R/plot_ppsd.R
In Martindelosrios/pratto: ROGER
Defines functions
espejo
plot_ppsd
Documented in
plot_ppsd
#' A function to plot the projection phase space distribution.
#'
#' This function allows you to plot the projection phase space distribution of a
#' dataset.
#' @param cl, bs, ing, rin, int: Data frames with the cluster galaxies (cl),
#' backsplash galaxies (bs), infalling galaxies (ing),
#' recent infalling galaxies (rin) and interlooper galaxies (int)
#' of the catalog that will be plotted.
#' It should have as columns the
#' distance to the cluster center normalized to the virial radius of each
#' cluster ('r') and the line-of-sight velocity relative to the cluster
#' normalized to the line-of-sight velocity of the cluster ('v').
#' @param cl0, bs0, ing0, rin0, int0: Data frames with the cluster galaxies (cl),
#' backsplash galaxies (bs), infalling galaxies (ing),
#' recent infalling galaxies (rin) and interlooper galaxies (int)
#' of the reference catalog that will be plotted.
#' It should have as columns the
#' distance to the cluster center normalized to the virial radius of each
#' cluster ('r') and the line-of-sight velocity relative to the cluster
#' normalized to the line-of-sight velocity of the cluster ('v').
#' @param dens: Flag indicating if the density should be plotted. Default = TRUE.
#' @param reference: Flag indicating is the properties of the reference catalog should be plotted.
#' Default = FALSE.
#' @export
#' @examples
#' plot_ppsd(cl, bs, ing, rin, int)
plot_ppsd <- function(cl, bs, ing, rin, int, dens = TRUE, cl0 = cl_gal0, bs0 = bs_gal0, ing0 = in_gal0, rin0 = rin_gal0, int0 = int_gal0, reference = FALSE, hist_bins_x = 25, hist_bins_y = 20, geom = 'line'){
c1 <- rgb(185/255, 18/255, 40/255,1) #b91228
# backsplash
c2 <- rgb(255/255,133/255,27/255,1) #ff851b
# infall
c3 <- rgb(95/255, 75/255, 139/255,1) #5f4b8b
# recent infallers
c4 <- rgb(61/255, 153/255, 112/255,1) #3d9970
# interloopers
c5 <- '#808080'
cl <- espejo(cl)
bs <- espejo(bs)
ing <- espejo(ing)
rin <- espejo(rin)
int <- espejo(int)
if(reference == TRUE){
cl0 <- espejo(cl0)
bs0 <- espejo(bs0)
ing0 <- espejo(ing0)
rin0 <- espejo(rin0)
int0 <- espejo(int0)
}
p0 <- ggplot(data = cl, aes(r, v)) +
theme_bw() +
theme(text = element_text(family = "serif"),
axis.text.x = element_text(size=10),
axis.text.y = element_text(size=10))
if(dens == TRUE){
p <- p0+
#scale_x_continuous(limits = c(0, 3), breaks = seq(0, 3, 0.5)) +
#scale_y_continuous(limits = c(0, 3), breaks = seq(0, 3, 0.5)) +
labs(x = TeX('R_{proj}/R_{200}'),
y = TeX('|$\\Delta$V_{los}|/$\\sigma$')) +
geom_point(data = int,aes(r,v),shape=19,size=0.2,color=c5, alpha = 0.5) +
geom_density_2d(data = ing, aes(x = r, y = v, colour = ..level..), lwd = 1, bins = 6) +
scale_colour_gradient(low = rgb(1,1,1,0.0), high = c3)+
new_scale_fill()+
geom_density_2d_filled(data = ing, aes(x = r, y = v, alpha = ..level.., fill = ..level..), lwd = 1, bins = 6) +
scale_fill_manual(values = c('#ffffff','#dfdbe7','#bfb7d0','#9f93b9','#7f6fa2','#5f4b8b'))+
new_scale_colour()+
geom_density_2d(data = bs, aes(x = r, y = v, colour = ..level..), lwd = 1, bins = 6) +
scale_colour_gradient(low = rgb(1,1,1,0.0), high = c2)+
new_scale_fill()+
geom_density_2d_filled(data = bs, aes(x = r , y = v, alpha = ..level.., fill = ..level..), lwd = 1, bins = 6) +
scale_fill_manual(values = c('#ffffff','#ffe6d1','#ffcea3','#ffb576','#ff9d48','#ff851b'))+
new_scale_colour()+
geom_density_2d(data = rin, aes(x = r, y = v, colour = ..level..), lwd = 1, bins = 6) +
scale_colour_gradient(low = rgb(1,1,1,0.0), high = c4)+
new_scale_fill()+
geom_density_2d_filled(data = rin, aes(x = r, y = v, alpha = ..level.., fill = ..level..), lwd = 1, bins = 6)+
scale_fill_manual(values = c('#ffffff','#d8eae3','#b1d6c8','#8ac1ac','#63ad91','#3d9976'))+
new_scale_colour()+
geom_density_2d(data = cl, aes(x = r, y = v, colour = ..level..), lwd = 1, bins = 6) +
scale_colour_gradient(low = rgb(1,1,1,0.0), high = c1)+
new_scale_fill()+
geom_density_2d_filled(data = cl, aes(x = r , y = v, alpha = ..level.., fill = ..level..), lwd = 1, bins = 6) +
#scale_fill_manual(values = c('#ffffff','#f1cfd4','#e3a0a9','#d5707e','#c74153','#b91228'))+
scale_fill_manual(values = c(
"#ffffff", "#f1cfd4", "#e3a0a9", "#d5707e", "#c74153", "#b91228",
"#ffffff", "#f1cfd4", "#e3a0a9", "#d5707e", "#c74153", "#b91228",
"#ffffff", "#f1cfd4", "#e3a0a9", "#d5707e", "#c74153", "#b91228",
"#ffffff", "#f1cfd4", "#e3a0a9", "#d5707e", "#c74153", "#b91228"
)) +
theme(text = element_text(family = "serif"),
axis.text.x = element_text(size=15),
axis.text.y = element_text(size=15),
axis.title = element_text(size=18),
legend.position = 'none') +
coord_cartesian(ylim= c(0, 3), xlim= c(0,3), expand = FALSE)
} else {
p <- p0+
#scale_x_continuous(limits=c(0,3),breaks=seq(0,3,0.5))+
#scale_y_continuous(limits=c(0,3),breaks=seq(0,3,0.5))+
labs(x=expression(paste(R/R[200])),
y=expression(paste('|',Delta,V,'|/',sigma)))+
geom_point(data=cl ,aes(r,v),shape=19,size=0.5,color=c1)+
geom_point(data=bs ,aes(r,v),shape=19,size=0.5,color=c2)+
geom_point(data=ing,aes(r,v),shape=19,size=0.5,color=c3)+
geom_point(data=rin,aes(r,v),shape=19,size=0.5,color=c4)+
geom_point(data=int,aes(r,v),shape=19,size=0.2,color=c5) +
coord_cartesian(ylim= c(0, 3), xlim= c(0,3), expand = FALSE)
}
if(reference == FALSE){
hx <- ggplot(data=cl,aes(r))+
labs(x = element_blank(),
y = 'Norm. Counts')+
#scale_x_continuous(limits=c(0,3),breaks=seq(0,3,0.5))+
theme_minimal()+
theme(text = element_text(family = "serif"),
axis.title = element_text(size=15),
axis.text.x = element_text(size=10),
axis.text.y = element_text(size=10))+
stat_bin(color=c1,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = bs, color=c2,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = ing, color=c3,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = rin, color=c4,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = int, color=c5,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
coord_cartesian(xlim= c(0,3), expand = FALSE)
#geom_density(color=c1,lwd=1.5)+
#geom_density(data=bs, aes(r),color=c2,lwd=1.5)+
#geom_density(data=ing,aes(r),color=c3,lwd=1.5)+
#geom_density(data=rin,aes(r),color=c4,lwd=1.5)+
#geom_density(data=int,aes(r),color=c5,lwd=1.5)
hy <- ggplot(data=cl,aes(v))+
labs(x = element_blank(),
y = 'Norm. Counts')+
scale_y_continuous(breaks=seq(0,1,0.07))+
theme_minimal()+
theme(text = element_text(family = "serif"),
axis.title = element_text(size=15),
axis.text.x = element_text(size=10),
axis.text.y = element_text(size=10))+
stat_bin(color=c1,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = bs, color=c2,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = ing, color=c3,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = rin, color=c4,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = int, color=c5,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
coord_cartesian(xlim= c(0,3), ylim= c(0,3))+
coord_flip(xlim = c(0,3), expand = FALSE)
#geom_density(color=c1,lwd=1.5)+
#geom_density(data=bs,aes(v),color=c2,lwd=1.5)+
#geom_density(data=ing,aes(v),color=c3,lwd=1.5)+
#geom_density(data=rin,aes(v),color=c4,lwd=1.5)+
#geom_density(data=int,aes(v),color=c5,lwd=1.5)+
} else {
hx <- ggplot(data=cl,aes(r))+
labs(x = element_blank(),
y = 'Norm. Counts')+
#scale_x_continuous(limits=c(0,3),breaks=seq(0,3,0.5))+
theme_minimal()+
theme(text = element_text(family = "serif"),
axis.title = element_text(size=15),
axis.text.x = element_text(size=13),
axis.text.y = element_text(size=13))+
stat_bin(color=c1,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = bs, color=c2,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = ing, color=c3,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = rin, color=c4,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = int, color=c5,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
#geom_density(color=c1,lwd=1.5)+
#geom_density(data=bs, aes(r),color=c2,lwd=1.)+
#geom_density(data=ing,aes(r),color=c3,lwd=1.)+
#geom_density(data=rin,aes(r),color=c4,lwd=1.)+
#geom_density(data=int,aes(r),color=c5,lwd=1.)+
stat_bin(data = cl0, lty = 2, color=c1,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = bs0, lty = 2, color=c2,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = ing0, lty = 2, color=c3,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = rin0, lty = 2, color=c4,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = int0, lty = 2, color=c5,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
coord_cartesian(xlim= c(0,3), expand = FALSE)
#geom_density(data=cl0, aes(r), color = c1, lwd = 0.5, lty = 2)+
#geom_density(data=bs0, aes(r), color = c2, lwd = 0.5, lty = 2)+
#geom_density(data=ing0, aes(r), color = c3, lwd = 0.5, lty = 2)+
#geom_density(data=rin0, aes(r), color = c4, lwd = 0.5, lty = 2)+
#geom_density(data=int0, aes(r), color = c5, lwd = 0.5, lty = 2)
hy <- ggplot(data=cl,aes(v))+
labs(x = element_blank(),
y = 'Norm. Counts')+
scale_y_continuous(breaks=seq(0,1,0.07))+
theme_minimal()+
theme(text = element_text(family = "serif"),
axis.title = element_text(size=15),
axis.text.x = element_text(size=13),
axis.text.y = element_text(size=13))+
stat_bin(color=c1,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = bs, color=c2,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = ing, color=c3,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = rin, color=c4,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = int, color=c5,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
#geom_density(color=c1,lwd=1.5)+
#geom_density(data=bs,aes(v),color=c2,lwd=1.5)+
#geom_density(data=ing,aes(v),color=c3,lwd=1.5)+
#geom_density(data=rin,aes(v),color=c4,lwd=1.5)+
#geom_density(data=int,aes(v),color=c5,lwd=1.5)+
stat_bin(data = cl0, lty = 2, color=c1,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = bs0, lty = 2, color=c2,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = ing0, lty = 2, color=c3,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = rin0, lty = 2, color=c4,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = int0, lty = 2, color=c5,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
#geom_density(data=cl0, aes(v), color = c1, lwd = 0.5, lty = 2)+
#geom_density(data=bs0, aes(v), color = c2, lwd = 0.5, lty = 2)+
#geom_density(data=ing0, aes(v), color = c3, lwd = 0.5, lty = 2)+
#geom_density(data=rin0, aes(v), color = c4, lwd = 0.5, lty = 2)+
#geom_density(data=int0, aes(v), color = c5, lwd = 0.5, lty = 2)+
coord_cartesian(xlim= c(0,3), ylim= c(0,3))+
coord_flip(xlim = c(0,3), expand = FALSE)
}
blankPlot <- ggplot()+geom_blank(aes(1,1))+
theme(
plot.background = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.border = element_blank(),
panel.background = element_blank(),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
axis.text.x = element_blank(),
axis.text.y = element_blank(),
axis.ticks = element_blank(),
axis.line = element_blank()
)
plot <- grid.arrange(hx, blankPlot, p, hy,
ncol=2, nrow=2, widths=c(4, 1.4), heights=c(1.4, 4))
return(plot)
}
espejo <- function(dat){
dat0 <- dat
dat1 <- dat
dat1$v <- -dat1$v
dat <- rbind(dat0, dat1)
return(dat)
}
Martindelosrios/pratto documentation built on Oct. 17, 2023, 12:17 p.m.
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Defines functions espejo plot_ppsd
Documented in plot_ppsd
#' A function to plot the projection phase space distribution.
#'
#' This function allows you to plot the projection phase space distribution of a
#' dataset.
#' @param cl, bs, ing, rin, int: Data frames with the cluster galaxies (cl),
#' backsplash galaxies (bs), infalling galaxies (ing),
#' recent infalling galaxies (rin) and interlooper galaxies (int)
#' of the catalog that will be plotted.
#' It should have as columns the
#' distance to the cluster center normalized to the virial radius of each
#' cluster ('r') and the line-of-sight velocity relative to the cluster
#' normalized to the line-of-sight velocity of the cluster ('v').
#' @param cl0, bs0, ing0, rin0, int0: Data frames with the cluster galaxies (cl),
#' backsplash galaxies (bs), infalling galaxies (ing),
#' recent infalling galaxies (rin) and interlooper galaxies (int)
#' of the reference catalog that will be plotted.
#' It should have as columns the
#' distance to the cluster center normalized to the virial radius of each
#' cluster ('r') and the line-of-sight velocity relative to the cluster
#' normalized to the line-of-sight velocity of the cluster ('v').
#' @param dens: Flag indicating if the density should be plotted. Default = TRUE.
#' @param reference: Flag indicating is the properties of the reference catalog should be plotted.
#' Default = FALSE.
#' @export
#' @examples
#' plot_ppsd(cl, bs, ing, rin, int)
plot_ppsd <- function(cl, bs, ing, rin, int, dens = TRUE, cl0 = cl_gal0, bs0 = bs_gal0, ing0 = in_gal0, rin0 = rin_gal0, int0 = int_gal0, reference = FALSE, hist_bins_x = 25, hist_bins_y = 20, geom = 'line'){
c1 <- rgb(185/255, 18/255, 40/255,1) #b91228
# backsplash
c2 <- rgb(255/255,133/255,27/255,1) #ff851b
# infall
c3 <- rgb(95/255, 75/255, 139/255,1) #5f4b8b
# recent infallers
c4 <- rgb(61/255, 153/255, 112/255,1) #3d9970
# interloopers
c5 <- '#808080'
cl <- espejo(cl)
bs <- espejo(bs)
ing <- espejo(ing)
rin <- espejo(rin)
int <- espejo(int)
if(reference == TRUE){
cl0 <- espejo(cl0)
bs0 <- espejo(bs0)
ing0 <- espejo(ing0)
rin0 <- espejo(rin0)
int0 <- espejo(int0)
}
p0 <- ggplot(data = cl, aes(r, v)) +
theme_bw() +
theme(text = element_text(family = "serif"),
axis.text.x = element_text(size=10),
axis.text.y = element_text(size=10))
if(dens == TRUE){
p <- p0+
#scale_x_continuous(limits = c(0, 3), breaks = seq(0, 3, 0.5)) +
#scale_y_continuous(limits = c(0, 3), breaks = seq(0, 3, 0.5)) +
labs(x = TeX('R_{proj}/R_{200}'),
y = TeX('|$\\Delta$V_{los}|/$\\sigma$')) +
geom_point(data = int,aes(r,v),shape=19,size=0.2,color=c5, alpha = 0.5) +
geom_density_2d(data = ing, aes(x = r, y = v, colour = ..level..), lwd = 1, bins = 6) +
scale_colour_gradient(low = rgb(1,1,1,0.0), high = c3)+
new_scale_fill()+
geom_density_2d_filled(data = ing, aes(x = r, y = v, alpha = ..level.., fill = ..level..), lwd = 1, bins = 6) +
scale_fill_manual(values = c('#ffffff','#dfdbe7','#bfb7d0','#9f93b9','#7f6fa2','#5f4b8b'))+
new_scale_colour()+
geom_density_2d(data = bs, aes(x = r, y = v, colour = ..level..), lwd = 1, bins = 6) +
scale_colour_gradient(low = rgb(1,1,1,0.0), high = c2)+
new_scale_fill()+
geom_density_2d_filled(data = bs, aes(x = r , y = v, alpha = ..level.., fill = ..level..), lwd = 1, bins = 6) +
scale_fill_manual(values = c('#ffffff','#ffe6d1','#ffcea3','#ffb576','#ff9d48','#ff851b'))+
new_scale_colour()+
geom_density_2d(data = rin, aes(x = r, y = v, colour = ..level..), lwd = 1, bins = 6) +
scale_colour_gradient(low = rgb(1,1,1,0.0), high = c4)+
new_scale_fill()+
geom_density_2d_filled(data = rin, aes(x = r, y = v, alpha = ..level.., fill = ..level..), lwd = 1, bins = 6)+
scale_fill_manual(values = c('#ffffff','#d8eae3','#b1d6c8','#8ac1ac','#63ad91','#3d9976'))+
new_scale_colour()+
geom_density_2d(data = cl, aes(x = r, y = v, colour = ..level..), lwd = 1, bins = 6) +
scale_colour_gradient(low = rgb(1,1,1,0.0), high = c1)+
new_scale_fill()+
geom_density_2d_filled(data = cl, aes(x = r , y = v, alpha = ..level.., fill = ..level..), lwd = 1, bins = 6) +
#scale_fill_manual(values = c('#ffffff','#f1cfd4','#e3a0a9','#d5707e','#c74153','#b91228'))+
scale_fill_manual(values = c(
"#ffffff", "#f1cfd4", "#e3a0a9", "#d5707e", "#c74153", "#b91228",
"#ffffff", "#f1cfd4", "#e3a0a9", "#d5707e", "#c74153", "#b91228",
"#ffffff", "#f1cfd4", "#e3a0a9", "#d5707e", "#c74153", "#b91228",
"#ffffff", "#f1cfd4", "#e3a0a9", "#d5707e", "#c74153", "#b91228"
)) +
theme(text = element_text(family = "serif"),
axis.text.x = element_text(size=15),
axis.text.y = element_text(size=15),
axis.title = element_text(size=18),
legend.position = 'none') +
coord_cartesian(ylim= c(0, 3), xlim= c(0,3), expand = FALSE)
} else {
p <- p0+
#scale_x_continuous(limits=c(0,3),breaks=seq(0,3,0.5))+
#scale_y_continuous(limits=c(0,3),breaks=seq(0,3,0.5))+
labs(x=expression(paste(R/R[200])),
y=expression(paste('|',Delta,V,'|/',sigma)))+
geom_point(data=cl ,aes(r,v),shape=19,size=0.5,color=c1)+
geom_point(data=bs ,aes(r,v),shape=19,size=0.5,color=c2)+
geom_point(data=ing,aes(r,v),shape=19,size=0.5,color=c3)+
geom_point(data=rin,aes(r,v),shape=19,size=0.5,color=c4)+
geom_point(data=int,aes(r,v),shape=19,size=0.2,color=c5) +
coord_cartesian(ylim= c(0, 3), xlim= c(0,3), expand = FALSE)
}
if(reference == FALSE){
hx <- ggplot(data=cl,aes(r))+
labs(x = element_blank(),
y = 'Norm. Counts')+
#scale_x_continuous(limits=c(0,3),breaks=seq(0,3,0.5))+
theme_minimal()+
theme(text = element_text(family = "serif"),
axis.title = element_text(size=15),
axis.text.x = element_text(size=10),
axis.text.y = element_text(size=10))+
stat_bin(color=c1,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = bs, color=c2,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = ing, color=c3,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = rin, color=c4,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = int, color=c5,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
coord_cartesian(xlim= c(0,3), expand = FALSE)
#geom_density(color=c1,lwd=1.5)+
#geom_density(data=bs, aes(r),color=c2,lwd=1.5)+
#geom_density(data=ing,aes(r),color=c3,lwd=1.5)+
#geom_density(data=rin,aes(r),color=c4,lwd=1.5)+
#geom_density(data=int,aes(r),color=c5,lwd=1.5)
hy <- ggplot(data=cl,aes(v))+
labs(x = element_blank(),
y = 'Norm. Counts')+
scale_y_continuous(breaks=seq(0,1,0.07))+
theme_minimal()+
theme(text = element_text(family = "serif"),
axis.title = element_text(size=15),
axis.text.x = element_text(size=10),
axis.text.y = element_text(size=10))+
stat_bin(color=c1,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = bs, color=c2,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = ing, color=c3,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = rin, color=c4,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = int, color=c5,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
coord_cartesian(xlim= c(0,3), ylim= c(0,3))+
coord_flip(xlim = c(0,3), expand = FALSE)
#geom_density(color=c1,lwd=1.5)+
#geom_density(data=bs,aes(v),color=c2,lwd=1.5)+
#geom_density(data=ing,aes(v),color=c3,lwd=1.5)+
#geom_density(data=rin,aes(v),color=c4,lwd=1.5)+
#geom_density(data=int,aes(v),color=c5,lwd=1.5)+
} else {
hx <- ggplot(data=cl,aes(r))+
labs(x = element_blank(),
y = 'Norm. Counts')+
#scale_x_continuous(limits=c(0,3),breaks=seq(0,3,0.5))+
theme_minimal()+
theme(text = element_text(family = "serif"),
axis.title = element_text(size=15),
axis.text.x = element_text(size=13),
axis.text.y = element_text(size=13))+
stat_bin(color=c1,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = bs, color=c2,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = ing, color=c3,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = rin, color=c4,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = int, color=c5,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
#geom_density(color=c1,lwd=1.5)+
#geom_density(data=bs, aes(r),color=c2,lwd=1.)+
#geom_density(data=ing,aes(r),color=c3,lwd=1.)+
#geom_density(data=rin,aes(r),color=c4,lwd=1.)+
#geom_density(data=int,aes(r),color=c5,lwd=1.)+
stat_bin(data = cl0, lty = 2, color=c1,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = bs0, lty = 2, color=c2,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = ing0, lty = 2, color=c3,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = rin0, lty = 2, color=c4,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
stat_bin(data = int0, lty = 2, color=c5,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_x)+
coord_cartesian(xlim= c(0,3), expand = FALSE)
#geom_density(data=cl0, aes(r), color = c1, lwd = 0.5, lty = 2)+
#geom_density(data=bs0, aes(r), color = c2, lwd = 0.5, lty = 2)+
#geom_density(data=ing0, aes(r), color = c3, lwd = 0.5, lty = 2)+
#geom_density(data=rin0, aes(r), color = c4, lwd = 0.5, lty = 2)+
#geom_density(data=int0, aes(r), color = c5, lwd = 0.5, lty = 2)
hy <- ggplot(data=cl,aes(v))+
labs(x = element_blank(),
y = 'Norm. Counts')+
scale_y_continuous(breaks=seq(0,1,0.07))+
theme_minimal()+
theme(text = element_text(family = "serif"),
axis.title = element_text(size=15),
axis.text.x = element_text(size=13),
axis.text.y = element_text(size=13))+
stat_bin(color=c1,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = bs, color=c2,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = ing, color=c3,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = rin, color=c4,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = int, color=c5,lwd=1.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
#geom_density(color=c1,lwd=1.5)+
#geom_density(data=bs,aes(v),color=c2,lwd=1.5)+
#geom_density(data=ing,aes(v),color=c3,lwd=1.5)+
#geom_density(data=rin,aes(v),color=c4,lwd=1.5)+
#geom_density(data=int,aes(v),color=c5,lwd=1.5)+
stat_bin(data = cl0, lty = 2, color=c1,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = bs0, lty = 2, color=c2,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = ing0, lty = 2, color=c3,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = rin0, lty = 2, color=c4,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
stat_bin(data = int0, lty = 2, color=c5,lwd=0.5,aes(y=..count../sum(..count..)), geom = geom, bins = hist_bins_y)+
#geom_density(data=cl0, aes(v), color = c1, lwd = 0.5, lty = 2)+
#geom_density(data=bs0, aes(v), color = c2, lwd = 0.5, lty = 2)+
#geom_density(data=ing0, aes(v), color = c3, lwd = 0.5, lty = 2)+
#geom_density(data=rin0, aes(v), color = c4, lwd = 0.5, lty = 2)+
#geom_density(data=int0, aes(v), color = c5, lwd = 0.5, lty = 2)+
coord_cartesian(xlim= c(0,3), ylim= c(0,3))+
coord_flip(xlim = c(0,3), expand = FALSE)
}
blankPlot <- ggplot()+geom_blank(aes(1,1))+
theme(
plot.background = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.border = element_blank(),
panel.background = element_blank(),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
axis.text.x = element_blank(),
axis.text.y = element_blank(),
axis.ticks = element_blank(),
axis.line = element_blank()
)
plot <- grid.arrange(hx, blankPlot, p, hy,
ncol=2, nrow=2, widths=c(4, 1.4), heights=c(1.4, 4))
return(plot)
}
espejo <- function(dat){
dat0 <- dat
dat1 <- dat
dat1$v <- -dat1$v
dat <- rbind(dat0, dat1)
return(dat)
}
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