#' Chen 2
#'
#' Generate a plot for chen Figure 2
#' @export
#' @return a list of plots
#' @import ggplot2
#' @import dplyr
#' @import scales
#' @import Hmisc
sfi_plot_chen_2 <- function(){
# # no scientific notation
# options(scipen = '999')
#
# # get data
data <- all_data$chen$f2
# version 11
g1 <- ggplot(data,
aes(x = x,
y = y)) +
ylim(c(-7, 18)) +
geom_text(aes(label = `decade-s`),
size = 2,
alpha = 0.6,
color = 'black') +
labs(x = 'X',
y = 'Y',
title = 'Figure 2.',
subtitle = 'Centered by Court Topic, Averaged by Court-Year, Labeled by Decade',
caption = 'Court Decade, SC & CC Court Decade Vector, Demeaned by Circuit and Big Topic') +
theme_sfi(lp = 'none',
y_axis_title_style = 'bold',
x_axis_title_style = 'bold',
title_style = 'bold')
#
# version 11
g2 <- ggplot(data,
aes(x = x,
y = y)) +
geom_text(aes(label = `decade-s`),
size = 2,
alpha = 0.6,
color = 'black') +
stat_ellipse(aes(x, y,color= `decade-s`),type = "norm", size = 0.3, linetype = 'dashed', alpha = 0.7) +
scale_color_manual(name = 'Confidence elipse',
values = c('#0D0D0D','#0D0D0D', '#0D0D0D','#0D0D0D','#0D0D0D','#0D0D0D',
'#0D0D0D','#0D0D0D','#0D0D0D','#0D0D0D','#0D0D0D','#0D0D0D','#0D0D0D')) +
labs(x = 'X',
y = 'Y',
title = 'Figure 2.',
subtitle = 'Centered by Court Topic, Averaged by Court-Year, Labeled by Decade',
caption = 'Court Decade, SC & CC Court Decade Vector, Demeaned by Circuit and Big Topic') +
theme_sfi(lp = 'none',
y_axis_title_style = 'bold',
x_axis_title_style = 'bold',
title_style = 'bold')
return(list(g1, g2))
}
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