443 lines
12 KiB
R
443 lines
12 KiB
R
# Plotting
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## install.packages("tidyverse") <- Not totally necessary.
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## install.packages("ggplot2")
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## install.packages("ggsci")
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library(ggplot2)
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library(ggsci)
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## General variables
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saveplots=TRUE
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times = times_forward_shooting
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## Also for reverse shooting plots; time in reverse shooting is inverted
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shootingtype="reverse"#"forward"#
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shootingtype="forward"#"reverse"#
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# directory = "/home/nuno/Documents/core/SRF/BackShooting/RCode/plots/temp"
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workingdir = "/home/<user>/Documents/<path>" # Write your own
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# directory = paste(workingdir, shootingtype, "shooting", "/", last, "years", sep="")
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# directory
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setwd(workingdir)
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# setwd(directory)
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if(shootingtype=="forward"){
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x1_array_plotting <- x1_array_forward_shooting
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x3_array_plotting <- x3_array_forward_shooting
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a1_array_plotting <- a1_array_forward_shooting
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a3_array_plotting <- a3_array_forward_shooting
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s1_array_plotting <- s1_array_forward_shooting
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s3_array_plotting <- s3_array_forward_shooting
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} else if(shootingtype=="reverse"){
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x1_array_plotting <- x1_array_reverse_shooting
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x3_array_plotting <- x3_array_reverse_shooting
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a1_array_plotting <- a1_array_reverse_shooting
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a3_array_plotting <- a3_array_reverse_shooting
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s1_array_plotting <- s1_array_reverse_shooting
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s3_array_plotting <- s3_array_reverse_shooting
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}
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height = 5
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width = floor(height*(1+sqrt(5))/2)
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imagenumbercounter = 1
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saveplot = function(imagename){
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if(saveplots){
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ggsave(paste(imagenumbercounter,"_", imagename, "_",shootingtype, "shooting",".png", sep =""), units="in", width=width, height=height)
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imagenumbercounter <<- imagenumbercounter+1
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## https://stackoverflow.com/questions/1236620/global-variables-in-r
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}
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}
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options(digits=1) ## Just for display
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## x1 and x3
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xs <- list()
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xs$values <- c(x1_array_plotting, x3_array_plotting)
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xs$var <- c(rep("x1", length(x1_array_plotting)), rep("x3", length(x3_array_plotting)))
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xs$times = rep(times,2)
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xs <- as.data.frame(xs)
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title_text = "Evolution of state variables"
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(ggplot(data = xs, aes(x = times, y= values, color = var)) +
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geom_line(size = 0.5)
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+ labs(
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title=title_text,
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x="Year since start",
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y="Capital and labor"
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)
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+theme(
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legend.title = element_blank(),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom",
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legend.box="vertical"
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)
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+ scale_color_lancet(
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breaks=c("x1", "x3"),
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labels=c("Capital", "Labor")
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)
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+ scale_y_continuous(breaks = seq(min(x1_array_plotting), max(x1_array_plotting), length.out=5)) ## Necessary for displaying very large numbers
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)
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saveplot("StateVariablesX1X3")
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## x1 and x3: log plot
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title_text = "Evolution of state variables"
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(ggplot(data = xs, aes(x = times, y= values, color = var)) +
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geom_line(size = 0.5)
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+labs(
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title=title_text,
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subtitle="(logarithmic scale)",
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x="Year since start",
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y="Capital and labor"
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)
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+theme(
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legend.title = element_blank(),
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plot.title = element_text(hjust = 0.5),
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plot.subtitle = element_text(hjust = 0.5),
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legend.position="bottom",
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legend.box="vertical"
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)
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+ scale_color_lancet(
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breaks=c("x1", "x3"),
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labels=c("Capital", "Labor")
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)
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+ scale_y_continuous(trans = 'log2')
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)
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saveplot("StateVariablesX1X3logplot")
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## Only x3
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equis3 <- list()
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equis3$values <- c(x3_array_plotting)
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equis3$times = times
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equis3 <- as.data.frame(equis3)
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title_text = "Evolution of movement size"
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(ggplot(data = equis3, aes(x = times, y= values))
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+geom_line(size = 0.5)
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+labs(
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title=title_text,
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x="Year since start",
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y="Labor"
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)
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+theme(
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legend.title = element_blank(),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom",
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legend.box="vertical"
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)
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)
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saveplot("StateVariableX3")
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## s1, s3, s4
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sigmas <- list()
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s4_array_plotting=1-s1_array_plotting-s3_array_plotting
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sigmas$values <- c(s1_array_plotting, s3_array_plotting,s4_array_plotting)
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sigmas$fraction <- c(rep("s1", length(s1_array_plotting)), rep("s3", length(s3_array_plotting)),rep("s4", length(s3_array_plotting)))
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sigmas$times = rep(times,3)
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sigmas <- as.data.frame(sigmas)
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title_text = "Evolution of labor fractions"
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(ggplot(data = sigmas, aes(x = times, y= values, color = fraction)) +
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geom_line(size = 0.5)
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+labs(
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title=title_text,
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x="Year since start",
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y="Fraction of total labor"
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)
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+theme(
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legend.title = element_blank(),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom",
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legend.direction="vertical"
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)
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+ scale_color_lancet(
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breaks=c("s1", "s3", "s4"),
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labels=c("Direct work", "Movement building", "Money-making")
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)
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)
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saveplot("MovementFractions")
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## s1 and s3
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sigmas <- list()
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sigmas$values <- c(s1_array_plotting, s3_array_plotting)
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sigmas$fraction <- c(rep("s1", length(s1_array_plotting)), rep("s3", length(s3_array_plotting)))
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sigmas$times = rep(times,2)
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sigmas <- as.data.frame(sigmas)
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title_text = "Evolution of labor fractions"
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subtitle_text = "(only direct work and movement building)"
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(ggplot(data = sigmas, aes(x = times, y= values, color = fraction)) +
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geom_line(size = 0.5)
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+labs(
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title=title_text,
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subtitle=subtitle_text,
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x="Year since start",
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y="Fraction of total labor"
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)
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+theme(
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legend.title = element_blank(),
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plot.subtitle = element_text(hjust = 0.5),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom",
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legend.direction="vertical"
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)
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+ scale_color_lancet(
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breaks=c("s1", "s3"),
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labels=c("Direct work", "Movement building")
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)
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)
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saveplot("MovementFractionsS1S3")
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## Just direct work.
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sigma1 <- list()
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sigma1$values <- c(s1_array_plotting)
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sigma1$times = times
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sigma1 <- as.data.frame(sigma1)
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title_text = "Evolution of direct work \nas a fraction of total labor"
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(ggplot(data = sigma1, aes(x = times, y= values))
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+geom_line(size = 0.5)
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+labs(
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title=title_text,
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x="Year since start",
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y="Fraction of total labor"
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)
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+theme(
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legend.title = element_blank(),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom",
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legend.box="vertical"
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)
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)
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saveplot("MovementFractionsS1")
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## Just movement building
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sigma3 <- list()
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sigma3$values <- c(s3_array_plotting)
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sigma3$times = times
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sigma3 <- as.data.frame(sigma3)
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title_text = "Evolution of movement building\nas a fraction of total labor"
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(ggplot(data = sigma3, aes(x = times, y= values))
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+geom_line(size = 0.5)
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+labs(
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title=title_text,
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x="Year since start",
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y="Fraction of labor"
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)
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+theme(
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legend.title = element_blank(),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom",
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legend.box="vertical"
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)
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)
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saveplot("MovementFractionsS3")
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## Just direct work - logplot
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sigma1 <- list()
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sigma1$values <- c(s1_array_plotting)
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sigma1$times = times
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sigma1 <- as.data.frame(sigma1)
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title_text = "Evolution of direct work \nas a fraction of labor"
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(ggplot(data = sigma1, aes(x = times, y= values))
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+geom_line(size = 0.5)
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+labs(
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title=title_text,
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subtitle="(logarithmic scale)",
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x="Year since start",
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y="Fraction of labor"
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)
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+theme(
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legend.title = element_blank(),
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plot.subtitle = element_text(hjust = 0.5),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom",
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legend.box="vertical"
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)
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+ scale_y_continuous(trans = 'log2')
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)
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saveplot("MovementFractionsS1logplot")
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## Just movement building
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sigma3 <- list()
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sigma3$values <- c(s3_array_plotting)
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sigma3$times = times
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sigma3 <- as.data.frame(sigma3)
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title_text = "Evolution of movement building\nas a fraction of labor"
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(ggplot(data = sigma3, aes(x = times, y= values))
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+geom_line(size = 0.5)
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+labs(
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title=title_text,
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subtitle="(logarithmic scale)",
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x="Year since start",
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y="Fraction of total labor"
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)
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+theme(
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legend.title = element_blank(),
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plot.subtitle = element_text(hjust = 0.5),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom",
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legend.box="vertical"
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)
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+ scale_y_continuous(trans = 'log2')
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)
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saveplot("MovementFractionsS3logplot")
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## sigma_1*x3 and sigma3*x3, sigma_4*x3,
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sigmaxs <- list()
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sigmaxs$values <- c(s1_array_plotting*x3_array_plotting, s3_array_plotting*x3_array_plotting, s4_array_plotting*x3_array_plotting)
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sigmaxs$fraction <- c(rep("s1x3", length(s1_array_plotting)), rep("s3x3", length(s3_array_plotting)), rep("s4x3", length(s3_array_plotting)))
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sigmaxs$times = rep(times,3)
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sigmaxs <- as.data.frame(sigmaxs)
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title_text = "Evolution of labor\n in absolute terms"
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(ggplot(data = sigmaxs, aes(x = times, y= values, color = fraction)) +
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geom_line(size = 0.5)
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+labs(
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title=title_text,
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x="Year since start",
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y="Absolute number\nof movement participants"
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)
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+theme(
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legend.title = element_blank(),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom",
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legend.direction="vertical"
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)
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+ scale_color_lancet(
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breaks=c("s1x3", "s3x3", "s4x3"),
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labels=c("Direct work", "Movement building", "Money-making")
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)
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)
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saveplot("MovementParticipantNumbersS1S3S4")
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## sigma_1*x3 and sigma3*x3
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sigmaxs <- list()
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sigmaxs$values <- c(s1_array_plotting*x3_array_plotting, s3_array_plotting*x3_array_plotting)
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sigmaxs$fraction <- c(rep("s1x3", length(s1_array_plotting)), rep("s3x3", length(s3_array_plotting)))
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sigmaxs$times = rep(times,2)
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sigmaxs <- as.data.frame(sigmaxs)
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title_text = "Evolution of movement participants\nin absolute terms"
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(ggplot(data = sigmaxs, aes(x = times, y= values, color = fraction)) +
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geom_line(size = 0.5)
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+labs(
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title=title_text,
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subtitle="(only direct workers and movement builders)",
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x="Year since start",
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y="Absolute number\nof movement participants"
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)
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+theme(
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legend.title = element_blank(),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom",
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legend.direction="vertical"
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)
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+ scale_color_lancet(
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breaks=c("s1x3", "s3x3"),
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labels=c("Direct work", "Movement building")
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)
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)
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saveplot("MovementParticipantNumbersS1S3")
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## sigma_1*x3 and sigma3*x3 logplot
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sigmaxs <- list()
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sigmaxs$values <- c(s1_array_plotting*x3_array_plotting, s3_array_plotting*x3_array_plotting)
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sigmaxs$fraction <- c(rep("s1x3", length(s1_array_plotting)), rep("s3x3", length(s3_array_plotting)))
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sigmaxs$times = rep(times,2)
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sigmaxs <- as.data.frame(sigmaxs)
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title_text = "Evolution of movement participants\nin absolute terms \n(logarithmic scale)"
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(ggplot(data = sigmaxs, aes(x = times, y= values, color = fraction)) +
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geom_line(size = 0.5)
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+labs(
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title=title_text,
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subtitle="(only direct workers and movement builders)",
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x="Year since start",
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y="Absolute number\nof movement participants"
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)
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+theme(
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legend.title = element_blank(),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom",
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legend.direction="vertical"
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)
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+ scale_color_lancet(
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breaks=c("s1x3", "s3x3"),
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labels=c("Direct work", "Movement building")
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)
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+ scale_y_continuous(trans = 'log2')
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)
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saveplot("MovementParticipantNumbersS1S3logplot")
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## alpha1 and alpha3
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alphas <- list()
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alphas$values <- c(a1_array_plotting, a3_array_plotting)
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alphas$fraction <- c(rep("a1", length(s1_array_plotting)), rep("a2", length(s3_array_plotting)))
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alphas$times = rep(times,2)
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alphas <- as.data.frame(alphas)
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title_text = "Evolution of spending"
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(ggplot(data = alphas, aes(x = times, y= values, color = fraction)) +
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geom_line(size = 0.5)
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+labs(
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title=title_text,
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x="Year since start",
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y="Spending"
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)
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+theme(
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legend.title = element_blank(),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom",
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legend.direction="vertical"
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)
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+ scale_color_lancet(
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breaks=c("a1", "a2"),
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labels=c("Direct spending","Spending on movement building")
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)
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)
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saveplot("SpendingA1A3")
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## alpha1 and alpha3: log plot
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alphas <- list()
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alphas$values <- c(a1_array_plotting, a3_array_plotting)
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alphas$fraction <- c(rep("a1", length(s1_array_plotting)), rep("a2", length(s3_array_plotting)))
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alphas$times = rep(times,2)
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alphas <- as.data.frame(alphas)
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title_text = "Evolution of spending"
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(ggplot(data = alphas, aes(x = times, y= values, color = fraction)) +
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geom_line(size = 0.5)
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+labs(
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title=title_text,
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subtitle="(logarithmic scale)",
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x="Year since start",
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y="Spending"
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)
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+theme(
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legend.title = element_blank(),
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plot.title = element_text(hjust = 0.5),
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plot.subtitle = element_text(hjust = 0.5),
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legend.position="bottom",
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legend.direction="vertical"
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)
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+ scale_color_lancet(
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breaks=c("a1", "a2"),
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labels=c("Direct spending","Spending on movement building")
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)
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+ scale_y_continuous(trans = 'log2')
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)
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saveplot("SpendingA1A3logplot")
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