我有这样的代码，其是一个滚动的迭代的初始步骤的一部分
for (u in 1:5605){
for (j in 1:498){
work.on.col = j
work.dt = data[u:(u+365),work.on.col] # u:(u+365-1) considers the rolling window
}
}
因此，基本上，这使得滚动窗口从u == 1到u == 5605每个j。然而，这是一步步（或在这种情况下：由天的一天）滚动算法。我想将其更改为，也是这样做的
> dput(data)
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5.0778, 5.4586, 5.3634, 5.3, 5.4586, 5.411, 5.2524, 5.2841, 5.1413,
5.173, 5.0937, 4.9985, 5.1095, 5.2682, 5.3952, 5.411, 5.6967,
5.4586, 5.4745, 5.3317, 5.3158, 5.3158, 5.1095, 5.1095, 4.8081,
4.7287, 4.7763, 4.7128, 4.5859, 4.5542, 4.6652, 4.451, 4.4907,
4.6335, 4.6335, 4.57, 4.7287, 4.4431, 4.3479, 4.3637, 4.57, 4.5859,
4.57, 4.4114, 4.3003, 4.4193, 4.4828, 4.5542, 4.5859, 4.578,
4.4812, 4.4812, 4.4653, 4.4335, 4.4335, 4.3064, 4.1316, 4.1316,
3.8217, 3.8297, 4.0045, 4.4812, 4.1634, 4.1475, 4.068, 3.8614,
4.0998, 4.0362, 3.8773, 3.8614, 3.8614, 3.925, 3.925, 3.9091,
4.211, 4.2269, 4.1634, 4.1634, 4.1475, 4.068, 4.1316, 4.1951,
4.1316, 4.0998, 4.3382, 4.7354, 4.5447, 4.5447, 4.4653, 4.5606,
4.7672, 4.5765, 4.4335, 4.4335, 4.4812, 4.3699, 4.2428, 4.2905,
4.3143, 4.1951, 4.2269, 4.1792, 4.0998, 4.1792, 4.2905, 4.2428,
4.5845, 4.8308, 4.7831, 4.6877, 4.4494, 4.9102, 4.8149, 4.7418,
4.7736, 4.694, 4.5508, 4.4235, 4.3042, 4.519, 4.6145, 4.5667,
4.694, 4.7895, 4.71, 4.71, 4.694, 4.6463, 4.5508, 4.3917, 4.4235,
4.4235, 4.3122, 4.2962, 4.1689, 4.3281, 4.4076, 4.3599, 4.2962,
4.2326, 4.3917, 4.4554, 4.4713, 4.694, 4.9645, 5.0998, 5.2191,
5.4101, 5.2828, 5.2828, 5.1396, 5.0759, 5.0282, 5.0282, 5.0282,
5.0282, 5.0282, 5.0282, 5.5215, 5.3623, 5.3942, 5.3464, 5.1555,
5.235, 5.1396, 5.0918, 4.9964, 4.9964, 4.9645, 5.0918, 5.2032,
5.3146, 5.1873, 5.0123, 4.9645, 4.9645, 4.8532, 4.7259, 4.7736,
4.7577, 4.7577, 4.9168, 4.9805, 5.1555, 5.3623, 5.3783, 5.2669,
4.9964, 5.0123, 4.9709, 4.7479, 4.7718, 4.7638, 4.8275, 4.7319,
4.8435, 4.6523, 4.5885, 4.5407, 4.6523, 4.6045, 4.7638, 4.8275,
4.7957, 4.6523, 4.4292, 4.5089, 4.6523, 4.8116, 4.6602, 4.9311,
5.0187, 4.7797, 4.7797, 5.0665, 5.0506, 5.0187, 4.7001, 4.6523,
4.8275, 4.7319, 4.5248, 4.6523, 4.6841, 4.6682, 4.6523, 4.5089,
4.2938, 4.5089, 4.3416, 4.238, 4.238, 4.238, 4.4292, 4.4451,
4.9231, 5.1621, 5.2577, 5.2258, 5.2896, 5.4489, 5.2481, 5.2481,
5.1205, 5.0886, 5.2003, 5.3598, 5.4874, 5.5353, 5.5672, 5.4874,
5.3518, 5.2641, 5.3917, 5.3598, 5.296, 5.296, 5.1365, 5.0886,
5.0727, 5.1365, 5.1843, 4.8334, 4.9291, 4.9131, 4.9929, 5.3279,
5.615, 5.9341, 5.7905, 5.9181, 5.615, 5.5193, 5.5911, 5.5831,
5.4874, 5.6549, 5.7107, 5.631, 5.5911, 5.8703, 5.9022, 5.9181,
5.9181, 6.2371, 6.0936, 5.8064, 5.6948, 5.7666, 5.1684, 5.28,
5.4156, 5.5034, 5.296, 5.296, 5.3279, 5.296, 5.2641, 5.28, 5.304,
5.1365, 4.5941, 4.5782, 4.5542, 4.5303, 4.5144, 4.4984, 4.5064,
4.4745, 4.4346, 4.6324, 4.7442, 4.7442, 4.8081, 4.9199, 4.7762,
4.6164, 4.6324, 4.8161, 4.7921, 4.7762, 4.7362, 4.7362, 4.7362,
4.8081, 4.7362, 4.7442, 4.9119, 4.8241, 4.7762, 4.6971, 4.7287,
4.7762, 4.8078, 4.9659, 5.0925, 5.045, 4.9106, 5.0925, 5.0213,
5.1715, 5.3613, 5.1241, 5.2506, 5.2111, 5.4957, 5.2506, 5.4562,
5.4088, 5.1636, 4.8157, 5.0529, 4.9818, 4.9818, 5.1399, 5.1953,
5.1794, 5.2822, 5.2269, 5.219, 5.1874, 5.6381, 5.7251, 5.733,
5.7092, 5.646, 5.7883, 6.2944, 6.5949, 6.5474, 6.4447, 6.4288,
6.3102, 6.3482, 6.3798, 6.3086, 6.3561, 6.269, 6.4115, 6.4669,
6.4907, 6.5223, 6.3719, 6.5698, 6.5856, 6.5065, 6.3007, 6.0632,
6.3719, 6.3323, 6.2215, 6.2057, 6.2532, 5.8574, 6.1463, 6.182,
6.0793, 6.032, 6.1741, 6.1188, 6.0714, 6.0478, 6.032, 5.9451,
5.953, 5.7162, 5.7793, 6.1267, 6.1583, 5.3214, 5.4319, 5.3846,
5.424, 5.203, 5.3451, 5.274, 5.274, 5.3056, 5.4082, 5.2582, 5.3214,
5.2582, 5.1793, 5.3688, 5.2582, 5.1319, 4.9345, 4.4529, 4.5792,
4.3819, 4.4213, 4.374, 4.6582, 4.6977, 4.5871, 4.6819, 4.6819,
4.7687, 4.8477, 5.083, 5.2173, 5.2173, 5.1225, 5.1936, 5.3675,
5.2885, 5.3359, 5.2173, 5.1541, 5.0909, 4.917, 4.9644, 4.9644,
4.9644, 5.0118, 4.9407, 4.8695, 4.8379, 4.7272, 4.7272, 4.7984,
4.7589, 4.8695, 4.8537, 4.8458, 4.9644, 4.9881, 5.0592, 5.1383,
5.0988, 5.1067, 5.2173, 5.494, 5.494, 5.4782, 5.5415, 5.5494,
5.5336, 5.5454, 5.2806, 5.4071, 5.5098, 5.5889, 5.4545, 5.5177,
5.5494, 5.5256, 5.6284, 5.5177, 5.66, 5.664, 5.6126, 5.5494,
5.6205, 5.5177, 5.3913, 5.5573, 5.4703, 5.4545, 5.5731, 5.6205,
6.0711, 5.7549, 5.7391, 5.7154, 5.7928, 5.9036, 5.9511, 5.8482,
5.6662, 5.69, 5.7374, 5.7374, 5.9353, 5.9115, 6.1094, 6.1252,
6.1648, 6.331, 6.2123, 6.418, 6.2914, 6.4259, 6.3468, 6.1806,
6.4101, 6.3389, 6.3785, 6.3151, 6.2518, 6.236, 6.3072, 6.4101,
5.9828, 5.8245, 5.7374, 5.7295, 5.7454, 5.69, 5.7612, 5.6583,
5.5792, 5.4921, 5.4921, 5.2389, 5.2784, 5.3022, 5.0569, 4.9777,
5.1914, 5.0648, 5.1518, 5.1756, 5.1281, 5.5079, 5.318, 5.1677,
5.0648, 5.0173, 5.2864, 5.2547, 5.1835, 4.9936, 5.0806, 5.1281,
5.3259, 5.6187, 5.3734, 5.413, 5.3734, 5.269, 5.2452, 5.2452,
5.2056, 5.1659, 5.2769, 5.1739, 5.0946, 5.055, 4.9441, 4.9837,
5.0471, 5.0629, 5.1343, 5.0233, 5.0075, 4.9283, 4.8015, 4.8015,
4.7856, 4.5717, 4.3419, 4.0963, 4.0963, 4.0963, 4.0963, 4.0963,
4.0963, 4.0963, 4.0963, 4.0963, 4.0963, 4.0963, 4.0963, 4.0963,
4.0963, 4.0963, 4.0963, 4.0963, 4.0963, 4.0963, 3.407, 3.4466,
3.3278, 3.5021, 3.1693, 3.1455, 3.098), `5` = c(13.4319, 13.6184,
13.805, 13.8983, 13.8983, 13.805, 13.5252, 13.2453, 12.8722,
12.7789, 12.6857, 13.4319, 13.2453, 13.5252, 13.7117, 13.8983,
13.805, 13.8983, 13.805, 13.8983, 13.9915, 14.1781, 14.2154,
14.3089, 14.2154, 14.2154, 14.4024, 14.3089, 14.5895, 14.496,
14.3089, 14.3089, 14.3089, 14.4024, 14.496, 14.496, 14.2154,
14.2154, 14.4024, 14.4024, 14.496, 14.3089, 14.683, 14.4024,
14.496, 14.5895, 14.4024, 14.4024, 14.4024, 13.9348, 13.7478,
14.0284, 14.0284, 14.0284, 13.8413, 13.7478, 13.5607, 13.9348,
13.9348, 13.9348, 14.1219, 13.8413, 13.9348, 13.8413, 13.7478,
13.5607, 13.9348, 14.1219, 14.4024, 14.4024, 13.9348, 13.6543,
13.4672, 13.5607, 13.8413, 14.0284, 13.9348, 14.1219, 14.3089,
14.496, 14.2154, 14.3089, 14.3089, 14.3089, 14.1219, 14.3089,
14.1219, 14.3463, 14.1588, 14.065, 14.2526, 13.8775, 13.7837,
14.065, 14.1588, 14.1588, 14.065, 14.3463, 14.4401, 14.5339,
14.4401, 14.6276, 14.6276, 14.6276, 15.1902, 15.1902, 14.8152,
14.7214, 14.7214, 14.6276, 14.5339, 14.5339, 14.7214, 14.4401,
14.8152, 14.8152, 14.8152, 14.6276, 14.4401, 14.4401, 14.3463,
14.5339, 14.3463, 14.6276, 14.8152, 14.8152, 14.7214, 14.4401,
14.3463, 14.3463, 14.3463, 14.2526, 14.1588, 14.1588, 13.9713,
13.7837, 13.8775, 14.065, 13.9713, 13.3149, 13.0336, 12.9398,
12.5648, 12.8461, 12.6585, 12.5648, 12.6585, 12.6585, 12.6585,
12.8461, 12.7523, 13.1274, 13.3149, 13.3149, 13.5024, 13.5962,
13.5962, 13.915, 13.727, 13.6329, 13.5389, 13.5389, 13.6329,
13.821, 14.0184, 14.3146, 14.3146, 14.3146, 14.512, 14.3146,
14.4133, 14.512, 14.0184, 14.3146, 14.0184, 14.0184, 14.0184,
13.9197, 14.0184, 14.0184, 14.2159, 14.2159, 14.1172, 14.4133,
14.3146, 14.4133, 14.3146, 14.512, 14.8082, 14.7095, 14.6108,
14.7095, 14.9069, 15.0056, 15.0056, 15.2031, 15.1044, 15.4992,
15.4992, 15.7954, 15.9929, 15.598, 15.598, 16.0916, 16.289, 17.1775,
17.0788, 16.6839, 16.5852, 16.9801, 17.4737, 17.375, 17.1775,
16.5852, 16.6839, 16.3877, 16.8813, 16.9801, 17.1775, 17.2762,
17.2762, 17.8686, 17.4144, 17.3155, 17.2166, 17.2166, 17.3155,
17.3155, 17.3155, 17.7113, 17.6123, 17.9092, 17.6123, 17.5134,
17.4144, 17.5134, 17.1176, 17.4144, 17.4144, 17.4144, 16.9197,
17.0187, 16.8208, 16.6229, 16.6229, 16.8208, 17.2166, 17.3155,
17.2166, 16.9197, 16.6229, 17.4144, 17.4144, 17.7113, 17.7113,
18.1071, 18.1071, 18.1071, 18.206, 18.0081, 17.9092, 17.4144,
17.4144, 17.4144, 17.4144, 17.2166, 17.6123, 17.5134, 17.4144,
17.6123, 17.6123, 18.206, 17.8102, 17.3155, 16.9197, 16.8208,
16.6229, 16.5239, 15.8313, 15.7324, 15.2376, 15.8313, 15.7324,
15.8313, 15.6334, 15.6334, 15.4355, 15.2772, 15.2772, 15.178,
15.178, 15.178, 15.178, 15.0788, 15.0788, 15.0788, 15.0788, 14.8804,
14.7812, 15.0788, 15.3764, 15.2772, 15.0788, 14.8804, 14.682,
14.682, 14.5828, 14.4836, 14.3844, 14.8804, 14.9796, 14.8804,
14.7812, 14.3844, 14.3844, 14.5828, 14.3844, 14.0868, 13.8884,
13.9876, 14.2852, 14.2852, 14.4836, 14.3844, 14.3844, 14.186,
14.0868, 13.7892, 13.9876, 13.69, 13.8884, 13.9876, 14.0868,
14.2852, 13.8884, 13.69, 13.7892, 13.9876, 13.9876, 14.2852,
14.2852, 14.4836, 14.4836, 14.5828, 14.5828, 14.186, 14.2852,
14.5828, 14.3844, 14.2852, 14.5828, 14.7812, 15.0193, 14.8204,
14.522, 14.522, 15.0193, 15.4172, 15.5166, 15.7155, 15.6161,
15.6161, 15.815, 15.7155, 16.0139, 16.0139, 15.9145, 15.815,
15.9145, 15.9145, 15.7155, 15.815, 15.6161, 16.4118, 16.5113,
16.6107, 17.4065, 16.6107, 16.4118, 16.2129, 16.0139, 16.5113,
17.4065, 17.2075, 17.5059, 17.6054, 17.7049, 18.1027, 17.7049,
18.8487, 18.6995, 18.4508, 18.6498, 18.9979, 18.9979, 18.5006,
18.6, 18.5006, 18.6498, 18.7492, 18.6, 18.3017, 18.6498, 18.053,
17.6054, 17.8043, 18.3017, 18.5006, 18.4011, 18.2519, 17.8043,
17.9038, 17.9038, 17.9038, 17.8541, 17.9535, 17.9038, 17.9436,
18.0433, 18.1429, 18.1928, 17.8937, 17.4451, 17.8464, 17.4277,
17.2184, 17.48, 17.7417, 17.5847, 18.3174, 18.4221, 18.2651,
18.3697, 18.1604, 18.1081, 18.1081, 18.4744, 18.4221, 18.3174,
18.1604, 18.5791, 18.8931, 18.9978, 18.9978, 19.6781, 19.3118,
19.7305, 19.3641, 19.6258, 19.9398, 19.6781, 19.8875, 20.1491,
20.2538, 19.9398, 20.0445, 20.0445, 19.9921, 19.9921, 19.9921,
20.1491, 20.2538, 20.0968, 20.0445, 19.9921, 19.9921, 19.9398,
19.5734, 19.7305, 19.5211, 19.5734, 19.7305, 19.9398, 19.7305,
19.4688, 17.794, 19.2071, 18.5267, 18.4221, 18.6314, 19.0501,
18.9454, 19.1966, 18.9344, 18.7246, 18.5672, 18.0952, 18.0952,
18.0952, 18.0427, 18.3574, 18.2001, 18.4623, 18.3574, 18.3574,
18.0952, 17.7805, 17.6231, 17.6231, 17.9378, 18.0427, 17.7805,
17.5707, 17.6231, 17.9378, 17.8329, 17.4658, 17.256, 17.4133,
17.3084, 18.0427, 18.1476, 18.2525, 18.2001, 18.0952, 18.0427,
17.4658, 17.4133, 17.4133, 17.6231, 17.7805, 17.9378, 18.2001,
18.2001, 18.2001, 18.2525, 17.8329, 18.9344, 18.7246, 18.4099,
18.7246, 18.6197, 18.5148, 18.4623, 18.4099, 18.4099, 18.4623,
18.4099, 18.5148, 18.5148, 18.5148, 18.2001, 17.9903, 18.2001,
17.6756, 18.0952, 18.305, 18.4518, 18.3993, 18.557, 18.925, 18.8724,
18.9775, 19.0827, 18.8724, 18.8724, 18.7673, 18.9775, 18.925,
18.925, 18.6096, 18.7147, 18.8724, 18.8724, 18.8724, 19.0301,
19.1878, 19.4507, 19.0827, 19.4507, 19.3981, 19.6084, 19.6609,
19.8187, 19.7661, 19.0301, 18.5044, 18.6096, 18.6621, 18.4518,
18.5044, 18.7147, 18.3993, 18.189, 18.189, 18.189, 18.4518, 18.6096,
18.9775, 18.8198, 18.3467, 18.189, 18.0839, 18.2416, 18.2416,
18.0839, 18.2416, 18.5044, 18.557, 18.6096, 18.2941, 18.5044,
18.1364, 18.1364, 18.189, 17.9787, 18.189, 18.1364, 18.0839,
17.9262, 17.8736, 17.7684, 17.7579, 17.6525, 17.6525, 17.4945,
17.4418, 17.1783, 17.0202, 16.8621, 16.704, 16.704, 16.8621,
16.8094, 16.4406, 16.4406, 16.2825, 15.8609, 16.3352, 15.9136,
16.4406, 16.3352, 16.1771, 15.7029, 17.7052, 16.8621, 16.8094,
16.8094, 17.0729, 16.9148, 16.3879, 16.546, 17.4418, 17.231,
17.231, 16.8094, 16.9675, 17.1783, 16.8621, 16.6514, 16.3879,
16.3352, 16.5987, 16.3879, 16.3879, 16.6514, 16.019, 15.9136,
15.334, 15.334, 15.0178, 15.1759, 15.0178, 14.9124, 14.8598,
14.7017, 14.5963, 14.7017, 14.4382, 14.5436, 13.964, 14.122,
14.4382, 14.7544, 14.4382, 14.3328, 13.9113, 14.1115, 13.9529,
14.0058, 15.01, 15.01, 15.01, 14.7457, 14.3758, 14.2172, 14.5343,
14.4286, 14.8171, 14.6506, 14.4841, 14.3731, 14.0401, 13.4852,
13.8737, 13.3187, 13.9292, 13.8182, 13.4852, 13.3187)), row.names = c(NA,
-700L), class = c("tbl_df", "tbl", "data.frame"))
这个怎么样（通知我切换循环的顺序）
如果您遍历一个数字：
for (j in 1:498){
for (u in seq(0,5605-30,30))
{
work.on.col = j
work.dt = data[u:u+30,work.on.col] #u:u+30 iterates i.e: 0:30, 30:60,...etc. It only keeps a 30-day rolling window.
}
}
如果你迭代的日期（这将只有当你有你的rownames如日期工作）：
for (j in 1:498){
for (u in sapply(seq.Date(as.Date(min(data$Dates)), as.Date(max(data$Dates)),
"day")," [[",30))
{
work.on.col = j
work.dt = data[u:u+30,work.on.col]
}
}
下面R1是最后365行的平均值。 （请注意，这就是问这个问题了，但有没有在一年的数据为365天，因为它似乎周末缺少所以这不是去年的平均值。）
R2是每30天的最后365行的平均值。我再次怀疑这是你想要的东西，即使是发生了什么要求。
R3是过去12个月的平均值。据推测，这是你的实际需要。
每个这些是动物园对象。这可能是最好的留给他们作为动物园的对象，所以你可以使用该包装的其余部分很容易，而不是将它们转换成数据帧，但如果你想转换就用fortify.zoo(r1)等。
library(zoo)
z <- zoo(data[-1], data[[1]])
r1 <- rollapplyr(z, 365, mean, fill = NA)
r2 <- rollapplyr(z, 365, mean, by = 30, fill = NA)
z.ym <- aggregate(z, as.yearmon, sum)
z.n <- aggregate(z, as.yearmon, length)
r3 <- rollsumr(z.ym, 12, fill = NA) / rollsumr(z.n, 12, fill = NA)