data-raw/labour.R

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

labour <- stats::ts(c(6468.5, 6465.4, 6457.6, 6436.7, 6424.8, 6416.6,
6403.7, 6411.6, 6416.2, 6406.6, 6570.0, 6421.2, 6508.8, 6524.6,
6508.2, 6475.7, 6488.7, 6491.0, 6456.0, 6558.2, 6555.4, 6552.4,
6688.1, 6554.6, 6655.8, 6694.3, 6632.8, 6690.0, 6679.2, 6701.7,
6675.9, 6767.6, 6698.7, 6701.6, 6862.3, 6686.8, 6784.2, 6841.2,
6805.8, 6791.6, 6767.6, 6803.6, 6774.3, 6896.7, 6819.3, 6808.4,
6944.4, 6799.4, 6921.2, 6961.2, 6871.6, 6894.7, 6865.9, 6879.3,
6840.7, 6952.6, 6961.7, 6922.2, 7047.6, 6866.7, 7014.2, 7044.3,
6963.8, 6993.3, 6959.7, 6982.2, 6927.9, 7079.1, 6989.3, 7002.3,
7146.4, 6969.3, 7101.9, 7203.2, 7153.2, 7125.2, 7131.5, 7123.6,
7070.1, 7200.6, 7131.5, 7147.3, 7263.4, 7110.1, 7269.9, 7330.2,
7204.1, 7267.1, 7267.0, 7270.3, 7248.3, 7403.9, 7305.8, 7425.1,
7502.0, 7378.5, 7527.2, 7604.5, 7606.5, 7573.5, 7571.5, 7587.6,
7516.2, 7673.7, 7621.4, 7618.4, 7772.6, 7573.2, 7722.0, 7836.2,
7761.6, 7738.7, 7732.0, 7785.7, 7694.4, 7784.1, 7762.8, 7749.3,
7951.3, 7815.6, 7892.1, 8042.7, 8028.2, 7947.9, 7947.3, 7901.8,
7892.1, 8057.7, 7985.2, 7997.1, 8186.2, 8017.3, 8167.8, 8184.5,
8199.4, 8247.8, 8197.9, 8235.1, 8197.0, 8355.7, 8275.1, 8317.5,
8443.5, 8263.0, 8402.8, 8426.4, 8428.5, 8466.5, 8451.8, 8502.3,
8412.5, 8553.2, 8477.5, 8479.4, 8645.7, 8263, 8436.4, 8199.393,
8323.465, 8606.8, 8199.389, 8480.8, 8425.7, 8630.0, 8489.4,
8491.6, 8699.8, 8530.5, 8648.6, 8653.6, 8607.3, 8607.9, 8615.5,
8667.9, 8585.7, 8686.8, 8627.4, 8552.0, 8738.7, 8543.6, 8583.2,
8643.6, 8519.6, 8573.4, 8591.5, 8573.1, 8537, 8712.5, 8668.2,
8662.7, 8816.7, 8656, 8759, 8787.4, 8718.7, 8729.1, 8731.9,
8788.9, 8683.5, 8918.1, 8788.1, 8789.3, 8963.8, 8807.1, 8976.3,
8980.3, 8973.7, 8984.4, 8998.4, 9003.1, 8939.6),f=12,s=1978+1/12)
usethis::use_data(labour, overwrite=TRUE)