1 download data
library(FinCal)
require(gridExtra)
library(ggplot2)
dat <- get.ohlc.yahoo('AAPL', '2015-12-01', '2015-12-31')
dat$date <- as.Date(dat$date, "%Y-%m-%d")
dat$volume <- dat$volume/1000000
2 two different plots
Use these two options.
axis.text.y = element_text(angle = 90)
xlim(range(dat$date))
p1 <- ggplot(dat, aes(date, adjusted)) + geom_line() +
theme(
axis.title.x = element_blank(),
axis.text.x = element_blank(),
axis.text.y = element_text(angle = 90)
) +
xlim(range(dat$date))
p2 <- ggplot(dat,aes(date, volume)) + geom_bar(stat="identity") +
theme(
axis.text.x = element_text(angle=90),
axis.text.y = element_text(angle = 90)
) +
ylab("volume(millions)") +
xlim(range(dat$date))
grid.arrange(p1, p2, ncol = 1, heights = c(2, 1))
p1 <- p1 + theme(plot.margin = unit(c(0, .5, -1.5, 0), "lines"))
p2 <- p2 + theme(plot.margin = unit(c(0, .5, 0, 0), "lines"))
grid.arrange(p1, p2, ncol = 1, heights = c(2, 1))