View source: R/plotMonthTrend.R
plotMonthTrend | R Documentation |
Plot monthly trend result from runPairs. The change in concentration
or flux is calculated from the runPairs
function. This plotting
function shows an arrow for each month. If the trend from year1 to year2
was increasing, the arrow is red and pointing up. If the trend was decreasing,
the arrow is black and pointing down.
plotMonthTrend(pairResults, yMax = NA, arrowFactor = 0.75, flux = TRUE,
printTitle = TRUE, concLab = 1, monthLab = 1)
pairResults |
results from |
yMax |
numeric. Upper limit for plot. Default is |
arrowFactor |
numeric. Scaling factor for the size of the arrows. The arrows are automatically scaled to the overall trend. This scaling factor helps adjust how big/small they are. |
flux |
logical. |
printTitle |
logical variable if TRUE title is printed, if FALSE title is not printed (this is best for a multi-plot figure) |
concLab |
object of concUnit class, or numeric represented the short code,
or character representing the descriptive name. By default, this argument sets
concentration labels to use either Concentration or Conc (for tiny plots). Units
are taken from the eList$INFO$param.units. To use any other words than
"Concentration" see |
monthLab |
object of monthLabel class, or numeric represented the short code, or character representing the descriptive name. |
The flux values for each month are flow normalized monthly watershed yields expressed as kg/month/km^2. The concentrations are the mean flow normalized concentration, expressed in whatever concentration units the raw data are expressed as (typically mg/L).
Base R plot of monthly trends
eList <- Choptank_eList
year1 <- 1985
year2 <- 2010
pairOut_1 <- runPairs(eList, year1, year2, windowSide = 0)
plotMonthTrend(pairOut_1)
plotMonthTrend(pairOut_1, flux = FALSE)
eList <- setPA(eList, paStart = 12, paLong = 3)
pairOut_2 <- runPairs(eList, year1, year2, windowSide = 0)
plotMonthTrend(pairOut_2)
eList <- setPA(eList, paStart = 1, paLong = 12)
pairOut_3 <- runPairs(eList, year1, year2, windowSide = 0)
plotMonthTrend(pairOut_3)
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