归一化函数未提供预期的输出:

时间:2019-07-12 12:39:58

标签: r

我有一些价格数据,我正在尝试将数据标准化。我首先尝试应用以下功能。

divs_normalised <- divs %>%
  filter(date >= "1998-09-24") %>%
  group_by(symbol) %>%
  mutate(norm = 1*dividends/first(dividends))


ggplot(divs_normalised, aes(x = date)) +
  geom_point(aes(y = norm, color = symbol, group = symbol), shape = 8)

情节不正确。这些点应该从0开始,但是其中一些从更高开始……我在这里哪里出错了?在没有运气的情况下,我尝试了一些标准化函数。

如果需要,我可以提供其他标准化功能。我的归一化功能正确吗?

数据:

divs <- structure(list(symbol = c("EBAY", "EBAY", "MSFT", "MSFT", "MSFT", 
"MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", 
"MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", 
"MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", 
"MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", 
"MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", 
"MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", 
"MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", "MSFT", 
"MSFT", "MSFT", "MSFT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", 
"TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", 
"TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", 
"TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", 
"TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", 
"TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", 
"TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", 
"TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", 
"TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", 
"TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", 
"TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", 
"TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", 
"TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", 
"TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", 
"TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", 
"TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", "TGT", 
"TGT", "TGT", "TGT", "TGT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", "WMT", 
"WMT", "WMT", "WMT", "WMT", "JCP", "JCP", "JCP", "JCP", "JCP", 
"JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", 
"JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", 
"JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", 
"JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", 
"JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", 
"JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", 
"JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", 
"JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", 
"JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", 
"JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", 
"JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", 
"JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", 
"JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", 
"JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "JCP", "M", "M", "M", 
"M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", 
"M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", 
"M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", 
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"M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "ORCL", "ORCL", 
"ORCL", "ORCL", "ORCL", "ORCL", "ORCL", "ORCL", "ORCL", "ORCL", 
"ORCL", "ORCL", "ORCL", "ORCL", "ORCL", "ORCL", "ORCL", "ORCL", 
"ORCL", "ORCL", "ORCL", "ORCL", "ORCL", "ORCL", "ORCL", "ORCL", 
"ORCL", "ORCL", "ORCL", "ORCL", "ORCL", "ORCL", "ORCL", "ORCL", 
"ORCL", "ORCL", "ORCL", "ORCL", "ORCL", "ORCL", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", 
"IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "IBM", "ODP", 
"ODP", "ODP", "ODP", "ODP", "ODP", "ODP", "ODP", "ODP", "ODP", 
"ODP", "ODP", "ODP"), date = structure(c(17955, 18046, 12102, 
12340, 12653, 12737, 12829, 12919, 13010, 13102, 13194, 13283, 
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16664, 16755, 16843, 16937, 17028, 17119, 17210, 17301, 17392, 
17484, 17582, 17666, 17757, 17855, 17946, 18030, 1532, 1713, 
1895, 1999, 2076, 2164, 2266, 2363, 2437, 2533, 2636, 2727, 2801, 
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4912, 4988, 5087, 5191, 5279, 5353, 5454, 5555, 5646, 5717, 5818, 
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6913, 7015, 7102, 7179, 7278, 7382, 7466, 7543, 7642, 7746, 7831, 
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    dividends = c(0.14, 0.14, 0.08, 0.16, 0.08, 0.08, 0.08, 0.08, 
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0 个答案:

没有答案