私は、2つの異なるカテゴリーによるヌクレオチドのシーケンス（A、T、C、およびGの順序付けられた文字シーケンス）にわたる存在量に関するデータを持っています。ggplotを使用して、カバレッジをシーケンス全体の折れ線グラフとして表示したいと思います。私はかなり遠くまで来て、ジャンプするためのハードルがあと少しあります。サンプルデータ：
> dput(so.sample)
structure(list(`1_mes_wt` = c(0, 0, 4.25897346349789, 10.0666645500859,
10.0666645500859, 48.3974257215669, 78.2102399660521, 250.698665237717,
250.698665237717, 268.702507606139, 271.79994285232, 301.225577691032,
301.225577691032, 301.225577691032, 301.225577691032, 311.292242241118,
311.292242241118, 311.292242241118, 311.292242241118, 311.292242241118,
311.292242241118, 311.292242241118, 311.292242241118, 311.292242241118,
311.292242241118, 311.292242241118, 311.292242241118, 321.746086196977,
321.746086196977, 321.746086196977, 319.616599465228, 308.969165806483,
285.931991163017, 204.817905653671, 195.332010212244, 170.165348837029,
170.165348837029, 170.165348837029, 170.165348837029, 37.3628126570497,
40.8474273090025, 22.456405534807, 22.456405534807, 17.8102526655366,
17.8102526655366, 17.8102526655366, 17.8102526655366, 17.8102526655366,
17.8102526655366, 17.8102526655366, 17.8102526655366, 15.6807659337877,
15.6807659337877, 15.6807659337877, 15.6807659337877, 15.6807659337877,
15.6807659337877, 15.6807659337877, 15.6807659337877, 15.6807659337877,
15.6807659337877, 15.6807659337877, 15.6807659337877, 15.6807659337877,
15.6807659337877, 15.6807659337877, 5.22692197792922, 5.22692197792922,
5.22692197792922, 5.22692197792922, 5.22692197792922, 5.22692197792922,
5.22692197792922, 5.22692197792922, 5.22692197792922, 5.22692197792922,
5.22692197792922, 1.74230732597641, 1.93589702886268, 1.93589702886268,
4.25897346349789, 2.71025584040775, 2.71025584040775, 68.5307548217387,
89.6320324363419, 90.0192118421144, 93.310236791181, 93.1166470882947,
93.5038264940673, 93.8910058998398, 93.8910058998398, 93.8910058998398,
93.8910058998398, 93.8910058998398, 93.8910058998398, 93.8910058998398,
93.8910058998398, 93.8910058998398, 93.8910058998398, 93.8910058998398,
93.8910058998398, 93.8910058998398, 93.8910058998398, 93.8910058998398,
93.8910058998398, 93.6974161969535, 93.6974161969535, 93.6974161969535,
93.6974161969535, 93.6974161969535, 93.6974161969535, 93.6974161969535,
93.6974161969535, 93.6974161969535, 89.2448530305694, 77.2422914516208,
1.16153821731761, 0, 0, 0, 0), `2_mes_wt` = c(0, 0, 13.3249362857652,
41.0267775114349, 41.3774337294814, 100.988990797378, 100.988990797378,
341.188500159198, 343.643093685523, 359.422623497613, 381.163309016493,
450.242583971645, 450.242583971645, 450.242583971645, 450.242583971645,
450.242583971645, 450.242583971645, 450.242583971645, 450.242583971645,
450.242583971645, 450.242583971645, 450.242583971645, 450.242583971645,
450.242583971645, 450.242583971645, 450.242583971645, 450.242583971645,
450.242583971645, 450.242583971645, 450.242583971645, 450.242583971645,
426.047304926439, 366.085091640496, 308.928128098924, 201.977981594756,
201.977981594756, 205.133887557174, 205.133887557174, 205.133887557174,
85.5601172033343, 98.8850534890995, 17.1821546842762, 17.1821546842762,
17.1821546842762, 17.1821546842762, 17.1821546842762, 17.1821546842762,
16.8314984662297, 16.8314984662297, 16.8314984662297, 16.8314984662297,
50.8451516167356, 52.5984327069678, 52.5984327069678, 52.5984327069678,
52.5984327069678, 52.5984327069678, 52.5984327069678, 52.5984327069678,
52.5984327069678, 52.5984327069678, 52.5984327069678, 52.5984327069678,
52.5984327069678, 52.5984327069678, 52.5984327069678, 52.5984327069678,
52.5984327069678, 52.5984327069678, 52.5984327069678, 52.5984327069678,
52.5984327069678, 52.5984327069678, 52.5984327069678, 52.5984327069678,
52.5984327069678, 52.5984327069678, 39.2734964212026, 37.5202153309704,
42.0787461655743, 54.7023700152465, 54.7023700152465, 54.7023700152465,
113.261958429004, 114.313927083143, 114.313927083143, 116.067208173376,
82.0535550228698, 82.0535550228698, 82.0535550228698, 82.0535550228698,
82.0535550228698, 82.0535550228698, 82.0535550228698, 82.0535550228698,
82.0535550228698, 82.0535550228698, 82.0535550228698, 82.0535550228698,
82.0535550228698, 82.0535550228698, 82.0535550228698, 82.0535550228698,
82.0535550228698, 82.0535550228698, 82.0535550228698, 82.0535550228698,
82.0535550228698, 82.0535550228698, 82.0535550228698, 82.0535550228698,
82.0535550228698, 82.0535550228698, 82.0535550228698, 74.3391182258479,
63.4687754664078, 0, 0, 0, 0, 0), nucl = 47738064:47738184, base = c("T",
"C", "A", "A", "A", "A", "A", "A", "G", "A", "C", "T", "A", "G",
"T", "C", "A", "A", "G", "T", "G", "C", "A", "G", "T", "A", "G",
"T", "G", "A", "G", "A", "A", "G", "G", "G", "G", "G", "G", "A",
"A", "A", "G", "T", "G", "T", "A", "G", "A", "A", "C", "A", "G",
"G", "A", "G", "T", "T", "C", "A", "A", "T", "C", "T", "G", "T",
"A", "A", "C", "T", "G", "A", "C", "T", "G", "T", "G", "A", "A",
"C", "A", "A", "T", "C", "A", "A", "T", "T", "G", "A", "G", "A",
"T", "A", "A", "C", "T", "C", "A", "C", "T", "A", "C", "C", "T",
"T", "C", "G", "G", "A", "C", "C", "A", "G", "C", "C", "A", "A",
"T", "G", "C")), .Names = c("1_mes_wt", "2_mes_wt", "nucl", "base"
), row.names = c(NA, -121L), class = "data.frame")
シーケンス（ベース）とシーケンス位置（nucl）の両方を表示するには、位置を係数としてプロットし、テキストgeomを使用して軸にシーケンスのラベルを付けます。それはかなりうまく機能します：
pdf("so_sample.pdf",width=15,height=7)
ggplot(melt(so.sample,id.vars=c("nucl","base")), aes(factor(nucl),
value, group=variable, colour=variable)) +
geom_line() + geom_text(y=-5,size=3,aes(label=base))
dev.off()
ただし、これらの大きな数値を要因としてプロットすると、大きな重複が発生するため、とにかく各位置ラベルを確認する必要はありません。だから私はいくつかの休憩を削除します。
pdf("so_sample2.pdf",width=15,height=7)
ggplot(melt(so.sample,id.vars=c("nucl","base")), aes(factor(nucl),
value, group=variable, colour=variable)) +
geom_line() + geom_text(y=-5,size=3,aes(label=base)) +
scale_x_discrete(breaks=seq(min(so.sample$nucl),
max(so.sample$nucl),10))
dev.off()
私はもうすぐそこにいますが、区切りを削除する際に、文字シーケンスと一緒に特に役立つマイナーグリッドラインも削除しました。で指定されたブレークとは関係なく、マイナーグリッドラインを追加する方法はありますscale_x_discreteか？
そして、1つの副次的な質問：シーケンスのラベル付けは、グループごとにまったく同じ位置に同じ文字をプロットし、これらのラベルの最終的な色はグループをプロットする順序によって決定されるため、機能します。geom_textシーケンスはニュートラルカラーにすることをお勧めしますが、グループ化とは無関係にこれらの値を指定することさえ可能かどうかはわかりません。