我正在尝试使用 zelig r 包来做一些预测和模拟图：
dput(x)
structure(list(Date = structure(c(14640, 14668, 14699, 14729,
14760, 14790, 14821, 14852, 14882, 14913, 14943, 14974, 15005,
15033, 15064, 15094, 15125, 15155, 15186, 15217, 15247, 15278,
15308, 15339, 15370, 15399, 15430, 15460, 15491, 15521, 15551,
15582, 15611), class = "Date"), Records = c(44560938, 40227158,
46674885, 45379535, 47051792, 51301979, 47659151, 50002855, 47952955,
49681927, 51569764, 58513754, 62200793, 54645673, 61465915, 57829119,
58410815, 64874812, 59066293, 71056318, 67101651, 62214988, 63183320,
66750198, 61483322, 67546775, 75290893, 60713372, 77879142, 70290302,
83201853, 83837301, 68110825)), .Names = c("Date", "Records"), class = "data.frame", row.names = c(NA,
33L))
当我这样做时：
z.out1 <- zelig(Records~Date, model = "logit", data = x)
我得到所有这些错误：
The following object(s) are masked from 'env (position 4)':
..., data, formula, robust, w, weights
The following object(s) are masked from 'env (position 6)':
..., data, formula, robust, w, weights
The following object(s) are masked from 'env (position 8)':
..., data, formula, robust, w, weights
The following object(s) are masked from 'env (position 10)':
..., data, formula, robust, w, weights
The following object(s) are masked from 'env (position 12)':
..., data, formula, robust, w, weights
The following object(s) are masked from 'd.f (position 4)':
Date, Records
The following object(s) are masked from 'd.f (position 6)':
Date, Records
The following object(s) are masked from 'd.f (position 8)':
Date, Records
The following object(s) are masked from 'd.f (position 10)':
Date, Records
The following object(s) are masked from 'd.f (position 12)':
Date, Records
Error in eval(expr, envir, enclos) : y values must be 0 <= y <= 1
有人用zelig处理时间序列数据吗？