Description Usage Arguments Details Value Author(s) See Also Examples
Wrapper function for plot
and makeO2lab
to produce plots of
oxygen uptake as a function of time with better looking axis labels.
1 2 3 4 5 6 7 8 9 10 11 |
x |
A vector or a column from a data frame representing time,
typically in POSIXct or numeric (hours, days). POSIXct and hours are
compatible with |
y |
A vector or a column from a data frame representing oxygen uptake. |
mo2 |
Selects the formatting of MO2, such as |
o2 |
Oxygen units, either |
t |
Time unit, either |
m |
Mass unit for the animal, either |
showO2 |
Logical, to hide or show |
Xlab |
A character string to label the x-axis of the plot. Default is "Time (month-day)". |
... |
Additional parameters that |
Produces a plot which the user could easily reproduce by calling
makeO2lab
and plot
. A call to drawNights
can enhance
the plot.
A plot.
Denis Chabot, Institut Maurice-Lamontagne, Department of Fisheries and Oceans
plot
, par
, drawNights
,
makeO2lab
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | StartD = as.POSIXct("2016-05-05 07:00")
EndD = as.POSIXct("2016-05-12 08:00")
Y = 1:5
X = seq(StartD, EndD, length.out = 5)
plotMO2(X, Y, mgp=c(2,0.5,0))
# with real data
data(codSDA)
plotMO2(codSDA$DateTime, codSDA$MO2cor, mgp=c(2,0.5,0))
# a more complex use of plotMO2
data(codSDA)
# remove bad R2s
minR2 = 0.96
codSDA = subset(codSDA, r2 >= minR2)
# There was a sham-feeding 25.65 h before feeding. On average the
# sham-feeding increased MO2 for about 10 h.
# This period, as well as the period after the meal and during the period
# when the fist was first placed into the respirometer should be removed
# before calculating SMR
# This fish took a long time to calm down, the acclimation period was set
# to 24 h
start = -97.22 # first MO2
sham = -25.65 # time of sham-feeding
acclim = 24 # nb of hours to exclude because of handling stress, this fish took a long time to calm down
sham.acclim = 10 # nb of hours after sham-feeding with elevated MO2
# instead of creating a subset of the data, as in an example of
# calcSMR, we'll store indices instead
smr.ind = ((codSDA$Logtime_hr >= (start + acclim) &
codSDA$Logtime_hr < sham ) | (codSDA$Logtime_hr >=
(sham + sham.acclim) & codSDA$Logtime_hr < 0))
codSDA$pch = ifelse(smr.ind, 1, 15)
codSDA$cex = ifelse(smr.ind, 1, 0.7)
def.par <- par(no.readonly = TRUE) # save default, for resetting...
par(mar=c(3.1,3.3,0.2,0.2), mgp=c(1.8,0.5,0))
plotMO2(codSDA$DateTime, codSDA$MO2cor, mgp=c(2,0.5,0), pch=codSDA$pch,
cex=codSDA$cex)
smr = calcSMR(codSDA$MO2cor[smr.ind])
abline(h=c(smr$mlnd, smr$quant[4], smr$low10pc),
col=c("black", "blue", "red"))
legend("topright",
c("used for SMR", "not used for SMR", "MLND", "q_0.2", "low10pc"),
pch=c(15, 1,NA, NA, NA), pt.cex=c(0.7, 1,1,1,1),
lty=c(0,0,1,1,1),
col=c("black", "black", "black", "blue", "red"),
bty="n")
attr(codSDA$DateTime, "tzone") = "EST" # to force the use of the EST time
# zone, where the fish were studied
StartD = codSDA$DateTime[1]
EndD = codSDA$DateTime[nrow(codSDA)]
Coords = par("usr")
drawNights(StartD, EndD, Site=Sites$IML, TimeZone=myTZs$IMLst, coords=Coords)
par(def.par) # reset to default
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