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Commit b8c4cba9 authored by Delaigue Olivier's avatar Delaigue Olivier
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feat(plot.OutputsModel): add an AxisTS atgument to manage x-axis on time series plots 

Refs # 122
parent 28f7ed14
dev 115-add-pcict-date-format-managment 136-decreased-performance-of-calibration-execution-time 161-runmodel_lag-proposal-for-a-better-transformation-and-screening-of-the-parameters 165-add-missing-isintstore-argument-in-createcaliboptions 171-check-error-direct-call-of-as-data-frame-posixct-is-deprecated-use-as-data-frame-vector-or-as 191-speed-up-runmodel_lag-when-it-is-used-alone 33-merge-airgr-and-airgrplus-functions master rmOptions CRAN_v1.7.6 CRAN_v1.7.5 CRAN_v1.7.4 CRAN_v1.7.3 CRAN_v1.7.2 CRAN_v1.7.1 CRAN_v1.7.0
2 merge requests!73Merge branch 'dev' into 'master',!47Draft: Resolve "Review the x-axis management of the plot.OutputsModel"
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R/plot.OutputsModel.R
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plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea = NULL, which = "synth", log_scale = FALSE,
cex.axis = 1, cex.lab = 0.9, cex.leg = 0.9, lwd = 1,
AxisTS = function(x) axis.POSIXct(side = 1, x = x$DatesR, ...),
LayoutMat = NULL, LayoutWidths = rep.int(1, ncol(LayoutMat)), LayoutHeights = rep.int(1, nrow(LayoutMat)),
verbose = TRUE, ...) {
## save default graphical parameters and resetting on exit
opar <- par(no.readonly = TRUE)
on.exit(par(opar))
OutputsModel <- x
if (!is.null(IndPeriod_Plot)) {
OutputsModel <- .IndexOutputsModel(OutputsModel, IndPeriod_Plot)
Qobs <- Qobs[IndPeriod_Plot]
IndPeriod_Plot <- seq_along(IndPeriod_Plot)
}
## ---------- check arguments
if (!inherits(OutputsModel, "GR") & !inherits(OutputsModel, "CemaNeige")) {
stop("'OutputsModel' not in the correct format for default plotting")
}
## check 'OutputsModel'
BOOL_Dates <- FALSE
if ("DatesR" %in% names(OutputsModel)) {
BOOL_Dates <- TRUE
}
BOOL_Pobs <- FALSE
if ("Precip" %in% names(OutputsModel)) {
BOOL_Pobs <- TRUE
}
BOOL_EPobs <- FALSE
if ("PotEvap" %in% names(OutputsModel)) {
BOOL_EPobs <- TRUE
}
BOOL_EAobs <- FALSE
if ("AE" %in% names(OutputsModel)) {
BOOL_EAobs <- TRUE
}
BOOL_Qsim <- FALSE
if ("Qsim" %in% names(OutputsModel)) {
BOOL_Qsim <- TRUE
}
BOOL_Qobs <- FALSE
if (BOOL_Qsim & length(Qobs) == length(OutputsModel$Qsim)) {
if (sum(is.na(Qobs)) != length(Qobs)) {
......@@ -53,27 +58,27 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
} else if (inherits(OutputsModel, "GR") & !is.null(Qobs)) {
warning("incorrect length of 'Qobs'. Time series of observed flow not drawn")
}
BOOL_Error <- FALSE
if (BOOL_Qsim & BOOL_Qobs) {
BOOL_Error <- TRUE
}
BOOL_Snow <- FALSE
if ("CemaNeigeLayers" %in% names(OutputsModel)) {
if ("SnowPack" %in% names(OutputsModel$CemaNeigeLayers[[1]])) {
BOOL_Snow <- TRUE
}
}
BOOL_Psol <- FALSE
if ("CemaNeigeLayers" %in% names(OutputsModel)) {
if ("Psol" %in% names(OutputsModel$CemaNeigeLayers[[1]])) {
BOOL_Psol <- TRUE
}
}
## check 'which'
whichNeedQobs <- c("Error", "CorQQ")
whichDashboard <- c("all", "synth", "ts", "perf")
......@@ -139,7 +144,7 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
}
}
## check dates
if (!BOOL_Dates) {
stop("'OutputsModel' must contain at least 'DatesR' to allow plotting")
......@@ -147,7 +152,7 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
if (inherits(OutputsModel, "GR") & !BOOL_Qsim) {
stop("'OutputsModel' must contain at least 'Qsim' to allow plotting")
}
if (BOOL_Dates) {
# MyRollMean1 <- function(x, n) {
# return(filter(x, rep(1 / n, n), sides = 2))
......@@ -157,7 +162,7 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
# }
MyRollMean3 <- function(x, n) {
return(filter(x, filter = rep(1 / n, n), sides = 2, circular = TRUE))
}
}
BOOL_TS <- FALSE
if (inherits(OutputsModel, "hourly")) {
BOOL_TS <- TRUE
......@@ -232,11 +237,11 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
warning("zeroes detected in 'Qsim': some plots in the log space will not be created using all time-steps")
}
BOOL_FilterZero <- TRUE
## ---------- plot
## plot choices
BOOLPLOT_Precip <- "Precip" %in% which & BOOL_Pobs
BOOLPLOT_PotEvap <- "PotEvap" %in% which & BOOL_EPobs
......@@ -248,30 +253,30 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
BOOLPLOT_Regime <- "Regime" %in% which & BOOL_Qsim & BOOL_TS & (NameTS %in% c("hour", "day", "month"))
BOOLPLOT_CumFreq <- "CumFreq" %in% which & (BOOL_Qsim | BOOL_Qobs) & BOOL_FilterZero
BOOLPLOT_CorQQ <- "CorQQ" %in% which & (BOOL_Qsim & BOOL_Qobs) & BOOL_FilterZero
## options
BLOC <- TRUE
if (BLOC) {
lwdk <- 1.8
line <- 2.6
bg <- NA
## Set plot arrangement
if (is.null(LayoutMat)) {
if (is.null(LayoutMat)) {
matlayout <- NULL
iPlot <- 0
iHght <- NULL
listBOOLPLOT1 <- c(Precip = BOOLPLOT_Precip,
PotEvap = BOOLPLOT_PotEvap | BOOLPLOT_ActuEvap,
PotEvap = BOOLPLOT_PotEvap | BOOLPLOT_ActuEvap,
Temp = BOOLPLOT_Temp , SnowPack = BOOLPLOT_SnowPack,
Flows = BOOLPLOT_Flows , Error = BOOLPLOT_Error)
listBOOLPLOT2 <- c(Regime = BOOLPLOT_Regime, CumFreq = BOOLPLOT_CumFreq,
CorQQ = BOOLPLOT_CorQQ)
Sum1 <- sum(listBOOLPLOT1)
Sum2 <- sum(listBOOLPLOT2)
for (k in seq_len(Sum1)) {
matlayout <- rbind(matlayout, iPlot + c(1, 1, 1))
iPlot <- iPlot + 1
......@@ -305,24 +310,25 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
matlayout <- LayoutMat
}
layout(matlayout, widths = LayoutWidths, heights = LayoutHeights)
Xaxis <- 1:length(IndPeriod_Plot)
if (BOOL_Dates) {
if (NameTS %in% c("hour", "day", "month")) {
Seq1 <- which(OutputsModel$DatesR[IndPeriod_Plot]$mday == 1 & OutputsModel$DatesR[IndPeriod_Plot]$mon %in% c(0, 3, 6, 9))
Seq2 <- which(OutputsModel$DatesR[IndPeriod_Plot]$mday == 1 & OutputsModel$DatesR[IndPeriod_Plot]$mon == 0)
Labels2 <- format(OutputsModel$DatesR[IndPeriod_Plot], format = formatAxis)[Seq2]
}
if (NameTS %in% c("year")) {
Seq1 <- 1:length(OutputsModel$DatesR[IndPeriod_Plot])
Seq2 <- 1:length(OutputsModel$DatesR[IndPeriod_Plot])
Labels2 <- format(OutputsModel$DatesR[IndPeriod_Plot], format = formatAxis)[Seq2]
}
}
Xaxis <- as.POSIXct(OutputsModel$DatesR[IndPeriod_Plot])
# Xaxis <- 1:length(IndPeriod_Plot)
# if (BOOL_Dates) {
# if (NameTS %in% c("hour", "day", "month")) {
# Seq1 <- which(OutputsModel$DatesR[IndPeriod_Plot]$mday == 1 & OutputsModel$DatesR[IndPeriod_Plot]$mon %in% c(0, 3, 6, 9))
# Seq2 <- which(OutputsModel$DatesR[IndPeriod_Plot]$mday == 1 & OutputsModel$DatesR[IndPeriod_Plot]$mon == 0)
# Labels2 <- format(OutputsModel$DatesR[IndPeriod_Plot], format = formatAxis)[Seq2]
# }
# if (NameTS %in% c("year")) {
# Seq1 <- 1:length(OutputsModel$DatesR[IndPeriod_Plot])
# Seq2 <- 1:length(OutputsModel$DatesR[IndPeriod_Plot])
# Labels2 <- format(OutputsModel$DatesR[IndPeriod_Plot], format = formatAxis)[Seq2]
# }
# }
if (!is.null(BasinArea)) {
Factor_UNIT_M3S <- switch(NameTS,
hour = 60 * 60,
......@@ -332,9 +338,9 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
Factor_UNIT_M3S <- BasinArea / (Factor_UNIT_M3S / 1000)
}
}
kPlot <- 0
## vector of Q values for the y-axis when it is expressed in
Factor <- ifelse(!is.null(BasinArea), Factor_UNIT_M3S, 1)
seqDATA0 <- c(0.01, 0.02, 0.05, 0.1, 0.2, 0.5, 1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000, 5000, 10000)
......@@ -344,17 +350,17 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
seqDATA1ba <- log(seqDATA0 * Factor_UNIT_M3S)
seqDATA2ba <- round(exp(seqDATA1ba), digits = 2)
}
## Precip
if (BOOLPLOT_Precip) {
kPlot <- kPlot + 1
mar <- c(3, 5, 1, 5)
par(new = FALSE, mar = mar)
ylim1 <- range(OutputsModel$Precip[IndPeriod_Plot], na.rm = TRUE)
ylim2 <- ylim1 * c(1.0, 1.1)
ylim2 <- rev(ylim2)
lwdP <- lwd * 0.7
if (NameTS %in% c("month", "year")) {
lwdP <- lwd * 2
......@@ -365,31 +371,33 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
xlab = "", ylab = "", ...)
axis(side = 2, at = pretty(ylim1), labels = pretty(ylim1), cex.axis = cex.axis, ...)
mtext(side = 2, paste("precip.", plotunit), cex = cex.lab, adj = 1, line = line)
if (BOOL_Psol) {
legend("bottomright", legend = c("solid","liquid"),
col = c("lightblue", "royalblue"), lty = c(1, 1), lwd = c(lwd, lwd),
bty = "o", bg = bg, box.col = bg, cex = cex.leg)
par(new = TRUE)
plot(Xaxis, PsolLayerMean[IndPeriod_Plot],
# par(new = TRUE)
# plot(Xaxis, PsolLayerMean[IndPeriod_Plot],
points(Xaxis, PsolLayerMean[IndPeriod_Plot],
type = "h", xaxt = "n", yaxt = "n", yaxs = "i", ylim = ylim2,
col = "lightblue", lwd = lwdP * lwdk, lend = 1,
xlab = "", ylab = "", ...)
}
if (BOOL_Dates) {
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
} else {
axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
}
# if (BOOL_Dates) {
# axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
# axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
# } else {
# axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
# }
AxisTS(OutputsModel)
}
## PotEvap
if (BOOLPLOT_PotEvap) {
kPlot <- kPlot + 1
mar <- c(3, 5, 1, 5)
par(new = FALSE, mar = mar)
if (!BOOLPLOT_ActuEvap) {
ylim1 <- range(OutputsModel$PotEvap[IndPeriod_Plot], na.rm = TRUE)
......@@ -401,8 +409,8 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
xlabE <- "evap."
}
ylim2 <- ylim1 #* c(1.0, 1.1)
plot(Xaxis, OutputsModel$PotEvap[IndPeriod_Plot],
type = "l", xaxt = "n", yaxt = "n", ylim = ylim2,
col = "green3", lwd = lwd * lwdk,
......@@ -410,49 +418,51 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
if (BOOLPLOT_ActuEvap) {
lines(Xaxis, OutputsModel$AE[IndPeriod_Plot],
type = "l", xaxt = "n", yaxt = "n", ylim = ylim2,
col = "green4", lwd = lwd * lwdk, lty = 3)
col = "green4", lwd = lwd * lwdk, lty = 3)
legend("topright", legend = c("pot.", "actu."), col = c("green3", "green4"),
lty = c(1, 3), lwd = c(lwd*1.0, lwd*0.8),
bty = "o", bg = bg, box.col = bg, cex = cex.leg)
}
axis(side = 2, at = pretty(ylim1), labels = pretty(ylim1), cex.axis = cex.axis, ...)
mtext(side = 2, paste(xlabE, plotunit), cex = cex.lab, line = line)
if (BOOL_Dates) {
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
} else {
axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
}
# if (BOOL_Dates) {
# axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
# axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
# } else {
# axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
# }
AxisTS(OutputsModel)
}
## ActuEvap
if (BOOLPLOT_ActuEvap & !BOOLPLOT_PotEvap) {
kPlot <- kPlot + 1
mar <- c(3, 5, 1, 5)
par(new = FALSE, mar = mar)
ylim1 <- range(OutputsModel$AE[IndPeriod_Plot], na.rm = TRUE)
ylim2 <- ylim1 #* c(1.0, 1.1)
plot(Xaxis, OutputsModel$AE[IndPeriod_Plot],
type = "l", xaxt = "n", yaxt = "n", ylim = ylim2,
col = "green4", lwd = lwd * lwdk,
xlab = "", ylab = "", ...)
axis(side = 2, at = pretty(ylim1), labels = pretty(ylim1), cex.axis = cex.axis, ...)
mtext(side = 2, paste("actu. evap.", plotunit), cex = cex.lab, line = line)
if (BOOL_Dates) {
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
} else {
axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
}
# if (BOOL_Dates) {
# axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
# axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
# } else {
# axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
# }
AxisTS(OutputsModel)
}
## Temp
if (BOOLPLOT_Temp) {
kPlot <- kPlot + 1
......@@ -468,29 +478,30 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
SnowPackLayerMean <- SnowPackLayerMean + OutputsModel$CemaNeigeLayers[[iLayer]]$Temp/NLayers
}
}
plot(SnowPackLayerMean[IndPeriod_Plot], type = "n", ylim = ylim1, xlab = "", ylab = "", xaxt = "n", yaxt = "n", ...)
plot(Xaxis, SnowPackLayerMean[IndPeriod_Plot], type = "n", ylim = ylim1, xlab = "", ylab = "", xaxt = "n", yaxt = "n", ...)
for(iLayer in 1:NLayers) {
lines(OutputsModel$CemaNeigeLayers[[iLayer]]$Temp[IndPeriod_Plot], lty = 3, col = "orchid", lwd = lwd * lwdk * 0.8)
lines(Xaxis, OutputsModel$CemaNeigeLayers[[iLayer]]$Temp[IndPeriod_Plot], lty = 3, col = "orchid", lwd = lwd * lwdk * 0.8)
}
abline(h = 0, col = "grey", lty = 2)
lines(SnowPackLayerMean[IndPeriod_Plot], type = "l", lwd = lwd * lwdk *1.0, col = "darkorchid4")
lines(Xaxis, SnowPackLayerMean[IndPeriod_Plot], type = "l", lwd = lwd * lwdk *1.0, col = "darkorchid4")
axis(side = 2, at = pretty(ylim1), labels = pretty(ylim1), cex.axis = cex.axis, ...)
mtext(side = 2, expression(paste("temp. [", degree, "C]"), sep = ""), padj = 0.2, line = line, cex = cex.lab)
legend("topright", legend = c("mean", "layers"), col = c("darkorchid4", "orchid"),
lty = c(1, 3), lwd = c(lwd*1.0, lwd*0.8),
bty = "o", bg = bg, box.col = bg, cex = cex.leg)
box()
if (BOOL_Dates) {
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
} else {
axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
}
# if (BOOL_Dates) {
# axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
# axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
# } else {
# axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
# }
AxisTS(OutputsModel)
}
## SnowPack
if (BOOLPLOT_SnowPack) {
kPlot <- kPlot + 1
......@@ -506,33 +517,34 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
SnowPackLayerMean <- SnowPackLayerMean + OutputsModel$CemaNeigeLayers[[iLayer]]$SnowPack/NLayers
}
}
plot(SnowPackLayerMean[IndPeriod_Plot], type = "l", ylim = ylim1, lwd = lwd * lwdk *1.2, col = "royalblue", xlab = "", ylab = "", xaxt = "n", yaxt = "n", ...)
plot(Xaxis, SnowPackLayerMean[IndPeriod_Plot], type = "l", ylim = ylim1, lwd = lwd * lwdk *1.2, col = "royalblue", xlab = "", ylab = "", xaxt = "n", yaxt = "n", ...)
for(iLayer in 1:NLayers) {
lines(OutputsModel$CemaNeigeLayers[[iLayer]]$SnowPack[IndPeriod_Plot], lty = 3, col = "royalblue", lwd = lwd * lwdk *0.8)
lines(Xaxis, OutputsModel$CemaNeigeLayers[[iLayer]]$SnowPack[IndPeriod_Plot], lty = 3, col = "royalblue", lwd = lwd * lwdk *0.8)
}
axis(side = 2, at = pretty(ylim1), labels = pretty(ylim1), cex.axis = cex.axis, ...)
mtext(side = 2, paste("snow pack", "[mm]"), line = line, cex = cex.lab)
legend("topright", legend = c("mean", "layers"), col = c("royalblue", "royalblue"),
lty = c(1, 3), lwd = c(lwd*1.2, lwd*0.8),
bty = "o", bg = bg, box.col = bg, cex = cex.leg)
box()
if (BOOL_Dates) {
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
} else {
axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
}
# if (BOOL_Dates) {
# axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
# axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
# } else {
# axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
# }
AxisTS(OutputsModel)
}
## Flows
if (BOOLPLOT_Flows & log_scale) {
kPlot <- kPlot + 1
mar <- c(3, 5, 1, 5)
par(new = FALSE, mar = mar)
if (BOOL_Qobs) {
if (BOOL_Qobs) {
DATA2 <- Qobs
DATA2[!SelectQobsNotZero] <- mean(Qobs, na.rm = TRUE) / 10000
DATA2 <- log(DATA2)
......@@ -540,7 +552,7 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
DATA3 <- OutputsModel$Qsim
DATA3[!SelectQsimNotZero] <- mean(OutputsModel$Qsim, na.rm = TRUE) / 10000
DATA3 <- log(DATA3)
ylim1 <- range(DATA3[IndPeriod_Plot], na.rm = TRUE)
if (BOOL_Qobs) {
ylim1 <- range(c(ylim1, DATA2[IndPeriod_Plot]), na.rm = TRUE)
......@@ -566,12 +578,13 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
axis(side = 4, at = seqDATA1ba, labels = seqDATA2ba, cex.axis = cex.axis, ...)
mtext(side = 4, paste("flow", "[m3/s]"), line = line, cex = cex.lab)
}
if (BOOL_Dates) {
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
} else {
axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
}
# if (BOOL_Dates) {
# axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
# axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
# } else {
# axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
# }
AxisTS(OutputsModel)
legend("topright", txtleg, col = colleg, lty = 1, lwd = lwd * lwdk , bty = "o", bg = bg, box.col = bg, cex = cex.leg)
legend("bottomright", "log scale", lty = 1, col = NA, bty = "o", bg = bg, box.col = bg, cex = cex.leg)
box()
......@@ -605,22 +618,23 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
axis(side = 4, at = pretty(ylim1*Factor)/Factor, labels = pretty(ylim1*Factor), cex.axis = cex.axis, ...)
mtext(side = 4, paste("flow", "[m3/s]"), line = line, cex = cex.lab)
}
if (BOOL_Dates) {
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
} else {
axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
}
# if (BOOL_Dates) {
# axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
# axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
# } else {
# axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
# }
AxisTS(OutputsModel)
legend("topright", txtleg, col = colleg, lty = 1, lwd = lwd * lwdk , bty = "o", bg = bg, box.col = bg, cex = cex.leg)
box()
}
## Error
if (BOOLPLOT_Error) {
kPlot <- kPlot + 1
mar <- c(3, 5, 1, 5)
if (log_scale) {
errorQ <- log(OutputsModel$Qsim[IndPeriod_Plot]) - log(Qobs[IndPeriod_Plot])
} else {
......@@ -640,18 +654,19 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
axis(side = 4, at = pretty(ylim1*Factor)/Factor, labels = pretty(ylim1*Factor), cex.axis = cex.axis, ...)
mtext(side = 4, paste("flow error", "[m3/s]"), line = line, cex = cex.lab)
}
if (BOOL_Dates) {
axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
} else {
axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
}
# if (BOOL_Dates) {
# axis(side = 1, at = Seq1, labels = FALSE, cex.axis = cex.axis, ...)
# axis(side = 1, at = Seq2, labels = Labels2, lwd.ticks = 1.5, cex.axis = cex.axis, ...)
# } else {
# axis(side = 1, at = pretty(Xaxis), labels = pretty(Xaxis), cex.axis = cex.axis, ...)
# }
AxisTS(OutputsModel)
if (log_scale) {
legend("bottomright", "log scale", lty = 1, col = NA, bty = "o", bg = bg, box.col = bg, cex = cex.leg)
}
}
## Regime
if (BOOLPLOT_Regime) {
kPlot <- kPlot + 1
......@@ -722,20 +737,20 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
format = "%m%d")))
DataDailyInterAn <- as.data.frame(aggregate(DataDaily[, 2:5], by = list(as.numeric(substr(TxtDatesDataDaily , 5, 8))), FUN = mean, na.rm = TRUE))
colnames(DataDailyInterAn) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim")
DataDailyInterAn <- merge(SeqY, DataDailyInterAn, by = "Dates", all.x = TRUE, all.y = FALSE)
DataDailyInterAn <- merge(SeqY, DataDailyInterAn, by = "Dates", all.x = TRUE, all.y = FALSE)
}
if (!is.null(DataMonthly)) {
SeqM <- data.frame(Dates = 1:12)
DataMonthlyInterAn <- as.data.frame(aggregate(DataMonthly[, 2:5], by = list(as.numeric(substr(TxtDatesDataMonthly, 5, 6))), FUN = mean, na.rm = TRUE))
colnames(DataMonthlyInterAn) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim")
DataMonthlyInterAn <- merge(SeqM, DataMonthlyInterAn, by = "Dates", all.x = TRUE, all.y = FALSE)
DataMonthlyInterAn <- merge(SeqM, DataMonthlyInterAn, by = "Dates", all.x = TRUE, all.y = FALSE)
}
## Smoothing_of_daily_series_and_scale_conversion_to_make_them_become_a_monthly_regime
if (!is.null(DataDaily)) {
## Smoothing
NDaysWindow <- 30
DataDailyInterAn <- as.data.frame(cbind(DataDailyInterAn$Dates,
MyRollMean3(DataDailyInterAn$Precip, NDaysWindow), MyRollMean3(DataDailyInterAn$Psol, NDaysWindow),
DataDailyInterAn <- as.data.frame(cbind(DataDailyInterAn$Dates,
MyRollMean3(DataDailyInterAn$Precip, NDaysWindow), MyRollMean3(DataDailyInterAn$Psol, NDaysWindow),
MyRollMean3(DataDailyInterAn$Qobs , NDaysWindow), MyRollMean3(DataDailyInterAn$Qsim, NDaysWindow)))
colnames(DataDailyInterAn) <- c("Dates", "Precip", "Psol", "Qobs", "Qsim")
## Scale_conversion_to_make_them_become_a_monthly_regime
......@@ -823,8 +838,8 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
box()
}
}
## Cumulative_frequency
if (BOOLPLOT_CumFreq) {
kPlot <- kPlot + 1
......@@ -851,7 +866,7 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
xlab = "", ylab = "", ...)
axis(side = 1, at = pretty(xlim), labels = pretty(xlim), cex.axis = cex.axis, ...)
mtext(side = 1, text = "non-exceedance prob. [-]", line = line, cex = cex.lab)
axis(side = 2, at = seqDATA1, labels = seqDATA2, cex.axis = cex.axis, ...)
axis(side = 2, at = seqDATA1, labels = seqDATA2, cex.axis = cex.axis, ...)
mtext(side = 2, text = paste("flow", plotunit), line = line, cex = cex.lab)
txtleg <- NULL
colleg <- NULL
......@@ -896,8 +911,8 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
}
box()
}
## Correlation_QQ
if (BOOLPLOT_CorQQ) {
kPlot <- kPlot + 1
......@@ -928,7 +943,7 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
}
box()
}
## Empty_plots
if (exists("iPlotMax")) {
while (kPlot < iPlotMax) {
......@@ -937,8 +952,8 @@ plot.OutputsModel <- function(x, Qobs = NULL, IndPeriod_Plot = NULL, BasinArea =
plot(0, 0, type = "n", xlab = "", ylab = "", axes = FALSE, ...)
}
}
## Restoring_layout_options
# layout(1)
}
man/plot.OutputsModel.Rd
+ 3
− 0
View file @ b8c4cba9
......@@ -21,6 +21,7 @@ Function which creates a screen plot giving an overview of the model outputs.
\method{plot}{OutputsModel}(x, Qobs = NULL, IndPeriod_Plot = NULL,
BasinArea = NULL, which = "synth", log_scale = FALSE,
cex.axis = 1, cex.lab = 0.9, cex.leg = 0.9, lwd = 1,
AxisTS = function(x) axis.POSIXct(side = 1, x = x$DatesR, ...),
LayoutMat = NULL,
LayoutWidths = rep.int(1, ncol(LayoutMat)),
LayoutHeights = rep.int(1, nrow(LayoutMat)),
......@@ -49,6 +50,8 @@ Function which creates a screen plot giving an overview of the model outputs.
\item{lwd}{(optional) [numeric] the line width (a positive number)}
\item{AxisTS}{(optional) [function] to manage x-axis representing calendar dates and times on time series plots (see \code{\link{axis}} and \code{\link{axis.POSIXct}})}
\item{LayoutMat}{(optional) [numeric] a matrix object specifying the location of the next N figures on the output device. Each value in the matrix must be 0 or a positive integer. If N is the largest positive integer in the matrix, then the integers {1, \dots, N-1} must also appear at least once in the matrix (see \code{\link{layout}})}
\item{LayoutWidths}{(optional) [numeric] a vector of values for the widths of columns on the device (see \code{\link{layout}})}
......
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