s, nrow = 1)) ) )) # NA
## stopifnot(identical(dimnames( dperm(spl_scl, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # NA
stopifnot( is.null( names( pperm(spl_scl, q = s) ) ))
stopifnot(identical( names( pperm(spl_scl, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(spl_scl, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(spl_scl, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(spl_scl, p = 0.75) ) ))
stopifnot(identical( names( qperm(spl_scl, p = c(s = 0.75)) ), "s" ))
stopifnot( is.null(dimnames( qperm(spl_scl, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(spl_scl, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(spl_scl, n = 5) ) ))
stopifnot( is.null( names( pvalue(spl_scl, method = "global") ) ))
stopifnot( is.null( names( pvalue(spl_scl, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(spl_scl, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(spl_scl, method = "unadjusted") ) ))
## stopifnot( is.null( names( midpvalue(spl_scl) ) )) # NA
## stopifnot(identical( names(pvalue_interval(spl_scl) ), c("p_0", "p_1") )) # NA
## stopifnot( is.null( names( size(spl_scl, alpha = 0.05) ) )) # NA
rm(spl_scl, s)
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### Regression tests for naming of results
set.seed(290875)
library("coin")
y1 <- sample(1:20)
y2 <- rnorm(20)
x <- gl(2, 10, labels = c("A", "B"))
###
### Asymptotic
###
### Scalar
asy_scl <- independence_test(y1 ~ x, distr = "asymptotic", teststat = "scalar")
s <- statistic(asy_scl)
stopifnot(identical(dimnames( expectation(asy_scl) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(asy_scl) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(asy_scl) ), list("A", "A") ))
stopifnot( is.null( names( statistic(asy_scl, type = "test") ) )) # named in < 1.3-0
stopifnot(identical(dimnames( statistic(asy_scl, type = "linear") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(asy_scl, type = "centered") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(asy_scl, type = "standardized") ), list("A", "") ))
## stopifnot( is.null( names( support(asy_scl) ) )) # NA
stopifnot( is.null( names( dperm(asy_scl, x = s) ) ))
stopifnot(identical( names( dperm(asy_scl, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(asy_scl, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(asy_scl, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(asy_scl, q = s) ) ))
stopifnot(identical( names( pperm(asy_scl, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(asy_scl, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(asy_scl, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(asy_scl, p = 0.75) ) ))
stopifnot(identical( names( qperm(asy_scl, p = c(s = 0.75)) ), "s" ))
stopifnot( is.null(dimnames( qperm(asy_scl, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(asy_scl, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(asy_scl, n = 5) ) ))
stopifnot( is.null( names( pvalue(asy_scl, method = "global") ) ))
stopifnot( is.null( names( pvalue(asy_scl, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(asy_scl, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(asy_scl, method = "unadjusted") ) ))
## stopifnot( is.null( names( midpvalue(asy_scl) ) )) # NA
## stopifnot(identical( names(pvalue_interval(asy_scl) ), c("p_0", "p_1") )) # NA
## stopifnot( is.null( names( size(asy_scl, alpha = 0.05) ) )) # NA
rm(asy_scl, s)
### Quadratic univariate
asy_qdr_u <- independence_test(y1 ~ x, distr = "asymptotic", teststat = "quadratic")
s <- statistic(asy_qdr_u)
stopifnot(identical(dimnames( expectation(asy_qdr_u) ), list("A" , "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(asy_qdr_u) ), list("A" , "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(asy_qdr_u) ), list("A" , "A") ))
stopifnot( is.null( names( statistic(asy_qdr_u, type = "test") ) ))
stopifnot(identical(dimnames( statistic(asy_qdr_u, type = "linear") ), list("A" , "") ))
stopifnot(identical(dimnames( statistic(asy_qdr_u, type = "centered") ), list("A" , "") ))
stopifnot(identical(dimnames( statistic(asy_qdr_u, type = "standardized") ), list("A" , "") ))
## stopifnot( is.null( names( support(asy_qdr_u) ) )) # NA
stopifnot( is.null( names( dperm(asy_qdr_u, x = s) ) ))
stopifnot(identical( names( dperm(asy_qdr_u, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(asy_qdr_u, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(asy_qdr_u, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(asy_qdr_u, q = s) ) ))
stopifnot(identical( names( pperm(asy_qdr_u, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(asy_qdr_u, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(asy_qdr_u, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(asy_qdr_u, p = 0.75) ) ))
stopifnot(identical( names( qperm(asy_qdr_u, p = c(s = 0.75)) ), "s" ))
stopifnot( is.null(dimnames( qperm(asy_qdr_u, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(asy_qdr_u, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(asy_qdr_u, n = 5) ) ))
stopifnot( is.null( names( pvalue(asy_qdr_u, method = "global") ) ))
stopifnot( is.null( names( pvalue(asy_qdr_u, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(asy_qdr_u, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(asy_qdr_u, method = "unadjusted") ) ))
## stopifnot( is.null( names( midpvalue(asy_qdr_u) ) )) # NA
## stopifnot(identical( names(pvalue_interval(asy_qdr_u) ), c("p_0", "p_1") )) # NA
## stopifnot( is.null( names( size(asy_qdr_u, alpha = 0.05) ) )) # NA
rm(asy_qdr_u, s)
### Maximum
asy_mxm <- independence_test(y1 + y2 ~ x, distribution = "asymptotic", teststat = "maximum")
s <- statistic(asy_mxm)
stopifnot(identical(dimnames( expectation(asy_mxm) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(asy_mxm) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(asy_mxm) ), list(c("A:y1", "A:y2"), c("A:y1", "A:y2")) ))
stopifnot( is.null( names( statistic(asy_mxm, type = "test") ) ))
stopifnot(identical(dimnames( statistic(asy_mxm, type = "linear") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( statistic(asy_mxm, type = "centered") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( statistic(asy_mxm, type = "standardized") ), list("A", c("y1", "y2")) ))
## stopifnot( is.null( names( support(asy_mxm) ) )) # NA
## stopifnot( is.null( names( dperm(asy_mxm, x = s) ) )) # NA
## stopifnot(identical( names( dperm(asy_mxm, x = c(s = s)) ), "s" )) # NA
## stopifnot( is.null(dimnames( dperm(asy_mxm, x = matrix(s, nrow = 1)) ) )) # NA
## stopifnot(identical(dimnames( dperm(asy_mxm, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # NA
stopifnot( is.null( names( pperm(asy_mxm, q = s) ) ))
stopifnot(identical( names( pperm(asy_mxm, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(asy_mxm, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(asy_mxm, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(asy_mxm, p = 0.75) ) ))
stopifnot(identical( names( qperm(asy_mxm, p = c(s = 0.75)) ), "s" ))
stopifnot( is.null(dimnames( qperm(asy_mxm, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(asy_mxm, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
## stopifnot( is.null( names( rperm(asy_mxm, n = 5) ) )) # NA
stopifnot( is.null( names( pvalue(asy_mxm, method = "global") ) ))
stopifnot(identical(dimnames( pvalue(asy_mxm, method = "single-step") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( pvalue(asy_mxm, method = "step-down") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( pvalue(asy_mxm, method = "unadjusted") ), list("A", c("y1", "y2")) ))
## stopifnot( is.null( names( midpvalue(asy_mxm) ) )) # NA
## stopifnot(identical( names(pvalue_interval(asy_mxm) ), c("p_0", "p_1") )) # NA
## stopifnot( is.null( names( size(asy_mxm, alpha = 0.05) ) )) # NA
rm(asy_mxm, s)
### Quadratic multivariate
asy_qdr_m <- independence_test(y1 + y2 ~ x, distr = "asymptotic", teststat = "quadratic")
s <- statistic(asy_qdr_m)
stopifnot(identical(dimnames( expectation(asy_qdr_m) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(asy_qdr_m) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(asy_qdr_m) ), list(c("A:y1", "A:y2"), c("A:y1", "A:y2")) ))
stopifnot( is.null( names( statistic(asy_qdr_m, type = "test") ) ))
stopifnot(identical(dimnames( statistic(asy_qdr_m, type = "linear") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( statistic(asy_qdr_m, type = "centered") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( statistic(asy_qdr_m, type = "standardized") ), list("A", c("y1", "y2")) ))
## stopifnot( is.null( names( support(asy_qdr_m) ) )) # NA
stopifnot( is.null( names( dperm(asy_qdr_m, x = s) ) ))
stopifnot(identical( names( dperm(asy_qdr_m, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(asy_qdr_m, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(asy_qdr_m, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(asy_qdr_m, q = s) ) ))
stopifnot(identical( names( pperm(asy_qdr_m, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(asy_qdr_m, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(asy_qdr_m, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(asy_qdr_m, p = 0.75) ) ))
stopifnot(identical( names( qperm(asy_qdr_m, p = c(s = 0.75)) ), "s" ))
stopifnot( is.null(dimnames( qperm(asy_qdr_m, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(asy_qdr_m, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(asy_qdr_m, n = 5) ) ))
stopifnot( is.null( names( pvalue(asy_qdr_m, method = "global") ) ))
stopifnot( is.null( names( pvalue(asy_qdr_m, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(asy_qdr_m, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(asy_qdr_m, method = "unadjusted") ) ))
## stopifnot( is.null( names( midpvalue(asy_qdr_m) ) )) # NA
## stopifnot(identical( names(pvalue_interval(asy_qdr_m) ), c("p_0", "p_1") )) # NA
## stopifnot( is.null( names( size(asy_qdr_m, alpha = 0.05) ) )) # NA
rm(asy_qdr_m, s)
###
### Approximate
###
### Scalar
app_scl <- independence_test(y1 ~ x, distr = "approximate")
s <- statistic(app_scl)
stopifnot(identical(dimnames( expectation(app_scl) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(app_scl) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(app_scl) ), list("A", "A") ))
stopifnot( is.null( names( statistic(app_scl, type = "test") ) )) # named in < 1.3-0
stopifnot(identical(dimnames( statistic(app_scl, type = "linear") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(app_scl, type = "centered") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(app_scl, type = "standardized") ), list("A", "") ))
stopifnot( is.null( names( support(app_scl) ) ))
stopifnot( is.null( names( dperm(app_scl, x = s) ) ))
stopifnot(identical( names( dperm(app_scl, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(app_scl, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(app_scl, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(app_scl, q = s) ) ))
stopifnot(identical( names( pperm(app_scl, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(app_scl, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(app_scl, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(app_scl, p = 0.75) ) ))
stopifnot(identical( names( qperm(app_scl, p = c(s = 0.75)) ), "s" )) # unnamed in < 1.3-0
stopifnot( is.null(dimnames( qperm(app_scl, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(app_scl, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(app_scl, n = 5) ) ))
stopifnot( is.null( names( pvalue(app_scl, method = "global") ) ))
stopifnot( is.null( names( pvalue(app_scl, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(app_scl, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(app_scl, method = "unadjusted") ) ))
stopifnot( is.null( names( midpvalue(app_scl) ) ))
stopifnot(identical( names(pvalue_interval(app_scl) ), c("p_0", "p_1") ))
stopifnot( is.null( names( size(app_scl, alpha = 0.05) ) ))
rm(app_scl, s)
### Quadratic univariate
app_qdr_u <- independence_test(y1 ~ x, distr = "approximate", teststat = "quadratic")
s <- statistic(app_qdr_u)
stopifnot(identical(dimnames( expectation(app_qdr_u) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(app_qdr_u) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(app_qdr_u) ), list("A", "A") ))
stopifnot( is.null( names( statistic(app_qdr_u, type = "test") ) ))
stopifnot(identical(dimnames( statistic(app_qdr_u, type = "linear") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(app_qdr_u, type = "centered") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(app_qdr_u, type = "standardized") ), list("A", "") ))
stopifnot( is.null( names( support(app_qdr_u) ) ))
stopifnot( is.null( names( dperm(app_qdr_u, x = s) ) ))
stopifnot(identical( names( dperm(app_qdr_u, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(app_qdr_u, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(app_qdr_u, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(app_qdr_u, q = s) ) ))
stopifnot(identical( names( pperm(app_qdr_u, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(app_qdr_u, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(app_qdr_u, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(app_qdr_u, p = 0.75) ) ))
stopifnot(identical( names( qperm(app_qdr_u, p = c(s = 0.75)) ), "s" )) # unnamed in < 1.3-0
stopifnot( is.null(dimnames( qperm(app_qdr_u, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(app_qdr_u, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(app_qdr_u, n = 5) ) ))
stopifnot( is.null( names( pvalue(app_qdr_u, method = "global") ) ))
stopifnot( is.null( names( pvalue(app_qdr_u, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(app_qdr_u, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(app_qdr_u, method = "unadjusted") ) ))
stopifnot( is.null( names( midpvalue(app_qdr_u) ) ))
stopifnot(identical( names(pvalue_interval(app_qdr_u) ), c("p_0", "p_1") ))
stopifnot( is.null( names( size(app_qdr_u, alpha = 0.05) ) ))
rm(app_qdr_u, s)
### Maximum
app_mxm <- independence_test(y1 + y2 ~ x, distr = "approximate", teststat = "maximum")
s <- statistic(app_mxm)
stopifnot(identical(dimnames( expectation(app_mxm) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(app_mxm) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(app_mxm) ), list(c("A:y1", "A:y2"), c("A:y1", "A:y2")) ))
stopifnot( is.null( names( statistic(app_mxm, type = "test") ) ))
stopifnot(identical(dimnames( statistic(app_mxm, type = "linear") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( statistic(app_mxm, type = "centered") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( statistic(app_mxm, type = "standardized") ), list("A", c("y1", "y2")) ))
stopifnot( is.null( names( support(app_mxm) ) ))
stopifnot( is.null( names( dperm(app_mxm, x = s) ) ))
stopifnot(identical( names( dperm(app_mxm, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(app_mxm, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(app_mxm, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(app_mxm, q = s) ) ))
stopifnot(identical( names( pperm(app_mxm, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(app_mxm, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(app_mxm, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(app_mxm, p = 0.75) ) ))
stopifnot(identical( names( qperm(app_mxm, p = c(s = 0.75)) ), "s" )) # unnamed in < 1.3-0
stopifnot( is.null(dimnames( qperm(app_mxm, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(app_mxm, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(app_mxm, n = 5) ) ))
stopifnot( is.null( names( pvalue(app_mxm, method = "global") ) ))
stopifnot(identical(dimnames( pvalue(app_mxm, method = "single-step") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( pvalue(app_mxm, method = "step-down") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( pvalue(app_mxm, method = "unadjusted") ), list("A", c("y1", "y2")) ))
stopifnot( is.null( names( midpvalue(app_mxm) ) ))
stopifnot(identical( names(pvalue_interval(app_mxm) ), c("p_0", "p_1") ))
stopifnot( is.null( names( size(app_mxm, alpha = 0.05) ) ))
rm(app_mxm, s)
### Quadratic multivariate
app_qdr_m <- independence_test(y1 + y2 ~ x, distr = "approximate", teststat = "quadratic")
s <- statistic(app_qdr_m)
stopifnot(identical(dimnames( expectation(app_qdr_m) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(app_qdr_m) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(app_qdr_m) ), list(c("A:y1", "A:y2"), c("A:y1", "A:y2")) ))
stopifnot( is.null( names( statistic(app_qdr_m, type = "test") ) ))
stopifnot(identical(dimnames( statistic(app_qdr_m, type = "linear") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( statistic(app_qdr_m, type = "centered") ), list("A", c("y1", "y2")) ))
stopifnot(identical(dimnames( statistic(app_qdr_m, type = "standardized") ), list("A", c("y1", "y2")) ))
stopifnot( is.null( names( support(app_qdr_m) ) ))
stopifnot( is.null( names( dperm(app_qdr_m, x = s) ) ))
stopifnot(identical( names( dperm(app_qdr_m, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(app_qdr_m, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(app_qdr_m, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(app_qdr_m, q = s) ) ))
stopifnot(identical( names( pperm(app_qdr_m, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(app_qdr_m, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(app_qdr_m, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(app_qdr_m, p = 0.75) ) ))
stopifnot(identical( names( qperm(app_qdr_m, p = c(s = 0.75)) ), "s" )) # unnamed in < 1.3-0
stopifnot( is.null(dimnames( qperm(app_qdr_m, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(app_qdr_m, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(app_qdr_m, n = 5) ) ))
stopifnot( is.null( names( pvalue(app_qdr_m, method = "global") ) ))
stopifnot( is.null( names( pvalue(app_qdr_m, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(app_qdr_m, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(app_qdr_m, method = "unadjusted") ) ))
stopifnot( is.null( names( midpvalue(app_qdr_m) ) ))
stopifnot(identical( names(pvalue_interval(app_qdr_m) ), c("p_0", "p_1") ))
stopifnot( is.null( names( size(app_qdr_m, alpha = 0.05) ) ))
rm(app_qdr_m, s)
###
### Exact using shift algorithm
###
### Scalar
shf_scl <- independence_test(y1 ~ x, distr = exact(algo = "shift"))
s <- statistic(shf_scl)
stopifnot(identical(dimnames( expectation(shf_scl) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(shf_scl) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(shf_scl) ), list("A", "A") ))
stopifnot( is.null( names( statistic(shf_scl, type = "test") ) )) # named in < 1.3-0
stopifnot(identical(dimnames( statistic(shf_scl, type = "linear") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(shf_scl, type = "centered") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(shf_scl, type = "standardized") ), list("A", "") ))
stopifnot( is.null( names( support(shf_scl) ) ))
stopifnot( is.null( names( dperm(shf_scl, x = s) ) ))
stopifnot(identical( names( dperm(shf_scl, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(shf_scl, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(shf_scl, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(shf_scl, q = s) ) ))
stopifnot(identical( names( pperm(shf_scl, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(shf_scl, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(shf_scl, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(shf_scl, p = 0.75) ) ))
stopifnot(identical( names( qperm(shf_scl, p = c(s = 0.75)) ), "s" ))
stopifnot( is.null(dimnames( qperm(shf_scl, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(shf_scl, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(shf_scl, n = 5) ) ))
stopifnot( is.null( names( pvalue(shf_scl, method = "global") ) ))
stopifnot( is.null( names( pvalue(shf_scl, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(shf_scl, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(shf_scl, method = "unadjusted") ) ))
stopifnot( is.null( names( midpvalue(shf_scl) ) ))
stopifnot(identical( names(pvalue_interval(shf_scl) ), c("p_0", "p_1") ))
stopifnot( is.null( names( size(shf_scl, alpha = 0.05) ) ))
rm(shf_scl, s)
### Quadratic univarite
shf_qdr_u <- independence_test(y1 ~ x, distr = exact(algo = "shift"), teststat = "quadratic")
s <- statistic(shf_qdr_u)
stopifnot(identical(dimnames( expectation(shf_qdr_u) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(shf_qdr_u) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(shf_qdr_u) ), list("A", "A") ))
stopifnot( is.null( names( statistic(shf_qdr_u, type = "test") ) ))
stopifnot(identical(dimnames( statistic(shf_qdr_u, type = "linear") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(shf_qdr_u, type = "centered") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(shf_qdr_u, type = "standardized") ), list("A", "") ))
stopifnot( is.null( names( support(shf_qdr_u) ) ))
stopifnot( is.null( names( dperm(shf_qdr_u, x = s) ) ))
stopifnot(identical( names( dperm(shf_qdr_u, x = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( dperm(shf_qdr_u, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( dperm(shf_qdr_u, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( pperm(shf_qdr_u, q = s) ) ))
stopifnot(identical( names( pperm(shf_qdr_u, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(shf_qdr_u, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(shf_qdr_u, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(shf_qdr_u, p = 0.75) ) ))
stopifnot(identical( names( qperm(shf_qdr_u, p = c(s = 0.75)) ), "s" ))
stopifnot( is.null(dimnames( qperm(shf_qdr_u, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(shf_qdr_u, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(shf_qdr_u, n = 5) ) ))
stopifnot( is.null( names( pvalue(shf_qdr_u, method = "global") ) ))
stopifnot( is.null( names( pvalue(shf_qdr_u, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(shf_qdr_u, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(shf_qdr_u, method = "unadjusted") ) ))
stopifnot( is.null( names( midpvalue(shf_qdr_u) ) ))
stopifnot(identical( names(pvalue_interval(shf_qdr_u) ), c("p_0", "p_1") ))
stopifnot( is.null( names( size(shf_qdr_u, alpha = 0.05) ) ))
rm(shf_qdr_u, s)
###
### Exact using split-up algorithm
###
### Scalar
spl_scl <- independence_test(y1 ~ x, distr = exact(algo = "split"))
s <- statistic(spl_scl)
stopifnot(identical(dimnames( expectation(spl_scl) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( variance(spl_scl) ), list("A", "") )) # non-matrix in < 1.4-0
stopifnot(identical(dimnames( covariance(spl_scl) ), list("A", "A") ))
stopifnot( is.null( names( statistic(spl_scl, type = "test") ) )) # named in < 1.3-0
stopifnot(identical(dimnames( statistic(spl_scl, type = "linear") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(spl_scl, type = "centered") ), list("A", "") ))
stopifnot(identical(dimnames( statistic(spl_scl, type = "standardized") ), list("A", "") ))
## stopifnot( is.null( names( support(spl_scl) ) )) # NA
## stopifnot( is.null( names( dperm(spl_scl, x = s) ) )) # NA
## stopifnot(identical( names( dperm(spl_scl, x = c(s = s)) ), "s" )) # NA
## stopifnot( is.null(dimnames( dperm(spl_scl, x = matrix(s, nrow = 1)) ) )) # NA
## stopifnot(identical(dimnames( dperm(spl_scl, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # NA
stopifnot( is.null( names( pperm(spl_scl, q = s) ) ))
stopifnot(identical( names( pperm(spl_scl, q = c(s = s)) ), "s" ))
stopifnot( is.null(dimnames( pperm(spl_scl, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( pperm(spl_scl, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( qperm(spl_scl, p = 0.75) ) ))
stopifnot(identical( names( qperm(spl_scl, p = c(s = 0.75)) ), "s" ))
stopifnot( is.null(dimnames( qperm(spl_scl, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
stopifnot(identical(dimnames( qperm(spl_scl, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
stopifnot( is.null( names( rperm(spl_scl, n = 5) ) ))
stopifnot( is.null( names( pvalue(spl_scl, method = "global") ) ))
stopifnot( is.null( names( pvalue(spl_scl, method = "single-step") ) ))
stopifnot( is.null( names( pvalue(spl_scl, method = "step-down") ) ))
stopifnot( is.null( names( pvalue(spl_scl, method = "unadjusted") ) ))
## stopifnot( is.null( names( midpvalue(spl_scl) ) )) # NA
## stopifnot(identical( names(pvalue_interval(spl_scl) ), c("p_0", "p_1") )) # NA
## stopifnot( is.null( names( size(spl_scl, alpha = 0.05) ) )) # NA
rm(spl_scl, s)
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