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#' @title Creates a line based plot of temperature profile time series
#'
#' @description A non-heat map approach to visualizing a water temperature profile useful
#' for identify temperature trends over time at discrete depths and diagnosing
#' issues with data.
#'
#'
#' @param wtr Data frame of water temperature loaded with
#' \code{\link{load.ts}}.
#' @param ylab y axis title
#' @param \dots Additional parameters supplied to the plot function
#' @seealso See \code{\link{load.ts}} and \code{\link{wtr.heat.map}}
#' @keywords hplot
#' @examples
#'
#' exampleFilePath <- system.file('extdata', 'Sparkling.wtr', package="rLakeAnalyzer")
#' wtr= load.ts(exampleFilePath)
#' \dontrun{
#' wtr.lineseries(wtr, ylab = "Temperature C")
#' }
#' @export
#'
wtr.lineseries = function(wtr, ylab = "Temperature C",...){
nn = ncol(wtr) # number of columns in data set
mmax = max((wtr[,2]), na.rm = TRUE) # max temp in data set
mmin = -1 + min((wtr[,nn]), na.rm = TRUE) # min temp in data set plus a 1 degree buffer
starttime = min(wtr[,1]) #earliest date
endtime = max(wtr[,1]) #latest date
colors1 = grDevices::colorRampPalette(c("red"
,"orange"
,"yellow"
,"green3"
,"cyan"
,"blue"
,"violet")
, bias = 1
, space = "rgb")
colors = colors1(n = ncol(wtr))
# defining units and labels for x axis
wtr.dates = get.datetime(wtr, error=TRUE) # turn datetime into vector
datestoshow = pretty(wtr.dates) # pretty vector to specify tick mark location
sec.endtime = as.numeric(endtime) # show time as seconds
sec.starttime = as.numeric(starttime) # show time as seconds
tt = sec.endtime - sec.starttime # time range of data frame; used to specify time axis
# specify x axis format based upon time range of data
ttformat = c()
if(tt < 1.1*60) { # if time is less than 1 hr units are seconds
ttformat <- "%S"
} else if (tt < 1.1*60*60) { # if time is less than 1.1 hours units are min:sec
ttformat <- "%M:%S"
} else if (tt < 60*60*24*2) {# if time is less than 2 days units are hour:min
ttformat <- "%H:%M"
} else if (tt < 60*60*24*7) { # if time is less than 7 days units are Jul 25 10:15
ttformat <- "%d %b %H"
} else if (tt < 60*60*24*7*8.9) {# if time is less than 2 months units are ex. Jul 25 10:15
ttformat <- "%d %b %H:%M"
} else if (tt < 60*60*24*365) { # if time is less than 12 months units are Jun, Jul, Aug
ttformat <- "%b"
} else if (tt > 60*60*24*365.25){ # if time is more than 12 months units are Jul 2013
ttformat <- "%b %Y"
}
# specify x axis labels based upon time range of data
xxlab = c()
if(tt < 1.1*60) { # if time is less than 1 minutes units are seconds
xxlab <- "Seconds"
} else if (tt < 1.1*60*60) { # if time is less than 1.1 hours units are min:sec
xxlab <- "Minutes"
} else if (tt < 60*60*24*2) {# if time is less than 2 days units are hour:min
xxlab <- "Hours"
} else if (tt < 60*60*24*7) { # if time is less than 7 days units are Jul 25 10:15
xxlab <- " "
} else if (tt < 60*60*24*7*8.9) {# if time is less than 2 months units are ex. Jul 25
xxlab <- " "
} else if (tt < 60*60*24*365) { # if time is less than 12 months units are Jun, Jul, Aug
xxlab <- " "
} else if (tt > 60*60*24*365.25){ # if time is more than 12 months units are Jul 2013
xxlab <- " "
}
#tiff('wtf2.tiff',width=1600, height=900, res=300, compression='lzw')
#plot temp over time; each depth as a unique line
graphics::plot(wtr[,1],
wtr[,2]
,type='l'
,col=colors[1]
,bty = "n"
,ylim = c(mmin,mmax)
,xlim = c(starttime, endtime)
,tck = -0.03
,axes = F #supress axes
,xlab = xxlab
,ylab = ylab #"Temperature C"
, ...
)
for( i in 3:ncol(wtr)){
graphics::lines(wtr[,1], wtr[,i], type='l', col=colors[i])
}
# x axis
graphics::axis(side = 1, labels=format(datestoshow, ttformat), at = datestoshow, pos = c(mmin), tck = -0.03)
graphics::abline(h = mmin, col = "black", lty = 1)
# y axis
graphics::axis (side = 2, pos = c(starttime), at = NULL, las = 1)
graphics::abline(v = starttime, col = "black")
# generate and place legend
graphics::legend( "top"
, col = colors[c(1, nn)]
, lty = 1, bty = "n"
, legend = c("Surface", "Bottom")
, cex = 0.75
, xpd = TRUE
, inset=c(0,-0.1)
, y.intersp = 0.4
, horiz=TRUE)
}
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