# library(YahooTickers)
# library(forecast)
# library(dplyr)
# library(tidyr)
#
# context("Testing get_forecasts()")
#
# set.seed(1)
#
# stock_fc <- tibble(
# time = as.Date('2009-01-01') + 0:49,
# X = rnorm(50, 0, 1),
# Y = rnorm(50, 0, 2),
# Z = rnorm(50, 0, 4)
# ) %>%
# gather(stock, price, -time) %>%
# get_models(.group = stock,
# .col = price,
# .initial = 40,
# .assess = 1,
# .cumulative = TRUE,
# .fun = Arima,
# order = c(0, 0, 0),
# seasonal = c(0, 0, 0)
# ) %>%
# get_forecasts()
#
# test_that("The output contains the correct dimmensions", {
#
# # class
# expect_is(stock_fc, "tbl")
# expect_is(stock_fc, "YahooTickers")
#
# # rows
# expect_equal(nrow(stock_fc), 30L)
#
# # cols
# expect_equal(ncol(stock_fc), 8L)
#
# # names
# expect_equal(names(stock_fc),
# c("time", "stock", "price", "point_forecast", "lo.80", "lo.95", "hi.80", "hi.95")
# )
#
#
# })
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.