From 7320d0fd7e75791e2ae2def4c6588cb091f09346 Mon Sep 17 00:00:00 2001 From: DeCicco Date: Thu, 8 Apr 2021 12:56:40 -0500 Subject: [PATCH 1/3] Final updates before CRAN --- .Rbuildignore | 4 +++- README.md | 13 ++----------- man/EGRET-package.Rd | 2 +- vignettes/rockCr.tp.RData | Bin 437483 -> 0 bytes 4 files changed, 6 insertions(+), 13 deletions(-) delete mode 100644 vignettes/rockCr.tp.RData diff --git a/.Rbuildignore b/.Rbuildignore index 108516f3..371aa125 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -30,7 +30,9 @@ vignettes/data_prep.Rmd vignettes/Conwingo.PO4.RData vignettes/plotOne.R vignettes/runPairsMonths.R -vignettes/TrendByMonth.Rmd +vignettes/TrendsByMonth.Rmd +vignettes/Conowingo.PO4.RData +vignettes/Annual_Hydrograph_Timing.Rmd vignettes/AlternativeQMethod.Rmd vignettes/functionsForK.R _pkgdown.yml diff --git a/README.md b/README.md index 9dff229b..2dd51ef4 100644 --- a/README.md +++ b/README.md @@ -1,13 +1,4 @@ -# EGRET EGRET - -[![R build -status](https://github.com/USGS-R/EGRET/workflows/R-CMD-check/badge.svg)](https://github.com/USGS-R/EGRET/actions) -[![codecov](https://codecov.io/gh/USGS-R/EGRET/branch/master/graph/badge.svg)](https://codecov.io/gh/USGS-R/EGRET) -[![status](https://img.shields.io/badge/USGS-Research-blue.svg)](https://owi.usgs.gov/R/packages.html#research) -[![CRAN -version](http://www.r-pkg.org/badges/version/EGRET)](https://cran.r-project.org/package=EGRET) -[![](http://cranlogs.r-pkg.org/badges/EGRET)](https://cran.r-project.org/package=EGRET) -[![](http://cranlogs.r-pkg.org/badges/grand-total/EGRET)](https://cran.r-project.org/package=EGRET) +# EGRET Exploration and Graphics for RivEr Trends (`EGRET`): An R-package for the analysis of long-term changes in water quality and streamflow, @@ -16,7 +7,7 @@ Discharge, and Season (WRTDS). The link for the official USGS publication user guide is here: - +[https://pubs.usgs.gov/tm/04/a10/](https://pubs.usgs.gov/tm/04/a10/) A companion package [`EGRETci`](https://usgs-r.github.io/EGRETci/) implements a set of approaches to the analysis of uncertainty associated diff --git a/man/EGRET-package.Rd b/man/EGRET-package.Rd index 42594553..947a547d 100644 --- a/man/EGRET-package.Rd +++ b/man/EGRET-package.Rd @@ -24,7 +24,7 @@ Collection of functions to do WRTDS and flowHistory analysis, \references{ Hirsch, R.M., and De Cicco, L.A., 2014, User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data: U.S. Geological Survey Techniques and Methods book 4, -chap. A10, 94 p., \url{https://doi.org/10.3133/tm4A10} +chap. A10, 94 p., \doi{10.3133/tm4A10} } \author{ Robert M. 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zDL1FwoN{x@Ehx93+=6lo$}K6kq}-BnOUiFheuMHGl;5D-igGK;tthvm+?sN0%B?B4 zrrd^d8_I1cx1rpYa$Cx6DYvEkCgnFNze)K`%Izq(quh>iJIZfSev9&3l;5KKHs!Y| zzfJjV%Izt)r`(=$d&=)neuwfql;5G;fpQ1R9VmC8{4V8pDZfkkUCJFPcck2ra!1OY zD0iaViE<~(ohf&w+?jG`%3UaTq1=UX7s_2Jcct8wa#zaTD0idWjdC~2?@@k_@_Uru zquiZxcgo!=p5g_zY$tv#wT`8Us72aYFZa=%fZyqmo*ll6Bv zOJOi`CgTBSAtBqcj7fp`L+NjJWc;{LLi_aDGvf(M$ZeM;4Cs};QOw}E34dJfAN~1= zev`)ro^LU;CafQxd9*+K@~=3|v_L;MAHzRl?!V$Or;fR`wYjN^xq%wBhTY0q&*FbA zbD5phyJl^E;NccQ~$9Kht+lS8`dYaP4)g`kL~K_*Nnv!Z|Lb6i)mYn9oI9nwz+0}OHAEdTUX4` zOza=O1X$?N|Cn9V+bVWK^*@fw^UrJ1_`e*S^VD^7D+@Z>{O5OAe9hd<%G%IcUPtGK zp6!3^#$;{rpO>$DL)*|y!}9n)=FWfpxUly{WBVf3iGOX#y6_)|V9_(Up=bTCd%*Db N{{iYqYS}U@3;;Zcqt^fc From dc4a9b906b1a846d5dbba67bce1cf1650a2ea954 Mon Sep 17 00:00:00 2001 From: DeCicco Date: Thu, 8 Apr 2021 21:41:10 -0500 Subject: [PATCH 2/3] Removing more vigettes --- .Rbuildignore | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/.Rbuildignore b/.Rbuildignore index 371aa125..d088e014 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -19,6 +19,8 @@ code.json hexSticker.R ^docs$ EGRET.Rcheck +vignettes/*.html +vignettes/*.R vignettes/References_WRTDS.Rmd vignettes/References_Extend.Rmd vignettes/References_Region.Rmd @@ -34,6 +36,12 @@ vignettes/TrendsByMonth.Rmd vignettes/Conowingo.PO4.RData vignettes/Annual_Hydrograph_Timing.Rmd vignettes/AlternativeQMethod.Rmd +vignettes/Enhancements.Rmd +vignettes/eListOut.rds +vignettes/pairResults.rds +vignettes/pairResults2.rds +vignettes/WRTDSK.Rmd +vignettes/ChainBridge.TP.RData vignettes/functionsForK.R _pkgdown.yml pkgdown/favicon/* From 6faa06e21459b3fbab2398efc53b67014a0ee25f Mon Sep 17 00:00:00 2001 From: DeCicco Date: Fri, 9 Apr 2021 07:03:52 -0500 Subject: [PATCH 3/3] Up on CRAN --- code.json | 8 +- vignettes/functionsForK.R | 511 -------------------------------------- 2 files changed, 4 insertions(+), 515 deletions(-) delete mode 100644 vignettes/functionsForK.R diff --git a/code.json b/code.json index e49b1b60..b5fab206 100644 --- a/code.json +++ b/code.json @@ -3,7 +3,7 @@ "name": "EGRET", "organization": "U.S. Geological Survey", "description": "An R-package for the analysis of long-term changes in water quality and streamflow, including the water-quality method Weighted Regressions on Time, Discharge, and Season (WRTDS)", - "version": "2.6.0", + "version": "3.0.5", "status": "Production", "permissions": { "usageType": "openSource", @@ -16,11 +16,11 @@ ] }, "homepageURL": "https://code.usgs.gov/water/EGRET", - "downloadURL": "https://code.usgs.gov/water/EGRET/-/archive/v2.6.0/EGRET-v2.6.0.zip", + "downloadURL": "https://code.usgs.gov/water/EGRET/-/archive/v3.0.5/EGRET-v3.0.5.zip", "disclaimerURL": "https://code.usgs.gov/water/EGRET/blob/master/DISCLAIMER.md", "repositoryURL": "https://code.usgs.gov/water/EGRET.git", "vcs": "git", - "laborHours": 500, + "laborHours": 700, "tags": [ "R", @@ -38,7 +38,7 @@ "email": "ldecicco@usgs.gov" }, "date": { - "metadataLastUpdated": "2018-06-08" + "metadataLastUpdated": "2021-04-09" } } ] diff --git a/vignettes/functionsForK.R b/vignettes/functionsForK.R deleted file mode 100644 index d617fe04..00000000 --- a/vignettes/functionsForK.R +++ /dev/null @@ -1,511 +0,0 @@ -########################## -# functionsForK is a set of add-ons to EGRET -# for doing the WRTDS_K estimation -# All fuctions (except for one) written by -# Robert M. Hirsch, in 2019 -# this file is December 17, 2019 -############################# -# makeDailyK -# This function takes an existing eList -# Including the estimated model (the surfaces object in the eList) -# And produces the daily WRTDS_K estimates of concentration and flux -# it requires MASS, EGRET, lubridate, and dplyr -############################### -makeDailyK <- function(eList, rho = 0.90, niter = 200, seed = 376168){ - set.seed(seed) - # this part is to set up the array of runs of missing values - localEList <- cleanUp(eList) - localDaily <- populateDailySamp(localEList$Daily, localEList$Sample) - numDays <- length(localDaily$Date) - numDaysP <- numDays + 1 - # set up DailyGen which will hold the daily generated flux values for all days and all iterations - DailyGen <- rep(0, numDays * niter) - dim(DailyGen) <- c(numDays, niter) - # x is a vector of the standardized residuals for each day - # most of the elements of x will be NA but those from sampled days will have values - x <- localDaily$stdResid - # xP is x that has been padded with a 0 at the start and a 0 at the end - # thus it is a vector that always starts and ends with non-missing values - xP <- c(0,x,0) - zz <- rle(is.na(xP)) - # zz$lengths is a vector of run lengths - # zz$values is a vector of the values: TRUE means it is a run of missings, - # FALSE means it is a run of non-missing values - nRuns <- length(zz$lengths) - zends <- cumsum(zz$lengths) - nRunsM <- nRuns - 1 - zstarts <- c(0,zends[1:nRunsM]) - # doGap is the indexs of the runs that are missing values (it is just the even integers) - doGap <- seq(2,nRunsM,2) - # numGap is the number of groups of missing values to be filled in - numGap <- length(doGap) - # now we are ready to do the iterations to generate the series - for(iter in 1:niter){ - localEList <- cleanUp(eList) - # this next step adds a trueConc column to Daily, and it is NA if there is no sample value - # it also adds the stdResid column to Daily - localDaily <- populateDailySamp(localEList$Daily, localEList$Sample) - x <- localDaily$stdResid - # xxP is x that has been padded with a 0 at the start and a 0 at the end - # thus it is a vector that always starts and ends with non-missing values - xxP <- c(0,x,0) - # now we are going to loop through all the gaps that need to be filled in - for(i in 1:numGap) { - iGap<-doGap[i] - startFill<-zstarts[iGap] - endFill<-zends[iGap]+1 - nFill<-zz$length[iGap]+2 - xfill<-genmissing(xxP[startFill],xxP[endFill],rho,nFill) - xxP[startFill:endFill]<-xfill} - # now we need to strip out the padded days - xResid <- xxP[2:numDaysP] - xConc <- exp((xResid*localDaily$SE)+localDaily$yHat) - DailyGen[,iter] <- xConc * localDaily$Q * 86.4 - } - # now we take means over all the iterations - GenMean <- rep(NA, numDays) - Daily <- eList$Daily - for(i in 1 : numDays) {GenMean[i] <- mean(DailyGen[i,])} - Daily$GenFlux <- GenMean - Daily$GenConc <- Daily$GenFlux / (Daily$Q * 86.4) - attr(Daily, "niter") <- niter - attr(Daily, "rho") <- rho - return(Daily) -} -# -# - -genmissing<-function(X1,XN,rho,N){ - # this code was done by Tim Cohn - # X1 is the value before the gap - # XN is the value after the gap - # rho is the lag one autocorrelation - # N is the length of the sequence including X1 and XN - # it is two more than the gap length - # it requires the MASS package - C<-t(chol(rho^abs(outer(1:N,1:N, "-"))[c(1,N,2:(N-1)),c(1,N,2:(N-1))])) - (C%*%c(ginv(C[1:2,1:2])%*%c(X1,XN),rnorm(N-2)))[c(1,3:N,2)] -} -# -# - -#################################### -# This function cleans up a Sample data frame -# It randomly picks one sample out of the multiple samples on a given day -# and it makes an augmented record substituting a random value on -# those days with censored data -# Note, it must have an eList with a valid surfaces matrix -# and the Sample data frame in the eList needs to have yHat and SE already calculated -#################################### -cleanUp <- function(eList){ - Sample <- random_subset(eList$Sample, "Julian") - eListClean <- as.egret(eList$INFO, eList$Daily, Sample, eList$surfaces) - eListClean <- makeAugmentedSample(eListClean) - Sample <- eListClean$Sample - Sample$Uncen <- 1 - Sample$ConcLow <- Sample$rObserved - Sample$ConcHigh <- Sample$rObserved - Sample$ConcAve <- Sample$rObserved - eListClean <- as.egret(eList$INFO, eList$Daily, Sample, eList$surfaces) - return(eListClean) -} -# -# -#################################### -# function written by Laura De Cicco October 2019 -# requires library(dplyr) -# makes a copy of a data frame but when there are -# multiple values with the specified col_name it randomly -# picks one of them and drops the others -# useage newSample <- random_subset(Sample, Julian) -################################### -random_subset <- function(df, col_name){ - - dup_index <- unique(c(which(duplicated(df[[col_name]], fromLast = FALSE)), - which(duplicated(df[[col_name]], fromLast = TRUE)))) - - if(length(dup_index) == 0){ - return(df) - } - - dup_index <- dup_index[order(dup_index)] - - unique_groups <- unique(df[[col_name]][dup_index]) - - slice_index <- sapply(unique_groups, function(x){ - sample(which(df[[col_name]] == x), size = 1) - }) - - df_dups <- df[slice_index, ] - df_no_dups <- df[-dup_index,] - - subDF <- rbind(df_no_dups, df_dups) - subDF <- subDF[order(subDF[[col_name]]),] - - return(subDF) -} -# -# -########################### -populateDailySamp<-function(localDaily=Daily,localSample=Sample) { - numDays<-length(localDaily$Julian) - numSamp<-length(localSample$Julian) - trueConc <- rep(NA,numDays) - trueFlux <- rep(NA, numDays) - stdResid <- rep(NA,numDays) - DailyOffset<-localDaily$Julian[1]-1 - for(samp in 1:numSamp){iday<-localSample$Julian[samp]-DailyOffset - trueConc[iday]<-localSample$ConcAve[samp] - trueFlux[iday] <- trueConc[iday] * localDaily$Q[iday] * 86.4 - stdResid[iday]<-(log(trueConc[iday])-localDaily$yHat[iday])/localDaily$SE[iday] - } - retDaily<-data.frame(localDaily,trueConc,trueFlux, stdResid) - return(retDaily) -} -# -setupYearsKalmanFlux <- function (localDaily, paLong = 12, paStart = 10) -{ -# note that fluxes returned are the sum of the daily fluxes -# the units on the fluxes are all metric tons - numDays <- length(localDaily$MonthSeq) - firstMonthSeq <- localDaily$MonthSeq[1] - lastMonthSeq <- localDaily$MonthSeq[numDays] - Starts <- seq(paStart, lastMonthSeq, 12) - Ends <- Starts + paLong - 1 - StartEndSeq <- data.frame(Starts, Ends) - StartEndSeq <- StartEndSeq[(StartEndSeq$Starts >= firstMonthSeq) & - (StartEndSeq$Ends <= lastMonthSeq), ] - firstMonth <- StartEndSeq[1, 1] - numYears <- length(StartEndSeq$Starts) - DecYear <- rep(NA, numYears) - Q <- rep(NA, numYears) - ConcDay <- rep(NA, numYears) - GenConc <- rep(NA, numYears) - FluxDay <- rep(NA, numYears) - GenFlux <- rep(NA, numYears) - for (i in 1:numYears) { - startMonth <- (i - 1) * 12 + firstMonth - stopMonth <- startMonth + paLong - 1 - DailyYear <- localDaily[which(localDaily$MonthSeq %in% - startMonth:stopMonth), ] - counter <- ifelse(is.na(DailyYear$FluxDay), 0, 1) - if (length(counter) > 0) { - good <- (sum(counter) == length(counter)) - } - else { - good <- FALSE - } - DecYear[i] <- mean(DailyYear$DecYear) - Q[i] <- mean(DailyYear$Q) - if (good) { - ConcDay[i] <- mean(DailyYear$ConcDay, na.rm = TRUE) - GenConc[i] <- mean(DailyYear$GenConc, na.rm = TRUE) - FluxDay[i] <- sum(DailyYear$FluxDay, na.rm = TRUE) / 1000 - GenFlux[i] <- sum(DailyYear$GenFlux, na.rm = TRUE) / 1000 - } - } - AnnualResults <- data.frame(DecYear, Q, ConcDay, GenConc, FluxDay, GenFlux) - attr(AnnualResults,"paStart") <- paStart - attr(AnnualResults,"paLong") <- paLong - return(AnnualResults) -} -# -# -# -computeAnnual <- function(eList, Daily, paStart = 10, paLong = 12) { - # it provides a printed list of the annual values and a set of plots - # if you don't want that output - # you can get the same thing with AnnualResults <- setupYearsKalmanFlux() - # This function creates an annual series of results - # The annual results can be for a specific season, specified by paStart and paLong - # The default is the water year - # FluxDay is the traditional regression estimate of Flux - # GenFlux is the Kalman Filter estimate - # ConcDay is the traditional regression estimate of Concentration - # GenConc is the Kalman Filter estimate - AnnualResults <- setupYearsKalmanFlux(Daily, paStart = paStart, paLong = paLong) - # in the print out Q is the annual mean value in m^3/s - # the two flux values are in metric tons kilograms (1000 kg) - print(eList$INFO$shortName) - print(eList$INFO$paramShortName) - period <- paste("paStart is",paStart," paLong is",paLong, sep = " ") - print(period) - print(AnnualResults) - yMax <- 1.1 * max(AnnualResults$FluxDay, AnnualResults$GenFlux) - nYears <- length(AnnualResults[,1]) - # first a plot of just the WRTDS estimate - xMin <- floor(AnnualResults[1,1]) - xMax <- ceiling(AnnualResults[nYears,1]) - xlim <- c(xMin,xMax) - title1 <- paste(eList$INFO$shortName,eList$INFO$paramShortName, - "\nAnnual Flux Estimates: WRTDS in red, WRTDS-K in green\n",period,sep=" ") - title2 <- paste(eList$INFO$shortName,eList$INFO$paramShortName, - "\nComparison of the two flux estimates\n",period,sep=" ") - # - plot(AnnualResults$DecYear, AnnualResults$FluxDay, pch = 20, cex = 1.3, xlim = xlim, xaxs = "i", - ylim = c(0, yMax), yaxs = "i", xlab = "", ylab = "Annual flux, metric tons", - main = title1, las = 1, col = "red", - tck = 0.02, cex.main = 1.1, cex.lab = 0.95) - par(new = TRUE) - plot(AnnualResults$DecYear, AnnualResults$GenFlux, pch = 20, cex = 1.4, col = "green", xlim = xlim, xaxs = "i", - ylim = c(0, yMax), yaxs = "i", xlab = "", ylab = "", main = "", las = 1, tck = 0.02, axes = FALSE) - # scatter plot - plot(AnnualResults$FluxDay, AnnualResults$GenFlux, pch = 20, cex = 1.3, col = "red", xlim = c(0, yMax), xaxs = "i", - ylim = c(0, yMax), las = 1, yaxs = "i", xlab = "WRTDS estimate of annual flux, in metric tons", ylab = - "WRTDS_K estimate of annual flux, in metric tons", cex.main = 1.1, cex.lab = 0.95, cex.axis = 1.2, - main = title2) - abline(a = 0, b = 1) - return(AnnualResults) -} -# -# -# -plotTimeSlice <- function(eList, Daily, start, end){ - Daily <- subset(Daily,DecYear >= start & DecYear <= end) - concHigh <- 1.1 * max(Daily$trueConc,Daily$GenConc,Daily$ConcDay,na.rm = TRUE) - concLow <- 0.9 * min(Daily$trueConc,Daily$GenConc,Daily$ConcDay,na.rm = TRUE) - fluxHigh <- 1.1 * max(Daily$trueFlux,Daily$GenFlux,Daily$FluxDay,na.rm = TRUE) - fluxLow <- 0.9 * min(Daily$trueFlux,Daily$GenFlux,Daily$FluxDay,na.rm = TRUE) - # figure out which data symbol to use, red for uncensored, brown for censored - eList$Sample$color <- ifelse(eList$Sample$Uncen == 1, "red", "cyan4") - par(tck = 0.02, las = 1) - # first concentration, then flux - name <- paste(eList$INFO$shortName, eList$INFO$paramShortName, sep = " ") - ratio <- mean(Daily$GenConc) / mean(Daily$ConcDay) - fratio <- format(ratio, digits = 2) - concTitle <- paste(name,"\nConcentrations, Black is WRTDS, Green is WRTDS_K\nData in red, (rl in blue if <), Ratio of means is", fratio, sep = " ") - - plot(Daily$DecYear, Daily$ConcDay, log = "y", type = "l", las = 1, xlim = c(start, end), - xaxs = "i", ylim = c(concLow,concHigh), yaxs = "i", xlab = "", cex.main = 0.9, - ylab = "Concentration, in milligrams per Liter", - main = concTitle) - par(new = TRUE) - plot(eList$Sample$DecYear, eList$Sample$ConcHigh, log = "y", pch = 20, cex = 1.1, col = eList$Sample$color, - xlim = c(start, end), xaxs = "i", ylim = c(concLow,concHigh), yaxs = "i", xlab = "", - ylab = "", main = "", axes = FALSE) - par(new = TRUE) - plot(Daily$DecYear, Daily$GenConc, log = "y", type = "l", xlim = c(start, end), - xaxs = "i", ylim = c(concLow,concHigh), yaxs = "i", xlab = "", col = "green", - ylab = "", main = "", axes = FALSE) - # flux graph - ratio <- mean(Daily$GenFlux) / mean(Daily$FluxDay) - fratio <- format(ratio, digits = 2) - fluxTitle <- paste(name,"\nFlux, Black is WRTDS, Green is WRTDS_K\nData in red, (rl in blue if <), Ratio of means is", fratio, sep = " ") - plot(Daily$DecYear, Daily$FluxDay, log = "y", type = "l", xlim = c(start, end), - xaxs = "i", ylim = c(fluxLow,fluxHigh), yaxs = "i", xlab = "", las = 1, - ylab = "Flux, in kg per day", cex.main = 0.95, - main = fluxTitle) - par(new = TRUE) - plot(eList$Sample$DecYear, eList$Sample$ConcHigh * eList$Sample$Q * 86.4, log = "y", pch = 20, - cex = 1.1, col = eList$Sample$color, - xlim = c(start, end), xaxs = "i", ylim = c(fluxLow,fluxHigh), yaxs = "i", xlab = "", - ylab = "", main = "", axes = FALSE) - par(new = TRUE) - plot(Daily$DecYear, Daily$GenFlux, log = "y", type = "l", xlim = c(start, end), - xaxs = "i", ylim = c(fluxLow,fluxHigh), yaxs = "i", xlab = "", col = "green", - ylab = "", main = "", axes = FALSE) -} -# -# -# -# script for identifying if a Sample data frame has -# any days with multiple samples -# or any samples that are uncensored -specialCase <- function(eList) { - Sample <- eList$Sample - n <- length(Sample$Date) - days <- unique(Sample$Julian) - nDays <- length(days) - mult <- if(n > nDays) TRUE else FALSE - nUncen <- sum(Sample$Uncen) - cen <- if(nUncen < n) TRUE else FALSE - # when mult is TRUE, needs to go through the subsampling process each time - # when cen is TRUE it needs to go through the random augmentation - special <- data.frame(mult, cen) - return(special) -} -########################################## -# -# this is substitute code for plotConcHist -########################################## -plotConcHistK <- function (eList, DailyK, yearStart = NA, yearEnd = NA, concMax = NA, - printTitle = TRUE, tinyPlot = FALSE, usgsStyle = FALSE, plotFlowNorm = TRUE, - plotAnnual = TRUE, cex = 0.8, cex.axis = 1.1, cex.main = 1.1, - lwd = 2, col = "black", col.pred = "green", customPar = FALSE, - ...) -{ - localDaily <- DailyK - localDaily$ConcDay <- DailyK$GenConc - localINFO <- getInfo(eList) - if (all(c("paStart", "paLong") %in% names(localINFO))) { - paLong <- localINFO$paLong - paStart <- localINFO$paStart - } - else { - paLong <- 12 - paStart <- 10 - } - if (!(c("FNConc") %in% names(eList$Daily))) { - stop("This function requires running modelEstimation on eList") - } - localAnnualResults <- setupYears(paStart = paStart, paLong = paLong, - localDaily = localDaily) - hasFlex <- c("segmentInfo") %in% names(attributes(eList$INFO)) - periodName <- setSeasonLabel(localAnnualResults = localAnnualResults) - if (hasFlex) { - periodName <- paste(periodName, "*") - } - if (plotAnnual & plotFlowNorm) { - title3 <- "\nMean Concentration(K) (dots) & Flow Normalized Concentration (line)" - } - else if (plotAnnual & !plotFlowNorm) { - title3 <- "\nAnnual Mean Concentration(K)" - } - else if (!plotAnnual & plotFlowNorm) { - title3 <- "\nFlow Normalized Concentration" - } - else { - title3 <- "\n" - } - title <- if (printTitle) - paste(localINFO$shortName, " ", localINFO$paramShortName, - "\n", periodName, title3) - else "" - if (is.na(yearStart)) { - yearStart <- min(localAnnualResults$DecYear[!is.na(localAnnualResults$FNConc)], - na.rm = TRUE) - } - if (is.na(yearEnd)) { - yearEnd <- max(localAnnualResults$DecYear[!is.na(localAnnualResults$FNConc)], - na.rm = TRUE) - } - xInfo <- generalAxis(x = localAnnualResults$DecYear, minVal = yearStart, - maxVal = yearEnd, padPercent = 0, tinyPlot = tinyPlot) - combinedY <- c(localAnnualResults$Conc, localAnnualResults$FNConc[localAnnualResults$DecYear > - xInfo$bottom & localAnnualResults$DecYear < xInfo$top]) - yInfo <- generalAxis(x = combinedY, minVal = 0, maxVal = concMax, - padPercent = 5, tinyPlot = tinyPlot, units = localINFO$param.units, - usgsStyle = usgsStyle) - genericEGRETDotPlot(x = NA, y = NA, xTicks = xInfo$ticks, - yTicks = yInfo$ticks, xDate = TRUE, xlim = c(xInfo$bottom, - xInfo$top), ylim = c(yInfo$bottom, yInfo$top), ylab = yInfo$label, - col = col, cex = cex, plotTitle = title, cex.axis = cex.axis, - cex.main = cex.main, tinyPlot = tinyPlot, customPar = customPar, - ...) - if (plotAnnual) { - with(localAnnualResults, points(DecYear[DecYear > xInfo$bottom & - DecYear < xInfo$top], Conc[DecYear > xInfo$bottom & - DecYear < xInfo$top], col = col, cex = cex, pch = 20)) - } - if (plotFlowNorm) { - with(localAnnualResults, lines(DecYear[DecYear > xInfo$bottom & - DecYear < xInfo$top], FNConc[DecYear > xInfo$bottom & - DecYear < xInfo$top], col = col.pred, lwd = lwd)) - } -} -######################################## -# -# substitute code for plotFluxHist -######################################### -plotFluxHistK <- function (eList, DailyK, yearStart = NA, yearEnd = NA, fluxUnit = 9, - fluxMax = NA, printTitle = TRUE, usgsStyle = FALSE, plotFlowNorm = TRUE, - plotAnnual = TRUE, tinyPlot = FALSE, col = "black", col.pred = "green", - cex = 0.8, cex.axis = 1.1, cex.main = 1.1, lwd = 2, customPar = FALSE, - ...) -{ - localINFO <- getInfo(eList) - localDaily <- DailyK - localDaily$FluxDay <- localDaily$GenFlux - if (sum(c("paStart", "paLong") %in% names(localINFO)) == - 2) { - paLong <- localINFO$paLong - paStart <- localINFO$paStart - } - else { - paLong <- 12 - paStart <- 10 - } - if (!(c("FNFlux") %in% names(eList$Daily))) { - stop("This function requires running modelEstimation on eList") - } - possibleGoodUnits <- c("mg/l", "mg/l as N", "mg/l as NO2", - "mg/l as NO3", "mg/l as P", "mg/l as PO3", "mg/l as PO4", - "mg/l as CaCO3", "mg/l as Na", "mg/l as H", "mg/l as S", - "mg/l NH4") - allCaps <- toupper(possibleGoodUnits) - localUnits <- toupper(localINFO$param.units) - if (!(localUnits %in% allCaps)) { - warning("Expected concentration units are mg/l, \nThe INFO dataframe indicates:", - localINFO$param.units, "\nFlux calculations will be wrong if units are not consistent") - } - localAnnualResults <- setupYears(paStart = paStart, paLong = paLong, - localDaily = localDaily) - if (is.numeric(fluxUnit)) { - fluxUnit <- fluxConst[shortCode = fluxUnit][[1]] - } - else if (is.character(fluxUnit)) { - fluxUnit <- fluxConst[fluxUnit][[1]] - } - if (tinyPlot) { - ylabel <- fluxUnit@unitExpressTiny - } - else { - ylabel <- ifelse(usgsStyle, fluxUnit@unitUSGS, fluxUnit@unitExpress) - } - unitFactorReturn <- fluxUnit@unitFactor - numYears <- length(localAnnualResults$DecYear) - yearStart <- if (is.na(yearStart)) - trunc(min(localAnnualResults$DecYear[!is.na(localAnnualResults$FNFlux)], - na.rm = TRUE)) - else yearStart - yearEnd <- if (is.na(yearEnd)) - trunc(max(localAnnualResults$DecYear[!is.na(localAnnualResults$FNFlux)], - na.rm = TRUE)) + 1 - else yearEnd - subAnnualResults <- localAnnualResults[localAnnualResults$DecYear >= - yearStart & localAnnualResults$DecYear <= yearEnd, ] - annFlux <- unitFactorReturn * subAnnualResults$Flux - fnFlux <- unitFactorReturn * subAnnualResults$FNFlux - hasFlex <- c("segmentInfo") %in% names(attributes(eList$INFO)) - periodName <- setSeasonLabel(localAnnualResults = localAnnualResults) - if (hasFlex) { - periodName <- paste(periodName, "*") - } - if (plotAnnual & plotFlowNorm) { - title3 <- "\nFlux Estimates(K) (dots) & Flow Normalized Flux (line)" - } - else if (plotAnnual & !plotFlowNorm) { - title3 <- "\nAnnual Flux Estimates(K)" - } - else if (!plotAnnual & plotFlowNorm) { - title3 <- "\nFlow Normalized Flux" - } - else { - title3 <- "\n" - } - title <- if (printTitle) - paste(localINFO$shortName, " ", localINFO$paramShortName, - "\n", periodName, title3) - else "" - xInfo <- generalAxis(x = subAnnualResults$DecYear, minVal = yearStart, - maxVal = yearEnd, padPercent = 0, tinyPlot = tinyPlot) - combinedY <- c(annFlux, fnFlux) - yInfo <- generalAxis(x = combinedY, minVal = 0, maxVal = fluxMax, - padPercent = 5, tinyPlot = tinyPlot) - genericEGRETDotPlot(x = NA, y = NA, xTicks = xInfo$ticks, - yTicks = yInfo$ticks, xDate = TRUE, xlim = c(xInfo$bottom, - xInfo$top), ylim = c(0, yInfo$top), col = col, ylab = ylabel, - plotTitle = title, customPar = customPar, cex = cex, - cex.axis = cex.axis, cex.main = cex.main, tinyPlot = tinyPlot, - ...) - if (plotAnnual) { - with(subAnnualResults, points(subAnnualResults$DecYear[DecYear > - xInfo$bottom & DecYear < xInfo$top], annFlux[DecYear > - xInfo$bottom & DecYear < xInfo$top], col = col, cex = cex, - pch = 20)) - } - if (plotFlowNorm) { - lines(subAnnualResults$DecYear, fnFlux, col = col.pred, - lwd = lwd) - } -} \ No newline at end of file