data-raw/dj.R

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

dj <- stats::ts(c(3651, 3645, 3626, 3634, 3620.5, 3607, 3589, 3590, 3622,
3634, 3616, 3634, 3631, 3613, 3576, 3537, 3547, 3540, 3543, 3568,
3566, 3566, 3555, 3581, 3578, 3587, 3599, 3584, 3585, 3593, 3593,
3603, 3622, 3630, 3642, 3635, 3645, 3636, 3649, 3674, 3672, 3665,
3688, 3681, 3693, 3698, 3662, 3625, 3643, 3648, 3640, 3664, 3662,
3684, 3678, 3711, 3704, 3685, 3694, 3670, 3674, 3688, 3686, 3684,
3678, 3684, 3697, 3702, 3704, 3710, 3719, 3734, 3730, 3741, 3764,
3743, 3717, 3726, 3752, 3755, 3745, 3762, 3758, 3776, 3794, 3776,
3757, 3784, 3799, 3804, 3821, 3866, 3850, 3849, 3842, 3867, 3870,
3870, 3884, 3892, 3914, 3913, 3895, 3926, 3945, 3978, 3964, 3976,
3968, 3871, 3906, 3906, 3932, 3895, 3895, 3904, 3928, 3937, 3923,
3888, 3900, 3912, 3892, 3840, 3839, 3832, 3809, 3832, 3824, 3832,
3856, 3852, 3853, 3831, 3863, 3863, 3850, 3848, 3865, 3896, 3865,
3863, 3869, 3821, 3775, 3762, 3699, 3627, 3636, 3675, 3680, 3693,
3674, 3689, 3682, 3662, 3663, 3662, 3620, 3620, 3599, 3653, 3649,
3700, 3684, 3668, 3682, 3701, 3714, 3698, 3696, 3670, 3629, 3656,
3629, 3653, 3660, 3672, 3721, 3733, 3759, 3766, 3742, 3745, 3755,
3754, 3757, 3757.5, 3758, 3761, 3759, 3772, 3768, 3756, 3749,
3753, 3773, 3815, 3790, 3811, 3777, 3742, 3708, 3725, 3699, 3637,
3686, 3670, 3667, 3625, 3647, 3649.5, 3652, 3674, 3688, 3709,
3703, 3703, 3704, 3739, 3754, 3755, 3748, 3727, 3732, 3735, 3742,
3736, 3720, 3731, 3764, 3798, 3796, 3793, 3766, 3747, 3754, 3756,
3767, 3751, 3769, 3760, 3785, 3776, 3755, 3755, 3751, 3776, 3847,
3830, 3881, 3899, 3917, 3913, 3901, 3886, 3892.5, 3899, 3886,
3908, 3875, 3860, 3880, 3895, 3954, 3933, 3937, 3869, 3852, 3837,
3832, 3849, 3863, 3878, 3855, 3843, 3847, 3801, 3787, 3776, 3797,
3821, 3877, 3875, 3890, 3910, 3924, 3918, 3936, 3911, 3891,
3855),s=1,f=1)
usethis::use_data(dj, overwrite=TRUE)