私はRが初めてで、次の課題があります。
本当に暗い空がいつあるのかを視覚化するために、基本的に2種類の「ヒートマップ」を組み合わせた視覚化を作成したいと思います(天文学用)。このために、月の出と月の入りの時間と月の満ち欠けに基づいて月の明るさを視覚化するヒートマップが必要です。これで、太陽がいくらかの透明度で上昇している時間の「バンド」のようなヒートマップをプロットできます。これが視覚的に機能するのか、それとも他の解決策を見つける必要があるのか はわかりませんが、これは R をもう少し理解するための良い挑戦のようです。しかし、すべての 720 値を含むサイズ 24(時間) x 31(日) のマトリックスを既に読み込んでいるので、いくつかのポインターを使用できます。ベクトルから基本的な data.frame を作成しようとすると、行数に一貫性がないというエラーが表示されます。
さらに、いくつかのヒートマップの例が既に機能していますが、説明したように同じプロットでそれらの 2 つを組み合わせる方法がわかりません。
例として、現在の「ヒートマップ」をExcelにそのまま表示します
そしていくつかのデータ：
月
moon <- structure(list(X1.9.12 = structure(c(2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,
2L, 2L), .Label = c("0%", "100%"), class = "factor"), X2.9.12 = structure(c(2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 2L, 2L, 2L), .Label = c("0%", "98%"), class = "factor"),
X3.9.12 = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L
), .Label = c("0%", "94%"), class = "factor"), X4.9.12 = structure(c(2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L), .Label = c("0%", "89%"), class = "factor"),
X5.9.12 = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L
), .Label = c("0%", "82%"), class = "factor"), X6.9.12 = structure(c(2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L), .Label = c("0%", "74%"), class = "factor"),
X7.9.12 = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L
), .Label = c("0%", "65%"), class = "factor"), X8.9.12 = structure(c(2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0%", "56%"), class = "factor"),
X9.9.12 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L
), .Label = c("0%", "47%"), class = "factor"), X10.9.12 = structure(c(2L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("0%", "37%"), class = "factor"),
X11.9.12 = structure(c(2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L
), .Label = c("0%", "28%"), class = "factor"), X12.9.12 = structure(c(2L,
2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("0%", "20%"), class = "factor"),
X13.9.12 = structure(c(2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L
), .Label = c("0%", "12%"), class = "factor"), X14.9.12 = structure(c(2L,
2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L), .Label = c("0%", "6%"), class = "factor"),
X15.9.12 = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L
), .Label = c("0%", "2%"), class = "factor"), X16.9.12 = structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = "0%", class = "factor"),
X17.9.12 = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L
), .Label = c("0%", "1%"), class = "factor")), .Names = c("X1.9.12",
"X2.9.12", "X3.9.12", "X4.9.12", "X5.9.12", "X6.9.12", "X7.9.12",
"X8.9.12", "X9.9.12", "X10.9.12", "X11.9.12", "X12.9.12", "X13.9.12",
"X14.9.12", "X15.9.12", "X16.9.12", "X17.9.12"), class = "data.frame", row.names = c("0:00:00",
"1:00:00", "2:00:00", "3:00:00", "4:00:00", "5:00:00", "6:00:00",
"7:00:00", "8:00:00", "9:00:00", "10:00:00", "11:00:00", "12:00:00",
"13:00:00", "14:00:00", "15:00:00", "16:00:00", "17:00:00", "18:00:00",
"19:00:00", "20:00:00", "21:00:00", "22:00:00", "23:00:00"))
太陽
September
Day Sunrise Sunset
1 6:52 20:26
2 6:54 20:24
3 6:56 20:22
4 6:57 20:20
5 6:59 20:17
6 7:00 20:15
7 7:02 20:13
8 7:04 20:10
9 7:05 20:08
10 7:07 20:06
11 7:08 20:05
12 7:09 20:02
13 7:11 20:00
14 7:13 19:58
15 7:14 19:55
16 7:16 19:53
17 7:17 19:51
18 7:19 19:48
19 7:21 19:46
20 7:22 19:44
21 7:25 19:40
22 7:26 19:38
23 7:28 19:35
24 7:30 19:33
25 7:31 19:31
26 7:33 19:28
27 7:35 19:26
28 7:36 19:24
29 7:38 19:21
30 7:40 19:19