У меня есть данные, и я пытаюсь нанести на них abline. У меня есть код:
par(mfrow = c(1, 1))
plot(as.zoo(data))
ablinelines <- Map(
abline,
a = abdata$a_data,
b = abdata$b_data
)
Но я бы хотел, чтобы длина abline s не охватывала всю область графика. Подобный вопрос был задан здесь с использованием регрессий. Решения предложили использовать predict, но у меня нет линейных моделей. Другие решения предложили использовать clip(x1,x2, y1,y2). Другой предложил ablineclip() из пакета library(plotrix).
Этот код использует ablineclip() без каких-либо ограничений по длине на abline:
par(mfrow = c(1, 1))
plot(as.zoo(data))
ablinelines <- Map(
plotrix::ablineclip,
a = abdata$a_data,
b = abdata$b_data
)
Но когда я пытаюсь сделать следующее:
par(mfrow = c(1, 1))
plot(as.zoo(data))
ablinelines <- Map(
plotrix::ablineclip,
a = abdata$a_data,
b = abdata$b_data,
x1 = 1, x2 = 40, y1 = 1, y2 = 2
)
Нет строк Нарисуйте.
Я хочу нарисовать abline с максимальной длиной, скажем, 10 дней, чтобы у меня было такое же количество линий, как сейчас, но намного короче. Я также видел, как используется segment, но положение линий со временем меняется на моем графике.
Мои данные:
data <- structure(c(100.899391, 102.160881, 102.01532, 102.257912, 102.733398,
102.47139, 102.665474, 105.275772, 105.82888, 106.110291, 108.507118,
108.313049, 109.244606, 109.419266, 108.041328, 106.80896, 105.625107,
104.625633, 105.139915, 105.896812, 105.906525, 104.373322, 103.868736,
103.499992, 103.742592, 101.617477, 97.50309, 94.310562, 95.115967,
95.475014, 97.357521, 96.600639, 94.960701, 94.689011, 94.097076,
89.662468, 86.295273, 86.363213, 85.509277, 86.741653, 87.90609,
88.032249, 90.322319, 89.681877, 89.216103, 89.245216, 90.564911,
90.846321, 89.274323, 88.740608, 89.216103, 88.905579, 89.293716,
91.127747, 89.701294, 89.565437, 89.681877, 89.846832, 90.720169,
90.186478, 93.194626, 92.505669, 93.543961, 93.340187, 91.388885,
91.564507, 89.730286, 88.949768, 88.881477, 89.31076, 88.559517,
88.979042, 86.998474, 87.417999, 86.042343, 84.578865, 83.856888,
81.749489, 85.008156, 87.144814, 86.666756, 87.642403, 87.7985,
84.949615, 88.247299, 88.666824, 89.574188, 89.496124, 91.340111,
92.306, 91.68158, 91.457176, 91.057167, 92.51088, 94.218262,
94.159729, 93.154808, 93.642639, 94.832924, 95.457336, 96.345177,
99.711151, 101.906364, 101.92588, 101.145363, 102.218567, 101.564888,
100.520943, 100.316055, 99.516029, 101.545387, 101.867348, 101.418533,
102.345406, 102.423462, 103.83815, 103.038116, 104.335724, 105.311378,
104.24791, 105.155273, 105.408936, 107.038269, 106.726067, 106.696655,
105.8536, 105.667336, 106.26532, 107.000549, 108.38279, 107.804405,
107.951454, 108.03968, 109.402306, 110.059105, 107.814209, 109.049393,
106.843704, 107.226021, 108.67688, 108.912148, 110.794342, 110.774742,
111.451141, 110.862968, 111.039413, 111.353119, 111.794258, 111.666824,
110.402222, 111.519775, 112.098145, 114.019547, 113.745064, 114.078377,
111.40213, 111.137451, 111.647202, 113.715668, 108.618065, 106.324142,
107.029953, 107.451492, 108.471008, 106.38295, 107.451492, 109.225845,
107.265236, 104.726242, 104.12825, 103.461647, 104.157661, 101.716705,
101.363777, 101.001068, 100.765808, 99.658058, 97.952316, 99.491394,
98.618927, 97.726852, 99.26593, 99.795296, 100.520729, 101.59906,
102.010788, 103.696922, 106.151344, 107.570763, 108.773338, 110.547615,
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110.094193, 111.30661, 112.065613, 113.356895, 113.918747, 111.610466,
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128.194504, 129.432861, 132.068085, 130.790115, 131.434052, 132.583237,
132.216705, 132.642685, 130.988251, 130.621689, 130.849548, 129.898468,
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130.177795, 130.028534, 129.560806, 131.312286, 131.28244, 132.227844,
132.576157, 132.436844, 130.973938, 130.346985), index = structure(c(1536019200,
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"zoo"), src = "yahoo", updated = structure(1585497458.94365, class = c("POSIXct",
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abdata <- structure(c(4090.52717646853, 3977.4574200542, 3854.39942019735,
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