R/attrition.R
In epijim/PharmaPlots: Plotting wrappers
Defines functions
attrition
Documented in
attrition
#' Quickly get an attrition plot
#'
#' This function will take raw values. It's based on a stackoverflow post (see raw code).
#' @section Bugs:
#' If you find an issue, post it here and we'll try and fix it: \url{http://go.roche.com/RochePlotissue}
#' @param inputs Numeric vector of n's going in
#' @param losses Numeric vector of n's going out - last is those included
#' @param unit Preface a unit?
#' @param labels Character vector of labels - in order of inputs then losses.
#' @param format The default is "plot," which produces a plot in the R graphics device. Current alternate options include "pdf" and "bmp," which produce those file types under the name "Sankey.xxx" in the current directory.
#' @keywords teradata attrition sankey
#' @export
#' @importFrom magrittr "%>%"
#' @examples
#' attrition(
#' inputs = c(212,304),
#' losses = c(111,134,271),
#' unit = "",
#' labels = c("Medicare","Commercial","No followup","Missing something","Included")
#' )
attrition <- function(
inputs,
losses,
unit,
labels,
format="plot"){
########################
# SankeyR version 1.01 (updated August 10, 2010)
# is a function for creating Sankey Diagrams in R.
# See http://www.sankey-diagrams.com for excellent examples of Sankey Diagrams.
#
# OPTIONS:
# 'inputs' is a vector of input values
# 'losses' is a vector of loss values
# 'unit' is a string of the unit
# 'labels' is a vector of the labels for inputs and losses
# 'format' is the type of plotting:
# The default is "plot," which produces a plot in the R graphics device.
# Current alternate options include "pdf" and "bmp," which produce
# those file types under the name "Sankey.xxx" in the current directory.
#
# Inputs do not need to equal losses. Any difference will be displayed
# as a discrepancy in the height of the left and right sides of the diagram.
# This capability enables the developer to examine imbalances in flows.
# Percentages are a proportion of the inputs (so, the outputs might not equal 100%).
#
# EXAMPLE:
# Try using these values for the global carbon cycle, from Schlesinger (1997):
# inputs = c(120,92)
# losses = c(45,75,90,1,6)
# unit = "GtC/yr"
# labels = c("GPP","Ocean assimilation","Ra","Rh","Ocean loss","LULCC","Fossil fuel emissions")
# SankeyR(inputs,losses,unit,labels)
#
# UPDATES:
# 8/10/10 - Added drawing for only one input.
#
# CREDITS:
# Created for R by Aaron BERDANIER
# send questions or comments to
# aaron.berdanier@gmail.com
#
# SankeyR is based strongly on drawSankey for Matlab,
# from James SPELLING, KTH-EGI-EKV (spelling@kth.se)
# http://leniwiki.epfl.ch/index.php/DrawSankey
#
# Distributed under Creative Commons Attribution Non-Commercial.
# Licensees may copy, distribute, display, and perform the work and make
# derivative works based on it only for noncommercial purposes.
#
# Aaron would appreciate notification if you modify or improve this function.
########################
# Calculate fractional losses and inputs
frLosses = losses/sum(inputs)
frInputs = inputs/sum(inputs)
# First input and last output labels
inputLabel = paste(labels[1],": ",unit,inputs[1]," (",round(100*frInputs[1],digits=1),"%)",sep="")
lossLabel = paste(labels[length(labels)],": ",unit,losses[length(losses)]," (",round(100*frLosses[length(losses)],digits=1),"%)",sep="")
########################
# Calculate position of plot axes (repeat of annotated code below; alternative: save values as vectors...)
limTop = frInputs[1]; posTop = 0.4; maxy=0
limBot = 0; posBot = 0.1
if(length(inputs)>1){
for(j in 2:length(inputs)){
rI = max(0.07, abs(frInputs[j]/2))
rE = rI + abs(frInputs[j])
newPosB = posBot + rE*sin(pi/4) + 0.01
posBot = newPosB
arcEx = posBot - rE*sin(seq(0,pi/4,length.out=100))
arcEy = limBot - rE*(1-cos(seq(0,pi/4,length.out=100)))
arcIx = posBot - rI*sin(seq(0,pi/4,length.out=100))
arcIy = limBot - rE + rI*cos(seq(0,pi/4,length.out=100))
phiTip = pi/4 - 2*min(0.05, 0.8*abs(frInputs[j]))/(rI + rE)
xTip = posBot - (rE+rI)*sin(phiTip)/2
yTip = limBot - rE + (rE+rI)*cos(phiTip)/2
limBot = limBot - frInputs[j]
}
}else{}
posTop = posBot + 0.4
for(i in 1:(length(losses)-1)){
rI = max(0.07, abs(frLosses[i]/2))
rE = rI + abs(frLosses[i])
arcIx = posTop + rI*sin(seq(0,pi/2,length.out=100))
arcIy = limTop + rI*(1 - cos(seq(0,pi/2,length.out=100)))
arcEx = posTop + rE*sin(seq(0,pi/2,length.out=100));
arcEy = (limTop + rI) - rE*cos(seq(0,pi/2,length.out=100))
arEdge = max(0.015, rI/3)
arTop = max(0.04, 0.8*frLosses[i])
arX = posTop + rI + c(0,-arEdge,frLosses[i]/2,frLosses[i]+arEdge,frLosses[i])
arY = limTop + rI + c(0,0,arTop,0,0)
if(max(arY)>maxy){maxy = max(arY)}else{maxy=maxy}
limTop = limTop - frLosses[i]
newPos = posTop + rE + 0.01
posTop = newPos
}
newPos = max(posTop, posBot) + max(0.05*limTop,0.05)
newPos = newPos + 0.8*(limTop-limBot)
maxx = newPos
miny = (limTop-frLosses[length(frLosses)])-max(0.015,abs(frLosses[length(frLosses)]/4))
maxy = maxy*2
minx = 0
########################
# Graphics type?
if(format!="plot"){
# Call graphics device
plottype = switch(format,
"pdf" = pdf("Sankey.pdf", width=11, height=min(8.5,11*(maxy-miny)/((maxx+3)-minx))),
"bmp" = bmp("Sankey.bmp", width=800*((maxx+3)-minx)/(maxy-miny), height=800, unit="px",res=144)
)
}
# Create plotting window
par(mar=c(0,0,0,0),oma=c(0,0,0,0))
plot(0,0,type="n",xlim=c(-1.5,maxx+1.5),ylim=c(miny,maxy),xaxt="n",yaxt="n")
w = 1 # line width
# Calculate fractional losses and inputs
frLosses = losses/sum(inputs)
frInputs = inputs/sum(inputs)
# Draw back edge of first input arrow
lines(c(0.1,0,0.05,0,0.4), c(0,0,frInputs[1]/2,frInputs[1],frInputs[1]),lwd=w)
# First input label
inputLabel = paste(labels[1],": ",unit,inputs[1]," (",round(100*frInputs[1],digits=1),"%)",sep="")
fontsize = max(0.8,frInputs[1]*1)
text(0, frInputs[1]/2, inputLabel, cex=fontsize, pos=2) # try pos=4
# Set initial position for the top of the arrows
limTop = frInputs[1]; posTop = 0.4; maxy=0
# set initial position for the bottom of the arrows
limBot = 0; posBot = 0.1
###
# DRAW ARROWS FOR ADDITIONAL INPUTS
if(length(inputs)>1){
for(j in 2:length(inputs)){
# determine inner and outer arrow radii
rI = max(0.07, abs(frInputs[j]/2))
rE = rI + abs(frInputs[j])
# push separation point forwards
newPosB = posBot + rE*sin(pi/4) + 0.01
lines(c(posBot,newPosB), c(limBot,limBot), lwd=w)
posBot = newPosB
# determine points on the external arc
arcEx = posBot - rE*sin(seq(0,pi/4,length.out=100))
arcEy = limBot - rE*(1-cos(seq(0,pi/4,length.out=100)))
# determine points on the internal arc
arcIx = posBot - rI*sin(seq(0,pi/4,length.out=100))
arcIy = limBot - rE + rI*cos(seq(0,pi/4,length.out=100))
# draw internal and external arcs
lines(arcIx, arcIy, lwd=w)
lines(arcEx, arcEy, lwd=w)
# determine arrow point tip
phiTip = pi/4 - 2*min(0.05, 0.8*abs(frInputs[j]))/(rI + rE)
xTip = posBot - (rE+rI)*sin(phiTip)/2
yTip = limBot - rE + (rE+rI)*cos(phiTip)/2
# draw back edge of additional input arrows
lines(c(min(arcEx),xTip,min(arcIx)), c(min(arcEy),yTip,min(arcIy)), lwd=w)
# Draw label
phiText = pi/2-2*min(0.05,0.8*abs(frInputs[j]))/(rI+rE)
xText = posBot-(rE+rI)*sin(phiText)/3
yText = limBot-rE/1.5+(rE+rI)*cos(phiText)/2
fullLabel = paste(labels[j],": ",unit,inputs[j]," (",round(100*frInputs[j],digits=1),"%)",sep="")
fontsize = max(0.8,frInputs[j]*1)
text(xText, yText, fullLabel, cex=fontsize, pos=2)
# save new bottom end of arrow
limBot = limBot - frInputs[j]
}
posTop = posBot + 0.4
lines(c(0.4,posTop), c(frInputs[1],frInputs[1]), lwd=w)
lines(c(posBot,posBot+(posTop-posBot)/2), c(limBot,limBot),lwd=w)
posMid=posBot+(posTop-posBot)/2
}else{
lines(c(posBot,posBot+(posTop-posBot)/2), c(limBot,limBot),lwd=w)
posMid=posBot+(posTop-posBot)/2
}
###
# DRAW ARROWS OF LOSSES
for(i in 1:(length(losses)-1)){
# Determine inner and outer arrow radii
rI = max(0.07, abs(frLosses[i]/2))
rE = rI + abs(frLosses[i])
# Determine points on the internal arc
arcIx = posTop + rI*sin(seq(0,pi/2,length.out=100))
arcIy = limTop + rI*(1 - cos(seq(0,pi/2,length.out=100)))
# Determine points on the internal arc
arcEx = posTop + rE*sin(seq(0,pi/2,length.out=100));
arcEy = (limTop + rI) - rE*cos(seq(0,pi/2,length.out=100))
# Draw internal and external arcs
lines(arcIx, arcIy, lwd=w)
lines(arcEx, arcEy, lwd=w)
# Determine arrow tip dimensions
arEdge = max(0.015, rI/3)
arTop = max(0.04, 0.8*frLosses[i])
# Determine points on arrow tip
arX = posTop + rI + c(0,-arEdge,frLosses[i]/2,frLosses[i]+arEdge,frLosses[i])
arY = limTop + rI + c(0,0,arTop,0,0)
if(max(arY)>maxy){maxy = max(arY)}else{maxy=maxy}
# Draw tip of losses arrow
lines(arX, arY, lwd=w)
# Draw label
txtX = posTop + rI + frLosses[i]/2
txtY = limTop + rI + arTop + 0.05
fullLabel = paste(labels[i+length(inputs)],": ",unit,losses[i]," (",round(100*frLosses[i],digits=1),"%)",sep="")
fontsize = max(0.6,frLosses[i]*1)
text(txtX, txtY, fullLabel, cex=fontsize, pos=4, srt=45, offset=0.1)
# Save new position of arrow top
limTop = limTop - frLosses[i]
# Advance to new separation point
newPos = posTop + rE + 0.01
# Draw top line to new separation point
lines(c(posTop,newPos), c(limTop,limTop), lwd=w)
# Save new advancement point
posTop = newPos
# SEPARATION LINES - not implemented yet
}
###
# Push the arrow forwards a little after all side-arrows drawn
newPos = max(posTop, posBot) + max(0.05*limTop,0.05)
# Draw lines to this new position
lines(c(posTop,newPos), c(limTop,limTop),lwd=w)
lines(c(posMid,newPos), c(limTop-frLosses[length(frLosses)],limTop-frLosses[length(frLosses)]),lwd=w)
# Draw final arrowhead for the output
lines(c(newPos,newPos,newPos+max(0.04,0.8*(frLosses[length(frLosses)])),newPos,newPos), c(limTop,limTop+max(0.015,abs(frLosses[length(frLosses)]/6)),limTop-frLosses[length(frLosses)]/2,(limTop-frLosses[length(frLosses)])-max(0.015,abs(frLosses[length(frLosses)]/6)),(limTop-frLosses[length(frLosses)])), lwd=w)
# Save final tip position
newPos = newPos + 0.8*(frLosses[length(frLosses)])
# Last loss label
lossLabel = paste(labels[length(labels)],": ",unit,losses[length(losses)]," (",round(100*frLosses[length(losses)],digits=1),"%)",sep="")
fontsize = max(0.8,frLosses[length(losses)]*1)
text(newPos+0.05, limTop-frLosses[length(frLosses)]/2, lossLabel, cex=fontsize, pos=4) # try pos=4
# Draw mid-line
if(limBot<(limTop-frLosses[length(frLosses)])){
lines(c(posMid,posMid), c(frInputs[1],limBot),lty=2)
}else{
lines(c(posMid,posMid), c(frInputs[1],limTop-frLosses[length(frLosses)]),lty=2)
}
if(format!="plot"){
# Close graphics device
dev.off()
}
}
epijim/PharmaPlots documentation built on Nov. 4, 2019, 11:54 a.m.
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Defines functions attrition
Documented in attrition
#' Quickly get an attrition plot
#'
#' This function will take raw values. It's based on a stackoverflow post (see raw code).
#' @section Bugs:
#' If you find an issue, post it here and we'll try and fix it: \url{http://go.roche.com/RochePlotissue}
#' @param inputs Numeric vector of n's going in
#' @param losses Numeric vector of n's going out - last is those included
#' @param unit Preface a unit?
#' @param labels Character vector of labels - in order of inputs then losses.
#' @param format The default is "plot," which produces a plot in the R graphics device. Current alternate options include "pdf" and "bmp," which produce those file types under the name "Sankey.xxx" in the current directory.
#' @keywords teradata attrition sankey
#' @export
#' @importFrom magrittr "%>%"
#' @examples
#' attrition(
#' inputs = c(212,304),
#' losses = c(111,134,271),
#' unit = "",
#' labels = c("Medicare","Commercial","No followup","Missing something","Included")
#' )
attrition <- function(
inputs,
losses,
unit,
labels,
format="plot"){
########################
# SankeyR version 1.01 (updated August 10, 2010)
# is a function for creating Sankey Diagrams in R.
# See http://www.sankey-diagrams.com for excellent examples of Sankey Diagrams.
#
# OPTIONS:
# 'inputs' is a vector of input values
# 'losses' is a vector of loss values
# 'unit' is a string of the unit
# 'labels' is a vector of the labels for inputs and losses
# 'format' is the type of plotting:
# The default is "plot," which produces a plot in the R graphics device.
# Current alternate options include "pdf" and "bmp," which produce
# those file types under the name "Sankey.xxx" in the current directory.
#
# Inputs do not need to equal losses. Any difference will be displayed
# as a discrepancy in the height of the left and right sides of the diagram.
# This capability enables the developer to examine imbalances in flows.
# Percentages are a proportion of the inputs (so, the outputs might not equal 100%).
#
# EXAMPLE:
# Try using these values for the global carbon cycle, from Schlesinger (1997):
# inputs = c(120,92)
# losses = c(45,75,90,1,6)
# unit = "GtC/yr"
# labels = c("GPP","Ocean assimilation","Ra","Rh","Ocean loss","LULCC","Fossil fuel emissions")
# SankeyR(inputs,losses,unit,labels)
#
# UPDATES:
# 8/10/10 - Added drawing for only one input.
#
# CREDITS:
# Created for R by Aaron BERDANIER
# send questions or comments to
# aaron.berdanier@gmail.com
#
# SankeyR is based strongly on drawSankey for Matlab,
# from James SPELLING, KTH-EGI-EKV (spelling@kth.se)
# http://leniwiki.epfl.ch/index.php/DrawSankey
#
# Distributed under Creative Commons Attribution Non-Commercial.
# Licensees may copy, distribute, display, and perform the work and make
# derivative works based on it only for noncommercial purposes.
#
# Aaron would appreciate notification if you modify or improve this function.
########################
# Calculate fractional losses and inputs
frLosses = losses/sum(inputs)
frInputs = inputs/sum(inputs)
# First input and last output labels
inputLabel = paste(labels[1],": ",unit,inputs[1]," (",round(100*frInputs[1],digits=1),"%)",sep="")
lossLabel = paste(labels[length(labels)],": ",unit,losses[length(losses)]," (",round(100*frLosses[length(losses)],digits=1),"%)",sep="")
########################
# Calculate position of plot axes (repeat of annotated code below; alternative: save values as vectors...)
limTop = frInputs[1]; posTop = 0.4; maxy=0
limBot = 0; posBot = 0.1
if(length(inputs)>1){
for(j in 2:length(inputs)){
rI = max(0.07, abs(frInputs[j]/2))
rE = rI + abs(frInputs[j])
newPosB = posBot + rE*sin(pi/4) + 0.01
posBot = newPosB
arcEx = posBot - rE*sin(seq(0,pi/4,length.out=100))
arcEy = limBot - rE*(1-cos(seq(0,pi/4,length.out=100)))
arcIx = posBot - rI*sin(seq(0,pi/4,length.out=100))
arcIy = limBot - rE + rI*cos(seq(0,pi/4,length.out=100))
phiTip = pi/4 - 2*min(0.05, 0.8*abs(frInputs[j]))/(rI + rE)
xTip = posBot - (rE+rI)*sin(phiTip)/2
yTip = limBot - rE + (rE+rI)*cos(phiTip)/2
limBot = limBot - frInputs[j]
}
}else{}
posTop = posBot + 0.4
for(i in 1:(length(losses)-1)){
rI = max(0.07, abs(frLosses[i]/2))
rE = rI + abs(frLosses[i])
arcIx = posTop + rI*sin(seq(0,pi/2,length.out=100))
arcIy = limTop + rI*(1 - cos(seq(0,pi/2,length.out=100)))
arcEx = posTop + rE*sin(seq(0,pi/2,length.out=100));
arcEy = (limTop + rI) - rE*cos(seq(0,pi/2,length.out=100))
arEdge = max(0.015, rI/3)
arTop = max(0.04, 0.8*frLosses[i])
arX = posTop + rI + c(0,-arEdge,frLosses[i]/2,frLosses[i]+arEdge,frLosses[i])
arY = limTop + rI + c(0,0,arTop,0,0)
if(max(arY)>maxy){maxy = max(arY)}else{maxy=maxy}
limTop = limTop - frLosses[i]
newPos = posTop + rE + 0.01
posTop = newPos
}
newPos = max(posTop, posBot) + max(0.05*limTop,0.05)
newPos = newPos + 0.8*(limTop-limBot)
maxx = newPos
miny = (limTop-frLosses[length(frLosses)])-max(0.015,abs(frLosses[length(frLosses)]/4))
maxy = maxy*2
minx = 0
########################
# Graphics type?
if(format!="plot"){
# Call graphics device
plottype = switch(format,
"pdf" = pdf("Sankey.pdf", width=11, height=min(8.5,11*(maxy-miny)/((maxx+3)-minx))),
"bmp" = bmp("Sankey.bmp", width=800*((maxx+3)-minx)/(maxy-miny), height=800, unit="px",res=144)
)
}
# Create plotting window
par(mar=c(0,0,0,0),oma=c(0,0,0,0))
plot(0,0,type="n",xlim=c(-1.5,maxx+1.5),ylim=c(miny,maxy),xaxt="n",yaxt="n")
w = 1 # line width
# Calculate fractional losses and inputs
frLosses = losses/sum(inputs)
frInputs = inputs/sum(inputs)
# Draw back edge of first input arrow
lines(c(0.1,0,0.05,0,0.4), c(0,0,frInputs[1]/2,frInputs[1],frInputs[1]),lwd=w)
# First input label
inputLabel = paste(labels[1],": ",unit,inputs[1]," (",round(100*frInputs[1],digits=1),"%)",sep="")
fontsize = max(0.8,frInputs[1]*1)
text(0, frInputs[1]/2, inputLabel, cex=fontsize, pos=2) # try pos=4
# Set initial position for the top of the arrows
limTop = frInputs[1]; posTop = 0.4; maxy=0
# set initial position for the bottom of the arrows
limBot = 0; posBot = 0.1
###
# DRAW ARROWS FOR ADDITIONAL INPUTS
if(length(inputs)>1){
for(j in 2:length(inputs)){
# determine inner and outer arrow radii
rI = max(0.07, abs(frInputs[j]/2))
rE = rI + abs(frInputs[j])
# push separation point forwards
newPosB = posBot + rE*sin(pi/4) + 0.01
lines(c(posBot,newPosB), c(limBot,limBot), lwd=w)
posBot = newPosB
# determine points on the external arc
arcEx = posBot - rE*sin(seq(0,pi/4,length.out=100))
arcEy = limBot - rE*(1-cos(seq(0,pi/4,length.out=100)))
# determine points on the internal arc
arcIx = posBot - rI*sin(seq(0,pi/4,length.out=100))
arcIy = limBot - rE + rI*cos(seq(0,pi/4,length.out=100))
# draw internal and external arcs
lines(arcIx, arcIy, lwd=w)
lines(arcEx, arcEy, lwd=w)
# determine arrow point tip
phiTip = pi/4 - 2*min(0.05, 0.8*abs(frInputs[j]))/(rI + rE)
xTip = posBot - (rE+rI)*sin(phiTip)/2
yTip = limBot - rE + (rE+rI)*cos(phiTip)/2
# draw back edge of additional input arrows
lines(c(min(arcEx),xTip,min(arcIx)), c(min(arcEy),yTip,min(arcIy)), lwd=w)
# Draw label
phiText = pi/2-2*min(0.05,0.8*abs(frInputs[j]))/(rI+rE)
xText = posBot-(rE+rI)*sin(phiText)/3
yText = limBot-rE/1.5+(rE+rI)*cos(phiText)/2
fullLabel = paste(labels[j],": ",unit,inputs[j]," (",round(100*frInputs[j],digits=1),"%)",sep="")
fontsize = max(0.8,frInputs[j]*1)
text(xText, yText, fullLabel, cex=fontsize, pos=2)
# save new bottom end of arrow
limBot = limBot - frInputs[j]
}
posTop = posBot + 0.4
lines(c(0.4,posTop), c(frInputs[1],frInputs[1]), lwd=w)
lines(c(posBot,posBot+(posTop-posBot)/2), c(limBot,limBot),lwd=w)
posMid=posBot+(posTop-posBot)/2
}else{
lines(c(posBot,posBot+(posTop-posBot)/2), c(limBot,limBot),lwd=w)
posMid=posBot+(posTop-posBot)/2
}
###
# DRAW ARROWS OF LOSSES
for(i in 1:(length(losses)-1)){
# Determine inner and outer arrow radii
rI = max(0.07, abs(frLosses[i]/2))
rE = rI + abs(frLosses[i])
# Determine points on the internal arc
arcIx = posTop + rI*sin(seq(0,pi/2,length.out=100))
arcIy = limTop + rI*(1 - cos(seq(0,pi/2,length.out=100)))
# Determine points on the internal arc
arcEx = posTop + rE*sin(seq(0,pi/2,length.out=100));
arcEy = (limTop + rI) - rE*cos(seq(0,pi/2,length.out=100))
# Draw internal and external arcs
lines(arcIx, arcIy, lwd=w)
lines(arcEx, arcEy, lwd=w)
# Determine arrow tip dimensions
arEdge = max(0.015, rI/3)
arTop = max(0.04, 0.8*frLosses[i])
# Determine points on arrow tip
arX = posTop + rI + c(0,-arEdge,frLosses[i]/2,frLosses[i]+arEdge,frLosses[i])
arY = limTop + rI + c(0,0,arTop,0,0)
if(max(arY)>maxy){maxy = max(arY)}else{maxy=maxy}
# Draw tip of losses arrow
lines(arX, arY, lwd=w)
# Draw label
txtX = posTop + rI + frLosses[i]/2
txtY = limTop + rI + arTop + 0.05
fullLabel = paste(labels[i+length(inputs)],": ",unit,losses[i]," (",round(100*frLosses[i],digits=1),"%)",sep="")
fontsize = max(0.6,frLosses[i]*1)
text(txtX, txtY, fullLabel, cex=fontsize, pos=4, srt=45, offset=0.1)
# Save new position of arrow top
limTop = limTop - frLosses[i]
# Advance to new separation point
newPos = posTop + rE + 0.01
# Draw top line to new separation point
lines(c(posTop,newPos), c(limTop,limTop), lwd=w)
# Save new advancement point
posTop = newPos
# SEPARATION LINES - not implemented yet
}
###
# Push the arrow forwards a little after all side-arrows drawn
newPos = max(posTop, posBot) + max(0.05*limTop,0.05)
# Draw lines to this new position
lines(c(posTop,newPos), c(limTop,limTop),lwd=w)
lines(c(posMid,newPos), c(limTop-frLosses[length(frLosses)],limTop-frLosses[length(frLosses)]),lwd=w)
# Draw final arrowhead for the output
lines(c(newPos,newPos,newPos+max(0.04,0.8*(frLosses[length(frLosses)])),newPos,newPos), c(limTop,limTop+max(0.015,abs(frLosses[length(frLosses)]/6)),limTop-frLosses[length(frLosses)]/2,(limTop-frLosses[length(frLosses)])-max(0.015,abs(frLosses[length(frLosses)]/6)),(limTop-frLosses[length(frLosses)])), lwd=w)
# Save final tip position
newPos = newPos + 0.8*(frLosses[length(frLosses)])
# Last loss label
lossLabel = paste(labels[length(labels)],": ",unit,losses[length(losses)]," (",round(100*frLosses[length(losses)],digits=1),"%)",sep="")
fontsize = max(0.8,frLosses[length(losses)]*1)
text(newPos+0.05, limTop-frLosses[length(frLosses)]/2, lossLabel, cex=fontsize, pos=4) # try pos=4
# Draw mid-line
if(limBot<(limTop-frLosses[length(frLosses)])){
lines(c(posMid,posMid), c(frInputs[1],limBot),lty=2)
}else{
lines(c(posMid,posMid), c(frInputs[1],limTop-frLosses[length(frLosses)]),lty=2)
}
if(format!="plot"){
# Close graphics device
dev.off()
}
}
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