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fix colors and shapes #1

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78 changes: 39 additions & 39 deletions R_CODE/helper.R
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Original file line number Diff line number Diff line change
Expand Up @@ -8,44 +8,44 @@
# Plotting Processes

plot_landscape <- function(history, n_samples, n_init, sobol, n_dim, expParam1_range, expParam2_range, k=1, model_num=1){
# Does the landscape plotting, without the max/min/etc. points added on.
datagrid <- expand.grid(A= seq(expParam1_range[1], expParam1_range[2], length.out=n_dim),
PI=seq(expParam2_range[1], expParam2_range[2], length.out=n_dim))
coords <- jitter_points(history[c("PI","A")], datagrid, history)
history$A <- coords$A
history$PI <- coords$PI
GP <- run_gp(history, datagrid)
df <- data.frame(GP$complete_data)
colnames(df) <- c("A", "PI", "Information", "MSE")
df <- df[df$PI>=0.2 & df$PI<=0.8,]
max_point <- df[which.max(df$Information),]
coords <- as.numeric(max_point[1:2])
max_point <- data.frame(A=coords[1], PI=coords[2])

title <- paste("Model: ", model_num, " ... Number of Searches: ", dim(history)[1], sep="")
out <- ggplot(df, aes(x=PI,y=A, guides=T)) +
geom_point(aes(color=Information), alpha=0.975, size=200/n_dim, shape=15) + xlim(c(0.185,0.815)) +
scale_color_gradientn(colors=jet.colors) +
geom_point(data=history, aes(x=PI, y=A, fill = "Searches"), size=1.4, shape=21, color="white", alpha=0.8) +
geom_point(data=max_point, aes(x=PI, y=A, fill = "Maximum"), size=6, shape=24, color="white", alpha=0.8) +
ggtitle(title) + theme_minimal() + xlab(TeX("$\\pi$")) + ylab(TeX("$A$")) +
scale_fill_manual(name='', values=c("Searches"='black', "Maximum"='deeppink'), guide='legend') +
guides(fill = guide_legend(override.aes = list(shape=c(24, 21), color=c("deeppink", "black"), size=c(3,2)))) +
theme(text=element_text(size=12, family="Times"),
plot.title = element_text(family="Times", hjust=0.5, size=15),
axis.title.x = element_text(size=16),
axis.text.x = element_text(size=14),
axis.text.y = element_text(size=14),
axis.title.y = element_text(size=16),
axis.ticks.x=element_blank(),
axis.ticks.y=element_blank(),
panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_blank())
return(list(out))
# Does the landscape plotting, without the max/min/etc. points added on.
datagrid <- expand.grid(A= seq(expParam1_range[1], expParam1_range[2], length.out=n_dim),
PI=seq(expParam2_range[1], expParam2_range[2], length.out=n_dim))
coords <- jitter_points(history[c("PI","A")], datagrid, history)
history$A <- coords$A
history$PI <- coords$PI
GP <- run_gp(history, datagrid)
df <- data.frame(GP$complete_data)
colnames(df) <- c("A", "PI", "Information", "MSE")
df <- df[df$PI>=0.2 & df$PI<=0.8,]
max_point <- df[which.max(df$Information),]
coords <- as.numeric(max_point[1:2])
max_point <- data.frame(A=coords[1], PI=coords[2])
title <- paste("Model: ", model_num, " ... Number of Searches: ", dim(history)[1], sep="")
out <- ggplot(df, aes(x=PI,y=A, guides=T)) +
geom_point(aes(color=Information), alpha=0.975, size=200/n_dim, shape=15) + xlim(c(0.185,0.815)) +
scale_color_gradientn(colors=jet.colors) +
geom_point(data=history, aes(x=PI, y=A, fill = "Searches"), size=1.4, shape=21, color="white", alpha=0.8) +
geom_point(data=max_point, aes(x=PI, y=A, fill = "Maximum"), size=6, shape=24, color="white", alpha=0.8) +
ggtitle(title) + theme_minimal() + xlab(TeX("$\\pi$")) + ylab(TeX("$A$")) +
scale_fill_manual(name='', values=c("Maximum"='deeppink', "Searches"='black'), guide='legend') +
guides(fill = guide_legend(override.aes = list(shape=c(24, 21), color=c("deeppink", "black"), size=c(3,2)))) +
theme(text=element_text(size=12, family="Times"),
plot.title = element_text(family="Times", hjust=0.5, size=15),
axis.title.x = element_text(size=16),
axis.text.x = element_text(size=14),
axis.text.y = element_text(size=14),
axis.title.y = element_text(size=16),
axis.ticks.x=element_blank(),
axis.ticks.y=element_blank(),
panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_blank())
return(list(out))
}

make_filename <- function(asymmetric, sampling, n_init, method, n_samples, search, seed, sobol, models_used, top_model, dtype="CSV"){
Expand Down Expand Up @@ -102,4 +102,4 @@ summarySE <- function(data=NULL, measurevar, groupvars=NULL, na.rm=FALSE, conf.i
datac$ci <- datac$se * ciMult

return(datac)
}
}