I randomly simulated this time series data:
n_obs = 1:100
a1 = rexp(100,5)
b1 = rexp(100,5)
a1_col = "red"
b1_col = "blue"
symbol <- c("square","triangle")
point_symbol <- sample(symbol, 100, replace=TRUE, prob=c(0.5, 0.5))
stock_data = data.frame(n_obs, a1, b1, a1_col, b1_col, point_symbol)
stock_data$point_symbol_color = ifelse(stock_data$a1 > stock_data$b1, "hollow", "dark")
I was able to make a graph of this data:
library(ggplot2)
ggplot()
geom_line(data = stock_data, aes(x = n_obs, y = a1), color = "red")
geom_line(data = stock_data, aes(x = n_obs, y = b1), color = "blue")
xlab('n_obs')
ylab('exp value') ggtitle("sample")