Description Usage Arguments Details Value Author(s) Examples
Given a list of several complete transport data, the function overlays the transport profiles in a defined phase. The function is useful in membrane reuse experiments as transport profile deterioration is easily visualized.
1 2 3 4 5 
trans 
List of data frames with the complete transport
information of interest species. Must be generated
using 
phase 
Phase to be represented in the plot: 
trend 
List of Nonlinear regression models of the main species
transport profil. Generated using 
legend 
Logical. If 
xlab 
Label to be used for x axis. Text and expression allowed. 
ylab 
Label to be used for y axis. Text and expression allowed. 
xlim 
Numeric vector of limits for Xaxis. 
ylim 
Numeric vector of limits for Xaxis. 
xbreaks 
Numeric vector of xaxis breaks. 
ybreaks 
Numeric vector of xaxis breaks. 
size 
Size used for points in the plot. 
plot 
Logical. If 
shape 
Shape to use in the points to be plotted. 
bw 
Logical, if 
arw 
Logical default to 
arw.pos 
Numeric vector of the coordinates of the arrow if

arw.txt 
Text to be (optionally) printed alongside the arrow. 
txt.pos 
Numeric vector of the position of the center of the text
provided in 
txt.size 
Size of the text accompanying the arrow. 
Most transmem
graphical representations are made using the package
ggplot2
so the function returns a ggplot2 object that can be
assigned to a variable for further modification.
Plot with the overlayed transport profiles for a single phase
Cristhian Paredes, craparedesca@unal.edu.co
Eduardo Rodriguez de San Miguel, erdsmg@unam.mx
1 2 3 4 5 6 7 8 9 10 11 12 13  data(reusecycles)
# First step is to get trend lines for each cycle:
trend < list()
for (i in 1:length(reusecycles)) {
trend[[i]] < transTrend(trans = reusecycles[[i]])
}
# Default plot using colors:
multiPlotSP(trans = reusecycles, trend = trend, legend = TRUE)
# Black and white plot including an arrow:
multiPlotSP(trans = reusecycles, trend = trend, legend = TRUE, bw = TRUE,
arw = TRUE, arw.pos = c(6.1, 6.1, 0.8, 0.6),
arw.txt = 'Cycle', txt.pos = c(6.15, 0.7))

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