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## The psre package must be installed first.
## You can do this with the following code
# install.packages("remotes")
# remotes::install_github('davidaarmstrong/psre')
## load packages
library(tidyverse)
library(psre)
library(factorplot)
## load data from psre package
data(repress)
## replace pr as NA if pr < 0
repress$pr <- ifelse(repress$pr < 0, NA, repress$pr)
## rescale pr to (0,1)
repress$pr <- repress$pr/100
## create transformed variables and turn binary
## variables into factors
repress <- repress %>% mutate(log_gdp = log(rgdpe),
logpop = log(pop),
pts_fac = as.factor(pts_s),
cwar = as.factor(cwar),
iwar = as.factor(iwar)) %>%
dplyr::select(pr, cwar, iwar, rgdpe, pop, log_gdp, logpop, pts_s, pts_fac) %>%
na.omit()
## make piecewise linear basis functions
BL <- function(x,c=.34)ifelse(x < c, c-x, 0)
BR <- function(x,c=.34)ifelse(x > c, x-c, 0)
## estimate multinomial logit model
mrm <-nnet::multinom(pts_fac ~ BL(pr, .34) + BR(pr, .34) + cwar + iwar +
log(rgdpe) + log(pop), data=repress)
## get coefficients and variance-covariance matrix from
## multinomial logit model
b <- coef(mrm)
V <- vcov(mrm)
## turn coefficients into vector from matrix
b <- c(t(b))
## draw 1000 values of coefficients from the appropriate
## random multivariate normal distribution
B <- MASS::mvrnorm(1000, b, V)
## generate labels appropriate for plotting
cbn <- str_split(colnames(B), pattern = ":", simplify = TRUE)
cbn <- as.data.frame(cbn)
cbn$obs <- 1:nrow(cbn)
## reorganize labels for printing
cbn <- cbn %>% arrange(V2, V1)
## reorganize B values according to the
## reorganization of the labels
B <- B[,cbn$obs]
## generate the factorplot data
fp <- factorplot:::factorplot.sims(B)
## organize the factorplot data both p-values
## and differences
fpd <- data.frame(
pval = c(fp$pval),
sign = sign(c(fp$b.diff)),
rowvar = rep(1:nrow(fp$pval), ncol(fp$pval)),
colvar = rep(2:(ncol(fp$pval)+1), each = nrow(fp$pval))
)
## map labels onto the factorplot data
fpd <- na.omit(fpd)
fpd$rvn <- factor(fpd$rowvar, levels=1:28, labels=colnames(B))
fpd$cvn <- factor(fpd$colvar, levels=1:28, labels=colnames(B))
## identify which values are significant
fpd <- fpd %>%
mutate(sign_sig = case_when(
pval < .05 & sign == 1 ~ 1,
pval >= .05 ~ 3,
pval < .05 & sign == -1 ~ 2
),
sign_sig = factor(sign_sig, levels=1:3, labels=c("+", "-", "Insignificant")))
## make plot
ggplot(fpd) +
geom_tile(aes(x=colvar, y=rowvar,
fill=sign_sig), col="white") +
scale_alpha_manual(values=c(1,.2)) +
scale_fill_manual(values=c("gray25", "gray50", "gray80")) +
geom_hline(yintercept = 4.5 + c(0,4,8,12,16,20), linetype=3, col="gray50") +
geom_vline(xintercept = 4.5 + c(0,4,8,12,16,20), linetype=3, col="gray50") +
theme_classic() +
scale_x_continuous(breaks=2:28, labels=c(3:5, rep(2:5, 6))) +
scale_y_continuous(breaks=1:27, labels=c(rep(2:5, 6), 2:4)) +
theme(axis.text.x = element_text(size = 8),
axis.text.y = element_text(size = 8),
legend.position = "top",
plot.margin = margin(0,0,.05,.375, unit="npc")) +
coord_cartesian(clip='off') +
labs(x="", y="", fill="") +
annotation_custom(grob = grid::linesGrob(),
xmin = -1.65,
xmax = -1.65,
ymin = .5,
ymax = 4.25) +
annotation_custom(grob = grid::linesGrob(),
xmin = -1.65,
xmax = -1.65,
ymin = 4.75,
ymax = 8.25) +
annotation_custom(grob = grid::linesGrob(),
xmin = -1.65,
xmax = -1.65,
ymin = 8.75,
ymax = 12.25)+
annotation_custom(grob = grid::linesGrob(),
xmin = -1.65,
xmax = -1.65,
ymin = 12.75,
ymax = 16.25) +
annotation_custom(grob = grid::linesGrob(),
xmin = -1.65,
xmax = -1.65,
ymin = 16.75,
ymax = 20.25) +
annotation_custom(grob = grid::linesGrob(),
xmin = -1.65,
xmax = -1.65,
ymin = 20.75,
ymax = 24.25) +
annotation_custom(grob = grid::linesGrob(),
xmin = -1.65,
xmax = -1.65,
ymin = 24.75,
ymax = 27.25) +
annotation_custom(grob = grid::textGrob(label = "(A) Intercept",
gp = grid::gpar(cex = 1)),
xmin = -5.5-2.5,
xmax = -5.5-2.5,
ymin = 2.375,
ymax= 2.375) +
annotation_custom(grob = grid::textGrob(label = "(B) BL(Political Rights)",
gp = grid::gpar(cex = 1)),
xmin = -9.5-2.5,
xmax = -9.5-2.5,
ymin = 6.5,
ymax= 6.5) +
annotation_custom(grob = grid::textGrob(label = "(C) BR(Political Rights)",
gp = grid::gpar(cex = 1)),
xmin = -9.5-2.5,
xmax = -9.5-2.5,
ymin = 10.5,
ymax= 10.5) +
annotation_custom(grob = grid::textGrob(label = "(D) Civil War",
gp = grid::gpar(cex = 1)),
xmin = -5.5-2.5,
xmax = -5.5-2.5,
ymin = 14.5,
ymax= 14.5) +
annotation_custom(grob = grid::textGrob(label = "(E) Interstate War",
gp = grid::gpar(cex = 1)),
xmin = -7.5-2.5,
xmax = -7.5-2.5,
ymin = 18.5,
ymax= 18.5) +
annotation_custom(grob = grid::textGrob(label = "(F) Population (log)",
gp = grid::gpar(cex = 1)),
xmin = -8-2.5,
xmax = -8-2.5,
ymin = 22.5,
ymax= 22.5) +
annotation_custom(grob = grid::textGrob(label = "(G) GDP (log)",
gp = grid::gpar(cex = 1)),
xmin = -5.75-2.5,
xmax = -5.75-2.5,
ymin = 26,
ymax= 26) +
annotation_custom(grob = grid::linesGrob(),
ymin = -2.5,
ymax = -2.5,
xmin = 1.5,
xmax = 4.25) +
annotation_custom(grob = grid::linesGrob(),
ymin = -2.5,
ymax = -2.5,
xmin = 4.75,
xmax = 8.25) +
annotation_custom(grob = grid::linesGrob(),
ymin = -2.5,
ymax = -2.5,
xmin = 8.75,
xmax = 12.25) +
annotation_custom(grob = grid::linesGrob(),
ymin = -2.5,
ymax = -2.5,
xmin = 12.75,
xmax = 16.25) +
annotation_custom(grob = grid::linesGrob(),
ymin = -2.5,
ymax = -2.5,
xmin = 16.5,
xmax = 20.25) +
annotation_custom(grob = grid::linesGrob(),
ymin = -2.5,
ymax = -2.5,
xmin = 20.75,
xmax = 24.25) +
annotation_custom(grob = grid::linesGrob(),
ymin = -2.5,
ymax = -2.5,
xmin = 24.75,
xmax = 28.25) +
annotation_custom(grob = grid::textGrob(label = "(A)",
gp = grid::gpar(cex = .8)),
xmin = 3,
xmax = 3,
ymin = -3.55,
ymax= -3.55)+
annotation_custom(grob = grid::textGrob(label = "(B)",
gp = grid::gpar(cex = .8)),
xmin = 6.5,
xmax = 6.5,
ymin = -3.55,
ymax= -3.55) +
annotation_custom(grob = grid::textGrob(label = "(C)",
gp = grid::gpar(cex = .8)),
xmin = 10.5,
xmax = 10.5,
ymin = -3.55,
ymax= -3.55) +
annotation_custom(grob = grid::textGrob(label = "(D)",
gp = grid::gpar(cex = .8)),
xmin = 14.5,
xmax = 14.5,
ymin = -3.55,
ymax= -3.55) +
annotation_custom(grob = grid::textGrob(label = "(E)",
gp = grid::gpar(cex = .8)),
xmin = 18.5,
xmax = 18.5,
ymin = -3.55,
ymax= -3.55) +
annotation_custom(grob = grid::textGrob(label = "(F)",
gp = grid::gpar(cex = .8)),
xmin = 22.5,
xmax = 22.5,
ymin = -3.55,
ymax= -3.55) +
annotation_custom(grob = grid::textGrob(label = "(G)",
gp = grid::gpar(cex = .8)),
xmin = 26.5,
xmax = 26.5,
ymin = -3.55,
ymax= -3.55)
# ggssave("output/f11_13.png", height=4.5, width=4.5, units="in", dpi=300)
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