# # Anisotropy profile assuming compression in one dimension
# #
# # Given a direction i, compute the anisotropy profile for set a compressions.
# #
# # @param x point pattern, list(x=coords, bbox=bounding-box)
# # @param i direction of compression.
# # @param cvec vector of compressions to go through
# # @param ... passed on to anistropy.abs
# # @export
# #
#
# anisotropy_profile <- function(x, i=1, cvec, verb=TRUE, ...) {
# profile <- NULL
# cat2 <- if(verb) cat else function(...)NULL
# if(is.null(x$bbox)) stop("x should be list(x=coords, bbox=bounding-box)")
# dim <- ncol(x$x)
# dxyz <- rep(1, dim)
# # inverse transform the pattern
# f <- function(ce) {
# dxyz[i] <- 1/ce
# dxyz[-i] <- ce^(1/(dim-1))
# A <- diag(dxyz)[1:dim, 1:dim]
# bnod <- as.matrix(expand.grid(as.data.frame(x$bbox)))%*%A
# list(x=t(t(as.matrix(x$x) %*% A)), bbox=apply(bnod,2,range))
# }
# k<-0
# vals <- list()
# for(ce in cvec) {
# # deform
# xd <- f(ce)
# vals[[paste0("c",ce)]] <- anisotropy.abs(xd, ...)
# profile <- c(profile, vals[[paste0("c",ce)]]$statistic)
# cat2(k<-k+1, "/", length(cvec), " \r")
# }
# cat2("\nDone.")
# profile <- data.frame(compression=cvec, anisotropy=profile)
#
# list(profile=profile, raw=vals)
# }
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