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tidyquant themes for ggplot2.

Source: R/ggplot-theme_tq.R
theme_tq.Rd

The theme_tq() function creates a custom theme using tidyquant colors.

Usage

theme_tq(base_size = 11, base_family = "")

theme_tq_dark(base_size = 11, base_family = "")

theme_tq_green(base_size = 11, base_family = "")

Arguments

base_size

base font size, given in pts.

base_family

base font family

See also

scale_manual()

Examples

# Load libraries
library(tidyquant)
library(dplyr)
library(ggplot2)

# Get stock prices
AAPL <- tq_get("AAPL", from = "2013-01-01", to = "2016-12-31")

# Plot using ggplot with theme_tq
AAPL %>% ggplot(aes(x = date, y = close)) +
       geom_line() +
       geom_bbands(aes(high = high, low = low, close = close),
                   ma_fun = EMA,
                   wilder = TRUE,
                   ratio = NULL,
                   n = 50) +
       coord_x_date(xlim = c("2016-01-01", "2016-12-31"),
                 ylim = c(75, 125)) +
       labs(title = "Apple BBands",
            x = "Date",
            y = "Price") +
       theme_tq()
#> Warning: The following aesthetics were dropped during statistical transformation: high,
#> low, close, y
#> ℹ This can happen when ggplot fails to infer the correct grouping structure in
#>   the data.
#> ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
#>   variable into a factor?
#> Warning: The following aesthetics were dropped during statistical transformation: high,
#> low, close
#> ℹ This can happen when ggplot fails to infer the correct grouping structure in
#>   the data.
#> ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
#>   variable into a factor?