data-raw/uselec.R

In robjhyndman/fma: Data Sets from "Forecasting: Methods and Applications" by Makridakis, Wheelwright & Hyndman (1998)

uselec <- stats::ts(c(227.86, 198.24, 194.97, 184.88, 196.79, 205.36,
226.72, 226.05, 202.50, 194.79, 192.43, 219.25, 217.47, 192.34,
196.83, 186.07, 197.31, 215.02, 242.67, 225.17, 206.69, 197.75,
196.43, 213.55, 222.75, 194.03, 201.85, 189.50, 206.07, 225.59,
247.91, 247.64, 213.01, 203.01, 200.26, 220.50, 237.90, 216.94,
214.01, 196.00, 208.37, 232.75, 257.46, 267.69, 220.18, 210.61,
209.59, 232.75, 232.75, 219.82, 226.74, 208.04, 220.12, 235.69,
257.05, 258.69, 227.15, 219.91, 219.30, 259.04, 237.29, 212.88,
226.03, 211.07, 222.91, 249.18, 266.38, 268.53, 238.02, 224.69,
213.75, 237.43, 248.46, 210.82, 221.40, 209.00, 234.37, 248.43,
271.98, 268.11, 233.88, 223.43, 221.38, 233.76, 243.97, 217.76,
224.66, 210.84, 220.35, 236.84, 266.15, 255.20, 234.76, 221.29,
221.26, 244.13, 245.78, 224.62, 234.80, 211.37, 222.39, 249.63,
282.29, 279.13, 236.60, 223.62, 225.86, 246.41, 261.70, 225.01,
231.54, 214.82, 227.70, 263.86, 278.15, 274.64, 237.66, 227.97,
224.75, 242.91, 253.08, 228.13, 233.68, 217.38, 236.38, 256.08,
292.83, 304.71, 245.57, 234.41, 234.12, 258.17, 268.66, 245.31,
247.47, 226.25, 251.67, 268.79, 288.94, 290.16, 250.69,
240.80),f=12,s=1985)
usethis::use_data(uselec, overwrite=TRUE)