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tests/testthat/test-running.r

tests/testthat/test-running.r
In fromo: Fast Robust Moments 

# Copyright 2016 Steven E. Pav. All Rights Reserved.
# Author: Steven E. Pav

# This file is part of fromo.
#
# fromo is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# fromo is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with fromo.  If not, see <http://www.gnu.org/licenses/>.

# env var:
# nb: 
# see also:
# todo:
# changelog: 
#
# Created: 2016.03.25
# Copyright: Steven E. Pav, 2016-2019
# Author: Steven E. Pav
# Comments: Steven E. Pav

# helpers#FOLDUP
set.char.seed <- function(str) {
	set.seed(as.integer(charToRaw(str)))
}
#UNFOLD

context("running_foo run without error")
test_that("running sd, skew, kurt run without error",{#FOLDUP
	skip_on_cran()

	set.char.seed("7097f6ae-eac7-4e3a-b2cc-e9d4a01d43f7")
	x <- rnorm(100)
	y <- as.integer(x)
	z <- as.logical(y)
	q <- c('a','b','c')

	ptiles <- c(0.1,0.25,0.5,0.75,0.9)

	for (thingy in list(x,y,z)) { 
		for (window in c(50,Inf)) {
			for (na_rm in c(FALSE,TRUE)) {
				expect_error(running_sum(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
				expect_error(running_mean(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
				expect_error(running_sd(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
				expect_error(running_skew(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
				expect_error(running_kurt(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
				expect_error(running_sd3(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
				expect_error(running_skew4(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
				expect_error(running_kurt5(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
				for (mol in c(1L,2L,5L)) {
					expect_error(running_cent_moments(thingy,max_order=mol,window=window,restart_period=50L,na_rm=na_rm),NA)
					expect_error(running_cent_moments(thingy,max_order=mol,window=window,restart_period=50L,na_rm=na_rm,max_order_only=TRUE),NA)
				}
				expect_error(running_std_moments(thingy,max_order=5L,window=window,restart_period=50L,na_rm=na_rm),NA)
				expect_error(running_cumulants(thingy,max_order=5L,window=window,restart_period=50L,na_rm=na_rm),NA)
				expect_error(running_apx_quantiles(thingy,p=ptiles,max_order=5L,window=window,restart_period=50L,na_rm=na_rm),NA)
			}
		}
	}
	for (thingy in list(x,y,z)) { 
		for (min_df in c(2L,10L)) {
			expect_error(running_mean(thingy,window=window,min_df=min_df),NA)
			expect_error(running_sd(thingy,window=window,min_df=min_df),NA)
			expect_error(running_skew(thingy,window=window,min_df=min_df),NA)
			expect_error(running_kurt(thingy,window=window,min_df=min_df),NA)
			expect_error(running_sd3(thingy,window=window,min_df=min_df),NA)
			expect_error(running_skew4(thingy,window=window,min_df=min_df),NA)
			expect_error(running_kurt5(thingy,window=window,min_df=min_df),NA)
			for (mol in c(1L,2L,5L)) {
				expect_error(running_cent_moments(thingy,max_order=mol,window=window,min_df=min_df),NA)
				expect_error(running_cent_moments(thingy,max_order=mol,window=window,min_df=min_df,max_order_only=TRUE),NA)
			}
			expect_error(running_std_moments(thingy,max_order=5L,window=window,min_df=min_df),NA)
			expect_error(running_cumulants(thingy,max_order=5L,window=window,min_df=min_df),NA)
			expect_error(running_apx_quantiles(thingy,p=ptiles,max_order=5L,window=window,min_df=min_df),NA)
		}
	}

	# will not work on character input
	expect_error(running_sum(q))
	expect_error(running_mean(q))
	expect_error(running_sd(q))
	expect_error(running_skew(q))
	expect_error(running_kurt(q))
	expect_error(running_sd3(q))
	expect_error(running_skew4(q))
	expect_error(running_kurt5(q))
	expect_error(running_cent_moments(q,max_order=5L))
	expect_error(running_cent_moments(q,max_order=5L,max_order_only=TRUE))
	expect_error(running_std_moments(q,max_order=5L))
	expect_error(running_cumulants(q,max_order=5L))
	expect_error(running_apx_quantiles(q,p=ptiles,max_order=5L))
	# this crashes R when I run it:
	#expect_error(running_apx_quantiles(x,p=q,max_order=5L))
	expect_error(running_apx_median(q,p=ptiles,max_order=5L))
})#UNFOLD
context("running_foo weighted OK")
test_that("running foo and weights",{#FOLDUP
	skip_on_cran()

	set.char.seed("7097f6ae-eac7-4e3a-b2cc-e9d4a01d43f7")
	nel <- 20
	xna <- rnorm(nel)
	xna[xna < -0.5] <- NA
	xall <- list(rnorm(nel),
							 xna,
							 as.integer(rnorm(nel,sd=100)))

	wna <- runif(nel,min=1,max=3)
	wna[wna < 1.5] <- NA
	wall <- list(rep(1.0,nel),
							 runif(nel,min=0.9,max=3.5),
							 wna,
							 NULL)

	ptiles <- c(0.1,0.25,0.5,0.75,0.9)

	for (thingy in xall) {
		for (wts in wall) {
			for (window in c(5,21,Inf,NULL)) {
				for (na_rm in c(FALSE,TRUE)) {
						expect_error(running_sum(thingy,wts=wts,window=window,restart_period=2L,na_rm=na_rm),NA)

						expect_error(running_sum(thingy,wts=wts,window=window,restart_period=50L,na_rm=na_rm),NA)
						expect_error(running_mean(thingy,wts=wts,window=window,restart_period=50L,na_rm=na_rm),NA)
						expect_error(running_sd(thingy,wts=wts,window=window,restart_period=50L,na_rm=na_rm),NA)
						expect_error(running_skew(thingy,wts=wts,window=window,restart_period=50L,na_rm=na_rm),NA)
						expect_error(running_kurt(thingy,wts=wts,window=window,restart_period=50L,na_rm=na_rm),NA)
						expect_error(running_sd3(thingy,wts=wts,window=window,restart_period=50L,na_rm=na_rm),NA)
						expect_error(running_skew4(thingy,wts=wts,window=window,restart_period=50L,na_rm=na_rm),NA)
						expect_error(running_kurt5(thingy,wts=wts,window=window,restart_period=50L,na_rm=na_rm),NA)
						for (mol in c(1L,2L,5L)) {
							expect_error(running_cent_moments(thingy,wts=wts,max_order=mol,window=window,restart_period=50L,na_rm=na_rm),NA)
							expect_error(running_cent_moments(thingy,wts=wts,max_order=mol,window=window,restart_period=50L,na_rm=na_rm,max_order_only=TRUE),NA)
						}
						expect_error(running_std_moments(thingy,wts=wts,max_order=5L,window=window,restart_period=50L,na_rm=na_rm),NA)
						expect_error(running_cumulants(thingy,wts=wts,max_order=5L,window=window,restart_period=50L,na_rm=na_rm),NA)
						expect_error(running_apx_quantiles(thingy,wts=wts,p=ptiles,max_order=5L,window=window,restart_period=50L,na_rm=na_rm),NA)
						expect_error(running_apx_median(thingy,wts=wts,max_order=5L,window=window,restart_period=50L,na_rm=na_rm),NA)

						#expect_error(running_centered(thingy,wts=wts,window=window,restart_period=50L,na_rm=na_rm),NA)

						for (lookahead in c(0L,8L)) {
							expect_error(running_centered(thingy,wts=wts,window=window,restart_period=50L,lookahead=lookahead,na_rm=na_rm),NA)
							expect_error(running_scaled(thingy,wts=wts,window=window,restart_period=50L,lookahead=lookahead,na_rm=na_rm),NA)
							expect_error(running_zscored(thingy,wts=wts,window=window,restart_period=50L,lookahead=lookahead,na_rm=na_rm),NA)
						}
						expect_error(running_sharpe(thingy,wts=wts,window=window,restart_period=50L,na_rm=na_rm),NA)
						expect_error(running_sharpe(thingy,wts=wts,window=window,restart_period=50L,na_rm=na_rm,compute_se=TRUE),NA)
						expect_error(running_tstat(thingy,wts=wts,window=window,restart_period=50L,na_rm=na_rm),NA)
				}
			}
		}
	}


})#UNFOLD

context("running_sum every way")
test_that("running sum",{#FOLDUP
	skip_on_cran()

	set.char.seed("20c032c9-deb2-4000-9d73-b7d8395b67b2")
	nel <- 20
	xna <- rnorm(nel)
	xna[xna < -0.5] <- NA
	xall <- list(rnorm(nel),
							 xna,
							 as.integer(rnorm(nel,sd=100)))

	wna <- runif(nel,min=1,max=3)
	wna[wna < 1.5] <- NA
	wall <- list(rep(1.0,nel),
							 runif(nel,min=0.9,max=3.5),
							 wna,
							 as.integer(ceiling(runif(nel,min=2,max=100))),
							 as.logical(ceiling(pmax(0,rnorm(nel)))),
							 NULL)

	for (thingy in xall) {
		for (wts in wall) {
			for (window in c(5,21,Inf,NULL)) {
				for (na_rm in c(FALSE,TRUE)) {
					for (rp in c(1L,40L)) {
						expect_error(running_sum(thingy,wts=wts,window=window,restart_period=rp,na_rm=na_rm),NA)
					}
				}
			}
		}
	}


})#UNFOLD

context("running foo input params")
test_that("window as integer or double",{#FOLDUP
	skip_on_cran()

	set.char.seed("da774aca-bbde-4350-87b2-d21ed0c84124")
	nel <- 40
	thingy <- rnorm(nel)
	iwin <- 50L
	dwin <- as.numeric(iwin)
	charwin <- 'window'

	expect_error(rd <- running_sum(thingy,window=dwin),NA)
	expect_error(ri <- running_sum(thingy,window=iwin),NA)
	expect_equal(rd,ri,tolerance=1e-12)
	expect_error(running_sum(thingy,window=charwin))

	expect_error(rd <- running_mean(thingy,window=dwin),NA)
	expect_error(ri <- running_mean(thingy,window=iwin),NA)
	expect_equal(rd,ri,tolerance=1e-12)
	expect_error(running_mean(thingy,window=charwin))

	expect_error(rd <- running_sd(thingy,window=dwin),NA)
	expect_error(ri <- running_sd(thingy,window=iwin),NA)
	expect_equal(rd,ri,tolerance=1e-12)
	expect_error(running_sd(thingy,window=charwin))

	expect_error(rd <- running_skew(thingy,window=dwin),NA)
	expect_error(ri <- running_skew(thingy,window=iwin),NA)
	expect_equal(rd,ri,tolerance=1e-12)
	expect_error(running_skew(thingy,window=charwin))

	expect_error(rd <- running_kurt(thingy,window=dwin),NA)
	expect_error(ri <- running_kurt(thingy,window=iwin),NA)
	expect_equal(rd,ri,tolerance=1e-12)
	expect_error(running_kurt(thingy,window=charwin))

	expect_error(rd <- running_sd3(thingy,window=dwin),NA)
	expect_error(ri <- running_sd3(thingy,window=iwin),NA)
	expect_equal(rd,ri,tolerance=1e-12)
	expect_error(running_sd3(thingy,window=charwin))

	expect_error(rd <- running_skew4(thingy,window=dwin),NA)
	expect_error(ri <- running_skew4(thingy,window=iwin),NA)
	expect_equal(rd,ri,tolerance=1e-12)
	expect_error(running_skew4(thingy,window=charwin))

	expect_error(rd <- running_kurt5(thingy,window=dwin),NA)
	expect_error(ri <- running_kurt5(thingy,window=iwin),NA)
	expect_equal(rd,ri,tolerance=1e-12)
	expect_error(running_kurt5(thingy,window=charwin))



})#UNFOLD
test_that("bad input",{#FOLDUP
	skip_on_cran()

	set.char.seed("e6bc7b67-8ba5-4c48-aeed-180a27d3303c")
	nel <- 10
	thingy <- rnorm(nel)
	# for some reason, these now cause R to abort? auuggggh!

	#expect_error(rd <- running_sum(thingy,window='bad idea'))
	#expect_error(rd <- running_mean(thingy,window=5,restart_period='dumb'))
	#expect_error(rd <- running_mean(thingy,window=5,min_df='dumb'))
	#expect_error(rd <- running_mean(thingy,window=5,na_rm='dumb'))
	#expect_error(rd <- running_sd3(thingy,window=5,used_df='dumb'))
	#expect_error(rd <- running_sd3(thingy,window=5,check_wts='dumb'))
	#expect_error(rd <- running_sd3(thingy,window=5,normalize_wts='dumb'))
})#UNFOLD
context("running_foo make it hit heywood?")
test_that("hit heywood branch",{#FOLDUP
	skip_on_cran()

	ptiles <- c(0.1,0.25,0.5,0.75,0.9)

	set.char.seed("3d318f1d-9921-4a20-84fc-c5ffc722d52c")
	xvals <- list(rnorm(1e5,mean=1e10))
	x <- rnorm(1e4)
	x[x < 1.0] <- NA
	xvals[[length(xvals)+1]] <- x
	x <- rnorm(1e4)
	x[x < 1.5] <- NA
	xvals[[length(xvals)+1]] <- x

	for (x in xvals) {
		window <- 500L
		restart_period <- 100000L
		na_rm <- TRUE
		# no heywood branch for these?
		expect_error(running_sum(x,window=window,restart_period=restart_period,na_rm=na_rm),NA)
		expect_error(running_mean(x,window=window,restart_period=restart_period,na_rm=na_rm),NA)

		expect_error(running_sd3(x,window=window,restart_period=restart_period,na_rm=na_rm),NA)
		expect_error(running_skew4(x,window=window,restart_period=restart_period,na_rm=na_rm),NA)
		expect_error(running_kurt5(x,window=window,restart_period=restart_period,na_rm=na_rm),NA)
		expect_error(running_cent_moments(x,max_order=5L,window=window,restart_period=restart_period,na_rm=na_rm),NA)
		expect_error(running_cent_moments(x,max_order=5L,window=window,restart_period=restart_period,max_order_only=TRUE,na_rm=na_rm),NA)
		expect_error(running_std_moments(x,max_order=5L,window=window,restart_period=restart_period,na_rm=na_rm),NA)
		expect_error(running_cumulants(x,max_order=5L,window=window,restart_period=restart_period,na_rm=na_rm),NA)
		expect_error(running_apx_quantiles(x,p=ptiles,max_order=5L,window=window,restart_period=restart_period,na_rm=na_rm),NA)
		expect_error(running_apx_median(x,max_order=5L,window=window,restart_period=restart_period,na_rm=na_rm),NA)

	}
})#UNFOLD
context("running_foo: NA restart")
test_that("NA restart period?",{#FOLDUP
	skip_on_cran()

	ptiles <- c(0.1,0.25,0.5,0.75,0.9)

	set.char.seed("3d318f1d-9921-4a20-84fc-c5ffc722d52c")
	xvals <- list(rnorm(1e2,mean=1e10))
	x <- rnorm(1e3)
	x[x < 1.0] <- NA
	xvals[[length(xvals)+1]] <- x
	x <- rnorm(1e3)
	x[x < 1.5] <- NA
	xvals[[length(xvals)+1]] <- x

	for (x in xvals) {
		window <- 50L
		restart_period <- NA_integer_
		na_rm <- TRUE
		expect_error(running_sum(x,window=window,restart_period=restart_period,na_rm=na_rm),NA)
		expect_error(running_mean(x,window=window,restart_period=restart_period,na_rm=na_rm),NA)

		expect_error(running_sd3(x,window=window,restart_period=restart_period,na_rm=na_rm),NA)
		expect_error(running_skew4(x,window=window,restart_period=restart_period,na_rm=na_rm),NA)
		expect_error(running_kurt5(x,window=window,restart_period=restart_period,na_rm=na_rm),NA)
		expect_error(running_cent_moments(x,max_order=5L,window=window,restart_period=restart_period,na_rm=na_rm),NA)
		for (mol in c(1L,2L,5L)) {
			expect_error(running_cent_moments(x,max_order=mol,window=window,restart_period=restart_period,max_order_only=TRUE,na_rm=na_rm),NA)
		}
		expect_error(running_std_moments(x,max_order=5L,window=window,restart_period=restart_period,na_rm=na_rm),NA)
		expect_error(running_cumulants(x,max_order=5L,window=window,restart_period=restart_period,na_rm=na_rm),NA)
		expect_error(running_apx_quantiles(x,p=ptiles,max_order=5L,window=window,restart_period=restart_period,na_rm=na_rm),NA)
		expect_error(running_apx_median(x,max_order=5L,window=window,restart_period=restart_period,na_rm=na_rm),NA)

	}
})#UNFOLD
context("running foo NANANANANA")
test_that("nananana",{#FOLDUP
	skip_on_cran()

	x <- rep(NA,20)
	y <- as.integer(x)
	z <- as.logical(y)
	q <- c('a','b','c')
	restart_period <- NA_integer_

	for (thingy in list(x,y,z)) { 
		for (wts in list(NULL,rep(NA_real_,length(thingy)))) {
			for (window in c(15)) {
				for (na_rm in c(FALSE,TRUE)) {
					expect_error(running_sum(thingy,window=window,wts=wts,restart_period=restart_period,na_rm=na_rm),NA)
					expect_error(running_mean(thingy,window=window,min_df=10L,wts=wts,restart_period=restart_period,na_rm=na_rm),NA)

					for (nw in c(FALSE,TRUE)) { 
						expect_error(running_sd(thingy,window=window,min_df=10L,wts=wts,restart_period=restart_period,na_rm=na_rm,normalize_wts=nw),NA)
						expect_error(running_skew(thingy,window=window,min_df=10L,wts=wts,restart_period=restart_period,na_rm=na_rm,normalize_wts=nw),NA)
						expect_error(running_kurt(thingy,window=window,min_df=10L,wts=wts,restart_period=restart_period,na_rm=na_rm,normalize_wts=nw),NA)

						expect_error(running_sd3(thingy,window=window,min_df=10L,wts=wts,restart_period=restart_period,na_rm=na_rm,normalize_wts=nw),NA)
						expect_error(running_skew4(thingy,window=window,min_df=10L,wts=wts,restart_period=restart_period,na_rm=na_rm,normalize_wts=nw),NA)
						expect_error(running_kurt5(thingy,window=window,min_df=10L,wts=wts,restart_period=restart_period,na_rm=na_rm,normalize_wts=nw),NA)
						expect_error(running_cent_moments(thingy,max_order=5L,window=window,min_df=10L,wts=wts,restart_period=restart_period,na_rm=na_rm,normalize_wts=nw),NA)

						expect_error(running_centered(thingy,window=window,min_df=10L,wts=wts,restart_period=restart_period,na_rm=na_rm,normalize_wts=nw),NA)

						expect_error(running_scaled(thingy,window=window,min_df=10L,wts=wts,restart_period=restart_period,na_rm=na_rm,normalize_wts=nw),NA)
						expect_error(running_zscored(thingy,window=window,min_df=10L,wts=wts,restart_period=restart_period,na_rm=na_rm,normalize_wts=nw),NA)
						expect_error(running_sharpe(thingy,window=window,min_df=10L,wts=wts,restart_period=restart_period,na_rm=na_rm,normalize_wts=nw),NA)
						expect_error(running_sharpe(thingy,window=window,min_df=10L,wts=wts,restart_period=restart_period,compute_se=TRUE,na_rm=na_rm,normalize_wts=nw),NA)
						expect_error(running_tstat(thingy,window=window,min_df=10L,wts=wts,restart_period=restart_period,na_rm=na_rm,normalize_wts=nw),NA)
					}

				}
			}
		}
	}
})#UNFOLD
context("running adjustments run")
test_that("running adjustments",{#FOLDUP
	skip_on_cran()

	set.char.seed("e36291f6-70e0-4412-9c50-bc46b6ab8639")
	x <- rnorm(100)
	y <- as.integer(x)
	z <- as.logical(y)
	q <- c('a','b','c')

	for (thingy in list(x,y,z)) { 
		for (window in c(50,Inf)) {
			for (na_rm in c(FALSE,TRUE)) {
				expect_error(running_centered(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
				expect_error(running_scaled(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
				expect_error(running_zscored(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
				expect_error(running_sharpe(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
				expect_error(running_sharpe(thingy,window=window,restart_period=50L,na_rm=na_rm,compute_se=TRUE),NA)
				expect_error(running_tstat(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
			}
		}
	}

	window <- 10L
	for (thingy in list(x,y,z)) { 
		for (na_rm in c(FALSE,TRUE)) {
			expect_error(running_centered(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
			expect_error(running_scaled(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
			expect_error(running_zscored(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
			expect_error(running_sharpe(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
			expect_error(running_sharpe(thingy,window=window,restart_period=50L,na_rm=na_rm,compute_se=TRUE),NA)
			expect_error(running_tstat(thingy,window=window,restart_period=50L,na_rm=na_rm),NA)
		}
	}

	window <- 10L
	for (thingy in list(x,y,z)) { 
		for (na_rm in c(FALSE,TRUE)) {
			for (lookahead in c(0,-5,10)) {
				expect_error(running_centered(thingy,window=window,restart_period=50L,lookahead=lookahead,na_rm=na_rm),NA)
				expect_error(running_scaled(thingy,window=window,restart_period=50L,lookahead=lookahead,na_rm=na_rm),NA)
				expect_error(running_zscored(thingy,window=window,restart_period=50L,lookahead=lookahead,na_rm=na_rm),NA)
			}
		}
	}

	for (thingy in list(x,y,z)) { 
		for (min_df in c(2L,10L)) {
			expect_error(running_centered(thingy,window=window,min_df=min_df),NA)
			expect_error(running_scaled(thingy,window=window,min_df=min_df),NA)
			expect_error(running_zscored(thingy,window=window,min_df=min_df),NA)
			expect_error(running_sharpe(thingy,window=window,min_df=min_df),NA)
			expect_error(running_sharpe(thingy,window=window,min_df=min_df,compute_se=TRUE),NA)
			expect_error(running_tstat(thingy,window=window,min_df=min_df),NA)
		}
	}

	expect_error(running_centered(q))
	expect_error(running_scaled(q))
	expect_error(running_zscored(q))
	expect_error(running_sharpe(q))
	expect_error(running_sharpe(q,compute_se=TRUE))
	expect_error(running_tstat(q))

	#expect_error(running_tstat(x,window='FOO'))
	#expect_error(running_tstat(x,window=-20L))
	#expect_error(running_tstat(x,window=20L,restart_period='FOO'))
})#UNFOLD

#for vim modeline: (do not edit)
# vim:ts=2:sw=2:tw=79:fdm=marker:fmr=FOLDUP,UNFOLD:cms=#%s:syn=r:ft=r:ai:si:cin:nu:fo=croql:cino=p0t0c5(0:

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fromo documentation built on May 2, 2019, 5:07 a.m.

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