From 4dd1c58276394b4bfd6c43abf46c0a507ee36c15 Mon Sep 17 00:00:00 2001 From: andrewdolman Date: Wed, 28 Feb 2024 16:00:16 +0100 Subject: [PATCH 1/5] reduce example ts length to 1000 --- README.Rmd | 2 +- README.md | 2 +- man/figures/README-unnamed-chunk-10-1.png | Bin 46558 -> 306735 bytes man/figures/README-unnamed-chunk-3-1.png | Bin 58148 -> 300315 bytes man/figures/README-unnamed-chunk-4-1.png | Bin 31849 -> 171753 bytes man/figures/README-unnamed-chunk-5-1.png | Bin 36111 -> 195050 bytes man/figures/README-unnamed-chunk-6-1.png | Bin 43580 -> 266866 bytes man/figures/README-unnamed-chunk-7-1.png | Bin 55592 -> 306891 bytes man/figures/README-unnamed-chunk-8-1.png | Bin 34937 -> 204451 bytes man/figures/README-unnamed-chunk-9-1.png | Bin 42084 -> 278904 bytes 10 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.Rmd b/README.Rmd index 9b30e35..b26b8a2 100644 --- a/README.Rmd +++ b/README.Rmd @@ -84,7 +84,7 @@ where: $S(f) = \alpha f^{-\beta}$ set.seed(20221109) # 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zSC<<(%4xoESo6}f^uA8i4-)C-?5Kg~_x=h|FZbE}+@kZxTU}pFpYjy&yKvvE#>9TT zck4uvnO*cUi5O?buJ^i8CAEnKvw4q2Z*7*C@l75FChr?@TZvfK8wJ+{d_34aR{A`# zwkKvL!}Gkl`)ykoVs0wE*Gwtrz4#}$a z%Nb>+4~8n4F$UVtrPer=6nwLN7=PtbxK-?E1NR3`y@$56<=uT*cQte($#sy@DDQLY zF&p|`ruufprgZm{omB^%OQu)fYe`BmoGUMFCL|lTbDuA0Fgho#OgQu|ZFOxQbnta@ zdldMSUi74tGFB!lr!X8ns`HA3;mw*QS!2An6Yu!xx19o7X>Q3cTOD1$X;JU7n53Oc zH{uMH`}n0B;$2H;*|jed8QnK{O-7nEt3EX@@AsOV($2y?9RCrPc-Swg&Mj$fGO{$7 zH?>fFPwkl+G=E$Ru9g_95#R1&pd|h4M-4dP}b4~m9)3AkMs-lV!)k!FXQ z9#)5Q_SEnH#_^H#)46?g1N#0&`qtj+TH8SB&(GOUWlpzb=YHw9Dc%0;6-TXgFnjm@ z+&*8~aPIwiL+rX0|V141S zlpOO!JB=Ch;-ZQPlkt_iu(0+=w6xa7TIG7@DlhI+oW^G1N8ow)g0+X7-kjFBT(CTE zE-P)A`$cZw{AZM);bVWS+1A{d(t?XGUk!t871qyg>UJ!9{&-zf*ZI|BmqwSAh>~XE zS5+Nj%oXvc);|15yYp(C({s+crf#kYb>%dcR}M>Dn^V^v`^dCmk8|>JBZf@g#lwQ> z-Et+@-OjB@`>KS?eK4#rvF}&E zoL4ufo$__f3)942DQUNkvT?9KzP%n+;#NE}%e7&-TilX{COR5b^y*4`J@*-Vo@$!C zrX(u=b9Oc%ceTje?FRzynuorMb+=w_-%|yyORBcOvCVD;T8WkU_Bx4I9voTy2$Ya% z2KIM!47ZxjP1f~q-QvB^xV^01Z*GQBo#cEmvCntB&d;^Kv{k~pd`#ac=eqa@H{l1g zo@6^tKN)vtX+`_nVBwVJ(r>aOv&<>A7rP~iq&GNzKOvZ>KioB08J(N=g|Smzs#gJC zE_3TOJJ%Y1t;%tBdH3XrWu>Ib{R8uK;JcrDa@?w~s4kB$Xfhnla+CYR#Fewj^<90+ z)k_>!A)^hw_*>#p{XbV{N}VrMCP-GLiC$$2S4!z@hMslb&JWK{DwsV^ELh#* z+3H&DY8Sr^ESE)X_bIE8!Wre;)}jVg;adJAab$`~YMhlUV}^0(jp&;S_wuYKTL(JF zvw}E^WQRVlzg%Kg=#`ZPuSWxF_{qDCqnzgqOGt8@Cua=Fu;?j`nlcikdui>r7kdpY; z*>wt62kBgHVMS_Vk#f}^*=u186@t$`cGTyFKMR*QTz-F(gumpoego=r4E`bwe>p;6 z=5YSJg!XN*b1-%&4R>Z247L*aZ+Q9NCocF;1n7UE(EOi?dS<+xIPbj`(M2xf;Ge3J L#*q|7bKm~~A!PHd From 7ba86f717f611a7e4bda7c546dfeed151f225d50 Mon Sep 17 00:00:00 2001 From: Andrew Dolman Date: Fri, 19 Jul 2024 16:48:12 +0200 Subject: [PATCH 2/5] make removeFirst and removeLast in gg_spec operate on a per spec_id basis --- R/gg_spec.R | 36 ++++++++++++++++++++++++-------- tests/testthat/test-FilterSpec.R | 2 +- tests/testthat/test-gg_spec.R | 15 +++++++++++++ 3 files changed, 43 insertions(+), 10 deletions(-) diff --git a/R/gg_spec.R b/R/gg_spec.R index 357805d..e674410 100644 --- a/R/gg_spec.R +++ b/R/gg_spec.R @@ -86,24 +86,42 @@ gg_spec <- function(x, gg = NULL, conf = TRUE, } - if (removeFirst > 0) { - df <- df[rank(df$freq) > removeFirst, ] - } - - if (removeLast > 0) { - df <- df[rank(-df$freq) > removeLast,] - } + ## Remove first and or last freqs on a per spec_id basis if (exists("spec_id", df) == FALSE){ df$spec_id <- 1 - } - + } if (is.numeric(df$spec_id)){ df$spec_id <- as.character(df$spec_id) } + if (removeFirst > 0) { + #df <- df[rank(df$freq) > removeFirst, ] + + # Convert 'df' to a data.table + data.table::setDT(df) + + # Group by 'spec_id' and filter rows where 'rank(freq)' is greater than 'removeFirst' + df <- df[, .SD[rank(freq) > removeFirst], by = spec_id] + + # return to data.frame + df <- as.data.frame(df) + } + + if (removeLast > 0) { + #df <- df[rank(-df$freq) > removeLast,] + # Convert 'df' to a data.table + data.table::setDT(df) + + # Group by 'spec_id' and filter rows where 'rank(-freq)' is greater than 'removeLast' + df <- df[, .SD[rank(-freq) > removeLast], by = spec_id] + + # return to data.frame + df <- as.data.frame(df) + } + if (is.null(gg)) { p <- ggplot2::ggplot(data = df) diff --git a/tests/testthat/test-FilterSpec.R b/tests/testthat/test-FilterSpec.R index 3bef6a2..8d910dd 100644 --- a/tests/testthat/test-FilterSpec.R +++ b/tests/testthat/test-FilterSpec.R @@ -148,7 +148,7 @@ test_that("FilterSpecLog handles df.log parameter correctly", { test_that("FilterSpecLog handles edge cases appropriately", { empty_spec <- list(freq = numeric(0), spec = numeric(0), dof = numeric(0), shape = numeric(0)) - expect_error(FilterSpecLog(empty_spec)) + expect_warning(expect_error(FilterSpecLog(empty_spec))) expect_error(FilterSpecLog("not a spec")) }) diff --git a/tests/testthat/test-gg_spec.R b/tests/testthat/test-gg_spec.R index 3c35d3a..efe38d8 100644 --- a/tests/testthat/test-gg_spec.R +++ b/tests/testthat/test-gg_spec.R @@ -49,3 +49,18 @@ test_that("plots have correct no colours", { expect_equal(nrow(unique(gg1_df2_b$data[[1]]["colour"])), 2) }) + + +test_that("removeFirst and removeLast operate on a per spec_id basis", { + sp1 <- SpecMTM(ts(rnorm(100))) + sp2 <- SpecMTM(ts(rnorm(1000))) + + gf1 <- gg_spec(list(sp1, sp2), removeFirst = 1) + + g0 <- gg_spec(list(sp1, sp2), removeFirst = 0) + + gl3 <- gg_spec(list(sp1, sp2), removeLast = 3) + + expect_that(nrow(g0$data) - nrow(gl3$data), equals(6)) + +}) From 133da00f5918ee35d8a3957e77b6f6ec8cae77a8 Mon Sep 17 00:00:00 2001 From: andrewdolman Date: Wed, 28 Aug 2024 17:45:01 +0200 Subject: [PATCH 3/5] fix rfreq calculation in SpecACF --- R/SpecACF.R | 9 ++------- man/LogSmooth.Rd | 4 ++-- 2 files changed, 4 insertions(+), 9 deletions(-) diff --git a/R/SpecACF.R b/R/SpecACF.R index d9dcf7f..92c41e3 100644 --- a/R/SpecACF.R +++ b/R/SpecACF.R @@ -41,8 +41,7 @@ SpecACF <- function(x, bin.width, pos.f.only = TRUE, return.working = FALSE){ - # Convert ts to vector - + # Convert ts to vector if (is.ts(x)){ d <- dim(x) x <- as.vector(x) @@ -50,17 +49,13 @@ SpecACF <- function(x, bin.width, if (is.null(d) == FALSE){ dim(x) <- d } - } - # Convert vector to matrix if (is.vector(x)){ x <- matrix(x, ncol = 1) } - - if (is.data.frame(x) == TRUE){ x <- as.matrix(x) } @@ -93,7 +88,7 @@ SpecACF <- function(x, bin.width, freq = (lag / (nrow(x))) / bin.width spec = Re(stats::fft(acf)) * bin.width - rfreq <- (utils::tail(freq, 1) + freq[2])/2 + rfreq = max(freq) if (pos.f.only){ spec <- spec[freq > 0 & freq <= 1/(2*bin.width)] diff --git a/man/LogSmooth.Rd b/man/LogSmooth.Rd index 3ef596b..c51539b 100644 --- a/man/LogSmooth.Rd +++ b/man/LogSmooth.Rd @@ -51,8 +51,8 @@ LLines(LogSmooth(spec,df.log=0.1, removeFirst = 3, removeLast = 20),lwd=2,col='r } \seealso{ Other functions to filter / smooth spectra: -\code{\link{FilterSpecLog}()}, -\code{\link{FilterSpec}()} +\code{\link{FilterSpec}()}, +\code{\link{FilterSpecLog}()} } \author{ Thomas Laepple From b284b2571c324676837e80f721dfb9f3580821b5 Mon Sep 17 00:00:00 2001 From: Andrew Dolman Date: Thu, 3 Oct 2024 18:46:44 +0200 Subject: [PATCH 4/5] add tapering to SpecACF --- DESCRIPTION | 4 +- NEWS.md | 7 ++ R/SpecACF.R | 224 +++++++++++++++++++++++++++------- man/SpecACF.Rd | 111 +++++++++++++++-- tests/testthat/test-SpecACF.R | 11 ++ 5 files changed, 301 insertions(+), 56 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 1e92777..b102dfd 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: PaleoSpec Title: Spectral tools for the ECUS group -Version: 0.31 +Version: 0.32 Authors@R: c( person("Thomas", "Laepple", email = "tlaepple@awi.de", role = c("aut", "cre")), person("Thomas", "Muench", email = "tmuench@awi.de", role = c("aut")), @@ -14,7 +14,7 @@ Depends: License: MIT + file LICENSE Encoding: UTF-8 LazyData: true -RoxygenNote: 7.2.3 +RoxygenNote: 7.3.1 Imports: multitaper, zoo, diff --git a/NEWS.md b/NEWS.md index 45945d6..f4c4208 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,10 @@ +# PaleoSpec 0.32 + +* SpecACF can now use slepian tapers +* Small fix to rfreq calculation in SpecACF +* RemoveFirst and RemoveLast in gg_spec work on a per spectrum basis for list + and spec_df objects + # PaleoSpec 0.31 * Improve linking between function documentation using @family diff --git a/R/SpecACF.R b/R/SpecACF.R index 92c41e3..355edd5 100644 --- a/R/SpecACF.R +++ b/R/SpecACF.R @@ -1,7 +1,9 @@ -#' Estimate Power Spectra via the Autocovariance Function +#' Estimate Power Spectra via the Autocovariance Function With Optional Slepian +#' Tapers #' #' @param x a vector or matrix of binned values, possibly with gaps -#' @param bin.width the width of the bins, effectively delta_t +#' @param deltat,bin.width the time-step of the timeseries, equivalently the +#' width of the bins in a binned timeseries, set only one #' @param pos.f.only return only positive frequencies, defaults to TRUE If TRUE, #' freq == 0, and frequencies higher than 1/(2*bin.width) which correspond to #' the negative frequencies are removed @@ -20,6 +22,8 @@ #' indicates that the estimates are unbiased such that smoothing across #' frequencies to remove negative estimates results in an unbiased power #' spectrum. +#' @inheritParams SpecMTM +#' @importFrom multitaper spec.mtm #' @author Torben Kunz and Andrew Dolman #' @return a spec object (list) #' @family functions to estimate power spectra @@ -27,87 +31,221 @@ #' #' @examples #' set.seed(20230312) -#' x <- cumsum(rgamma(200, shape = 1.5, rate = 1.5/10)) -#' y <- SimProxySeries(a = 0.1, b = 1, t.smpl = x, nt = 2000, -#' smth.lab = list(type = "rect", tau = 1)) -#' y_binned <- BinTimeseries(x, y, bin.width = 15) -#' sp1 <- SpecACF(y_binned$mean.value, bin.width = 15) -#' sp2 <- LogSmooth(sp1) -#' LPlot(sp1) -#' LLines(sp2, col = "red") -SpecACF <- function(x, bin.width, - demean = TRUE, detrend = TRUE, - TrimNA = TRUE, - pos.f.only = TRUE, - return.working = FALSE){ +#' +#' # Comparison with SpecMTM +#' +#' tsM <- replicate(2, SimPLS(1e03, 1, 0.1)) +#' spMk3 <- SpecACF(tsM, bin.width = 1, k = 3, nw = 2) +#' spMk1 <- SpecACF(tsM, bin.width = 1, k = 1, nw = 0) +#' +#' spMTMa <- SpecMTM(tsM[,1], deltat = 1) +#' spMTMb <- SpecMTM(tsM[,2], deltat = 1) +#' spMTM <- spMTMa +#' spMTM$spec <- (spMTMa$spec + spMTMb$spec)/2 +#' +#' gg_spec(list( +#' `ACF k=1` = spMk1, +#' `ACF k=3` = spMk3, +#' `MTM k=3` = spMTM +#' ), alpha.line = 0.75) + +#' ggplot2::facet_wrap(~spec_id) +#' +#' ## No gaps +#' +#' ts1 <- SimPLS(1000, 1, 0.1) +#' +#' sp_ACF1 <- SpecACF(ts1, 1, k = 1) +#' sp_MTM7 <- SpecMTM(ts1, nw = 4, k = 7, deltat = 1) +#' sp_ACF7 <- SpecACF(ts1, 1, k = 7, nw = 4) +#' +#' gg_spec(list( +#' `ACF k=1` = sp_ACF1, `ACF k=7` = sp_ACF7, `MTM k=7` = sp_MTM7 +#' )) +#' +#' # With Gaps +#' +#' gaps <- (arima.sim(list(ar = 0.5), n = length(ts1))) > 1 +#' table(gaps) +#' ts1_g <- ts1 +#' ts1_g[gaps] <- NA +#' +#' sp_ACF1_g <- SpecACF(ts1_g, 1) +#' sp_ACFMTM1_g <- SpecACF(ts1_g, bin.width = 1, nw = 4, k = 7) +#' +#' gg_spec(list( +#' ACF_g = sp_ACF1_g, +#' ACF_g_smoothed = FilterSpecLog(sp_ACF1_g), +#' ACF_g_tapered = sp_ACFMTM1_g +#' ), conf = FALSE) + +#' ggplot2::geom_abline(intercept = log10(0.1), slope = -1, lty = 2) +#' +#' +#' +#' ## AR4 +#' arc_spring <- c(2.7607, -3.8106, 2.6535, -0.9238) +#' +#' tsAR4 <- arima.sim(list(ar = arc_spring), n = 1e03) + rnorm(1e03, 0, 10) +#' plot(tsAR4) +#' spAR4_ACF <- SpecACF(tsAR4, 1) +#' spAR4_MTACF <- SpecACF(as.numeric(tsAR4), 1, k = 15, nw = 8) +#' +#' gg_spec(list(#' +#' `ACF k=1` = spAR4_ACF, +#' `ACF k=15` = spAR4_MTACF) +#' ) +#' +#' ## Add gaps to timeseries +#' +#' gaps <- (arima.sim(list(ar = 0.5), n = length(tsAR4))) > 2 +#' table(gaps) +#' tsAR4_g <- tsAR4 +#' tsAR4_g[gaps] <- NA +#' +#' plot(tsAR4, col = "green") +#' lines(tsAR4_g, col = "blue") +#' +#' table(tsAR4_g > 0, useNA = "always") +#' +#' spAR4_ACF_g <- SpecACF(as.numeric(tsAR4_g), 1) +#' spAR4_MTACF_g <- SpecACF(as.numeric(tsAR4_g), 1, nw = 8, k = 15) +#' +#' table(spAR4_ACF_g$spec < 0) +#' table(spAR4_MTACF_g$spec < 0) +#' +#' gg_spec(list( +#' `ACF gaps k=1` = spAR4_ACF_g, +#' `ACF gaps k = 15` = spAR4_MTACF_g, +#' `ACF full k = 15` = spAR4_MTACF +#' ) +#' ) +SpecACF <- function(x, + deltat = NULL, bin.width = NULL, + k = 1, nw = 0, + demean = TRUE, detrend = TRUE, + TrimNA = TRUE, + pos.f.only = TRUE, + return.working = FALSE) { + if (is.null(deltat) & is.null(bin.width) & is.ts(x) == FALSE) { + stop("One of deltat or bin.width must be set") + } # Convert ts to vector - if (is.ts(x)){ + if (is.ts(x)) { d <- dim(x) + dt_ts <- deltat(x) + x <- as.vector(x) - if (is.null(d) == FALSE){ + if (is.null(deltat) == FALSE) { + if (dt_ts != deltat) stop("timeseries deltat does not match argument deltat") + } + + if (is.null(bin.width) == FALSE) { + if (dt_ts != bin.width) stop("timeseries deltat does not match argument bin.width") + } + + if (is.null(deltat)) deltat <- dt_ts + if (is.null(bin.width)) bin.width <- dt_ts + + if (is.null(d) == FALSE) { dim(x) <- d } } + if (is.null(bin.width) & is.null(deltat) == FALSE) { + bin.width <- deltat + } + + if (is.null(bin.width) == FALSE & is.null(deltat)) { + deltat <- bin.width + } + # Convert vector to matrix - if (is.vector(x)){ + if (is.vector(x)) { x <- matrix(x, ncol = 1) } - if (is.data.frame(x) == TRUE){ + if (is.data.frame(x) == TRUE) { x <- as.matrix(x) } - if (TrimNA){ + if (TrimNA) { x <- TrimNA(x) } - if (detrend){ - i <- seq_along(x[,1]) + if (detrend) { + i <- seq_along(x[, 1]) x <- apply(x, 2, function(y) { stats::residuals(stats::lm(y ~ i, na.action = "na.exclude")) }) } # remove mean from each record - if (demean){ + if (demean) { x <- x - colMeans(x, na.rm = TRUE) } - lag = (0:(nrow(x)-1)) + lag <- (0:(nrow(x) - 1)) - if (return.working == TRUE){ - working <- mean.ACF(x, return.working = TRUE) + ncolx <- ncol(x) + + ## Tapering + if (k > 1) { + n <- nrow(x) + + dpssIN <- multitaper:::dpss(n, + k = k, nw = nw, + returnEigenvalues = TRUE + ) + dw <- dpssIN$v #* sqrt(bin.width) + ev <- dpssIN$eigen + + x <- matrix(unlist(lapply(1:ncol(x), function(i) { + lapply(1:ncol(dw), function(j) { + x[, i] * dw[, j] + }) + })), nrow = nrow(x), byrow = FALSE) + } + + if (return.working == TRUE) { + working <- PaleoSpec:::mean.ACF(x, return.working = TRUE) acf <- working[["acf"]] - } else{ - acf <- mean.ACF(x) + } else { + acf <- PaleoSpec:::mean.ACF(x) + } + + freq <- (lag / (nrow(x))) / bin.width + + if (k > 1){ + spec <- Re(stats::fft(acf)) * bin.width * nrow(x) + } else { + spec <- Re(stats::fft(acf)) * bin.width } - freq = (lag / (nrow(x))) / bin.width - spec = Re(stats::fft(acf)) * bin.width - rfreq = max(freq) - if (pos.f.only){ - spec <- spec[freq > 0 & freq <= 1/(2*bin.width)] - freq <- freq[freq > 0 & freq <= 1/(2*bin.width)] + + rfreq <- max(freq) + + if (pos.f.only) { + spec <- spec[freq > 0 & freq <= 1 / (2 * bin.width)] + freq <- freq[freq > 0 & freq <= 1 / (2 * bin.width)] } - out <- list(bin.width = bin.width, - rfreq = rfreq, - nrec = ncol(x), - lag = lag, acf = acf, - freq = freq, spec = spec, f.length = 1, - dof = rep(2*ncol(x), length(freq))) + out <- list( + bin.width = bin.width, + rfreq = rfreq, + nrec = ncolx, + lag = lag, acf = acf, + freq = freq, spec = spec, f.length = 1, + dof = rep(2 * ncolx * k, length(freq)) + ) - class(out) <- c("SpecACF", "spec") + class(out) <- c("SpecACF", "spec") - if (return.working){ + if (return.working) { out <- list(working = working, spec = out) } - return(out) } diff --git a/man/SpecACF.Rd b/man/SpecACF.Rd index 845ea60..31749d4 100644 --- a/man/SpecACF.Rd +++ b/man/SpecACF.Rd @@ -2,11 +2,15 @@ % Please edit documentation in R/SpecACF.R \name{SpecACF} \alias{SpecACF} -\title{Estimate Power Spectra via the Autocovariance Function} +\title{Estimate Power Spectra via the Autocovariance Function With Optional Slepian +Tapers} \usage{ SpecACF( x, - bin.width, + deltat = NULL, + bin.width = NULL, + k = 1, + nw = 0, demean = TRUE, detrend = TRUE, TrimNA = TRUE, @@ -17,7 +21,13 @@ SpecACF( \arguments{ \item{x}{a vector or matrix of binned values, possibly with gaps} -\item{bin.width}{the width of the bins, effectively delta_t} +\item{deltat, bin.width}{the time-step of the timeseries, equivalently the +width of the bins in a binned timeseries, set only one} + +\item{k}{a positive integer, the number of tapers, often 2*nw.} + +\item{nw}{a positive double precision number, the time-bandwidth +parameter.} \item{demean}{remove the mean from each record (column) in x, defaults to TRUE. If detrend is TRUE, mean will be removed during detrending regardless @@ -47,14 +57,93 @@ Estimates the power spectrum from a single time series, or the } \examples{ set.seed(20230312) -x <- cumsum(rgamma(200, shape = 1.5, rate = 1.5/10)) -y <- SimProxySeries(a = 0.1, b = 1, t.smpl = x, nt = 2000, - smth.lab = list(type = "rect", tau = 1)) -y_binned <- BinTimeseries(x, y, bin.width = 15) -sp1 <- SpecACF(y_binned$mean.value, bin.width = 15) -sp2 <- LogSmooth(sp1) -LPlot(sp1) -LLines(sp2, col = "red") + +# Comparison with SpecMTM + +tsM <- replicate(2, SimPLS(1e03, 1, 0.1)) +spMk3 <- SpecACF(tsM, bin.width = 1, k = 3, nw = 2) +spMk1 <- SpecACF(tsM, bin.width = 1, k = 1, nw = 0) + +spMTMa <- SpecMTM(tsM[,1], deltat = 1) +spMTMb <- SpecMTM(tsM[,2], deltat = 1) +spMTM <- spMTMa +spMTM$spec <- (spMTMa$spec + spMTMb$spec)/2 + +gg_spec(list( + `ACF k=1` = spMk1, + `ACF k=3` = spMk3, + `MTM k=3` = spMTM +), alpha.line = 0.75) + + ggplot2::facet_wrap(~spec_id) + +## No gaps + +ts1 <- SimPLS(1000, 1, 0.1) + +sp_ACF1 <- SpecACF(ts1, 1, k = 1) +sp_MTM7 <- SpecMTM(ts1, nw = 4, k = 7, deltat = 1) +sp_ACF7 <- SpecACF(ts1, 1, k = 7, nw = 4) + +gg_spec(list( + `ACF k=1` = sp_ACF1, `ACF k=7` = sp_ACF7, `MTM k=7` = sp_MTM7 +)) + +# With Gaps + +gaps <- (arima.sim(list(ar = 0.5), n = length(ts1))) > 1 +table(gaps) +ts1_g <- ts1 +ts1_g[gaps] <- NA + +sp_ACF1_g <- SpecACF(ts1_g, 1) +sp_ACFMTM1_g <- SpecACF(ts1_g, bin.width = 1, nw = 4, k = 7) + +gg_spec(list( + ACF_g = sp_ACF1_g, + ACF_g_smoothed = FilterSpecLog(sp_ACF1_g), + ACF_g_tapered = sp_ACFMTM1_g +), conf = FALSE) + + ggplot2::geom_abline(intercept = log10(0.1), slope = -1, lty = 2) + + + +## AR4 +arc_spring <- c(2.7607, -3.8106, 2.6535, -0.9238) + +tsAR4 <- arima.sim(list(ar = arc_spring), n = 1e03) + rnorm(1e03, 0, 10) +plot(tsAR4) +spAR4_ACF <- SpecACF(tsAR4, 1) +spAR4_MTACF <- SpecACF(as.numeric(tsAR4), 1, k = 15, nw = 8) + +gg_spec(list(#' + `ACF k=1` = spAR4_ACF, + `ACF k=15` = spAR4_MTACF) +) + +## Add gaps to timeseries + +gaps <- (arima.sim(list(ar = 0.5), n = length(tsAR4))) > 2 +table(gaps) +tsAR4_g <- tsAR4 +tsAR4_g[gaps] <- NA + +plot(tsAR4, col = "green") +lines(tsAR4_g, col = "blue") + +table(tsAR4_g > 0, useNA = "always") + +spAR4_ACF_g <- SpecACF(as.numeric(tsAR4_g), 1) +spAR4_MTACF_g <- SpecACF(as.numeric(tsAR4_g), 1, nw = 8, k = 15) + +table(spAR4_ACF_g$spec < 0) +table(spAR4_MTACF_g$spec < 0) + +gg_spec(list( + `ACF gaps k=1` = spAR4_ACF_g, + `ACF gaps k = 15` = spAR4_MTACF_g, + `ACF full k = 15` = spAR4_MTACF +) +) } \seealso{ Other functions to estimate power spectra: diff --git a/tests/testthat/test-SpecACF.R b/tests/testthat/test-SpecACF.R index 86dc681..85efa78 100644 --- a/tests/testthat/test-SpecACF.R +++ b/tests/testthat/test-SpecACF.R @@ -13,6 +13,17 @@ test_that("SpecACF", { expect_length(sp1$spec, n/2) expect_length(sp1$dof, n/2) + # test deltat argument + ts2 <- ts(rnorm(n), deltat = 3) + sp1_bw <- SpecACF(ts2, bin.width = 3) + sp1_dt <- SpecACF(ts2, deltat = 3) + expect_s3_class(sp1_dt, "spec") + expect_equal(sp1_bw$freq, sp1_dt$freq) + + # test using tapers + sp1_tap <- SpecACF(ts1, deltat = 1, k = 3, nw = 2) + expect_s3_class(sp1_tap, "spec") + expect_equal(sp1_tap$dof, rep(3*2, length(sp1_tap$freq))) # test for neg freq sp2 <- SpecACF(ts1, bin.width = 1, pos.f.only = FALSE) From c569af43692988377736085f62b516e44212d697 Mon Sep 17 00:00:00 2001 From: Andrew Dolman Date: Thu, 3 Oct 2024 18:54:18 +0200 Subject: [PATCH 5/5] make k = 3 default for SpecACF --- R/SpecACF.R | 2 +- man/SpecACF.Rd | 4 ++-- tests/testthat/test-SpecACF.R | 6 +++--- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/R/SpecACF.R b/R/SpecACF.R index 355edd5..dace8c0 100644 --- a/R/SpecACF.R +++ b/R/SpecACF.R @@ -120,7 +120,7 @@ #' ) SpecACF <- function(x, deltat = NULL, bin.width = NULL, - k = 1, nw = 0, + k = 3, nw = 2, demean = TRUE, detrend = TRUE, TrimNA = TRUE, pos.f.only = TRUE, diff --git a/man/SpecACF.Rd b/man/SpecACF.Rd index 31749d4..a26a491 100644 --- a/man/SpecACF.Rd +++ b/man/SpecACF.Rd @@ -9,8 +9,8 @@ SpecACF( x, deltat = NULL, bin.width = NULL, - k = 1, - nw = 0, + k = 3, + nw = 2, demean = TRUE, detrend = TRUE, TrimNA = TRUE, diff --git a/tests/testthat/test-SpecACF.R b/tests/testthat/test-SpecACF.R index 85efa78..40bdcf7 100644 --- a/tests/testthat/test-SpecACF.R +++ b/tests/testthat/test-SpecACF.R @@ -26,7 +26,7 @@ test_that("SpecACF", { expect_equal(sp1_tap$dof, rep(3*2, length(sp1_tap$freq))) # test for neg freq - sp2 <- SpecACF(ts1, bin.width = 1, pos.f.only = FALSE) + sp2 <- SpecACF(ts1, bin.width = 1, k = 1, pos.f.only = FALSE) expect_s3_class(sp2, "spec") @@ -39,7 +39,7 @@ test_that("SpecACF", { m <- matrix(rnorm(3*100), ncol = 3) - spm <- SpecACF(m, bin.width = 1) + spm <- SpecACF(m, bin.width = 1, k = 1) #LPlot(spm) @@ -56,7 +56,7 @@ test_that("SpecACF", { # do not demean - sp1ndm <- SpecACF(rnorm(100, mean = 100), bin.width = 1, demean = FALSE, + sp1ndm <- SpecACF(rnorm(100, mean = 100), bin.width = 1, k = 1, demean = FALSE, detrend = FALSE, return.working = TRUE, pos.f.only = FALSE) expect_true(mean(sp1ndm$working$x) > 90) expect_true(sp1ndm$spec[1] > sp2$spec[1])

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