在没有随机条ggplot的情况下增加线宽
Increase line width without stochastic bars ggplot
有谁知道是否可以在不添加突出的随机线条的情况下以平滑的方式增加 ggplot2 中的线条宽度？这是我原来的线图，大小增加到 5:
> ggplot(curve.df, aes(x=recall, y=precision, color=cutoff)) +
> geom_line(size=1)
理想情况下，最终图像看起来类似于 PRROC 包中的下图，但我在从那里绘图时遇到另一个问题，即网格线和 ablines 与轴刻度线不对应。
这里是我第一次打电话
> grid()
然后调用
> abline(v=seq(0,1,.2), h=seq(0,1,.2))
老实说，如果能用更宽的线绘制这条曲线以查看清晰的颜色和对应于轴刻度线的网格，我将不胜感激。谢谢！
这是截止点 .5 到 .7 的数据样本：
> dput(output)
structure(list(recall = c(0.0237648530331457, 0.024390243902439,
0.0250156347717323, 0.0256410256410256, 0.0256410256410256, 0.0268918073796123,
0.0275171982489056, 0.0281425891181989, 0.0293933708567855, 0.0300187617260788,
0.0300187617260788, 0.0300187617260788, 0.0306441525953721, 0.0312695434646654,
0.0312695434646654, 0.0312695434646654, 0.0318949343339587, 0.0318949343339587,
0.0318949343339587, 0.032520325203252, 0.0331457160725453, 0.0331457160725453,
0.0337711069418387, 0.034396497811132, 0.034396497811132, 0.0350218886804253,
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0.506329113924051, 0.505747126436782, 0.5)), .Names = c("recall",
"precision", "cutoff"), row.names = 55:287, class = "data.frame")
ggplot 不能用多种颜色绘制单条线。您的绘图的 "stochastic" 位实际上是超小短线（比它们长得多粗）的顶部和底部连接点，这些连接点在 cutoff 中足够靠近以共享相同的颜色。
幸运的是，您的数据非常密集，实际上不需要线图。我们可以绘制点，所有问题都会消失——如果我们把它们做得足够大，这似乎就是你想要的。 （如果您放大提供的数据摘录，您会看到各个点，但我扩大了限制以显示您实际使用的绘图大小的数据密度。相邻点之间 recall 的平均差异是 .00054，所以在 0 到 1 的范围内，你的数据非常密集！）
我还展示了一个带有 loess 平滑器的版本 - 您当然可以使用带宽来实现或多或少的平滑。这可能是也可能不是更可取的。
raw_plot = ggplot(df, aes(recall, precision, color = cutoff)) +
geom_point(size = 3) +
coord_fixed(xlim = c(0, 1), ylim = c(0, 1)) +
labs(title = "Raw")
df$smooth = predict(loess(precision ~ recall, data = df))
smooth_plot = ggplot(df, aes(recall, smooth, color = cutoff)) +
geom_point(size = 3) +
coord_fixed(xlim = c(0, 1), ylim = c(0, 1)) +
labs(title = "Smooth")
gridExtra::grid.arrange(raw_plot, smooth_plot, nrow = 1)
设定lineend = "round"大大提升了剧情
ggplot(curve.df, aes(x = recall, y = precision, color = cutoff)) +
geom_line(size = 5, lineend = "round")
有谁知道是否可以在不添加突出的随机线条的情况下以平滑的方式增加 ggplot2 中的线条宽度？这是我原来的线图，大小增加到 5:
> ggplot(curve.df, aes(x=recall, y=precision, color=cutoff)) +
> geom_line(size=1)
理想情况下，最终图像看起来类似于 PRROC 包中的下图，但我在从那里绘图时遇到另一个问题，即网格线和 ablines 与轴刻度线不对应。
这里是我第一次打电话
> grid()
然后调用
> abline(v=seq(0,1,.2), h=seq(0,1,.2))
老实说，如果能用更宽的线绘制这条曲线以查看清晰的颜色和对应于轴刻度线的网格，我将不胜感激。谢谢！
这是截止点 .5 到 .7 的数据样本：
> dput(output)
structure(list(recall = c(0.0237648530331457, 0.024390243902439,
0.0250156347717323, 0.0256410256410256, 0.0256410256410256, 0.0268918073796123,
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0.0312695434646654, 0.0312695434646654, 0.0318949343339587, 0.0318949343339587,
0.0318949343339587, 0.032520325203252, 0.0331457160725453, 0.0331457160725453,
0.0337711069418387, 0.034396497811132, 0.034396497811132, 0.0350218886804253,
0.0356472795497186, 0.0356472795497186, 0.0362726704190119, 0.0362726704190119,
0.0362726704190119, 0.0387742338961851, 0.0387742338961851, 0.0387742338961851,
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0.042526579111945, 0.0431519699812383, 0.0431519699812383, 0.0437773608505316,
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0.463592233009709, 0.463942307692308, 0.462829736211031, 0.463007159904535,
0.464285714285714, 0.463182897862233, 0.462264150943396, 0.460093896713615,
0.456876456876457, 0.455813953488372, 0.454965357967667, 0.456221198156682,
0.457858769931663, 0.461538461538462, 0.460496613995485, 0.458426966292135,
0.453333333333333, 0.452328159645233, 0.45374449339207, 0.452747252747253,
0.453947368421053, 0.451965065502183, 0.453362255965293, 0.455723542116631,
0.456896551724138, 0.455913978494624, 0.459401709401709, 0.460554371002132,
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0.458248472505092, 0.456389452332657, 0.456565656565657, 0.455645161290323,
0.455823293172691, 0.454909819639279, 0.449248120300752), cutoff = c(0.7,
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0.53125, 0.529411764705882, 0.528571428571429, 0.527777777777778,
0.527272727272727, 0.527027027027027, 0.526315789473684, 0.525641025641026,
0.525, 0.524590163934426, 0.524390243902439, 0.523255813953488,
0.523076923076923, 0.522388059701492, 0.521739130434783, 0.52112676056338,
0.520547945205479, 0.52, 0.519480519480519, 0.518987341772152,
0.518518518518518, 0.518072289156627, 0.517647058823529, 0.515151515151515,
0.514285714285714, 0.513888888888889, 0.513513513513513, 0.513157894736842,
0.512820512820513, 0.5125, 0.51219512195122, 0.511627906976744,
0.508196721311475, 0.507692307692308, 0.507462686567164, 0.507246376811594,
0.507042253521127, 0.506849315068493, 0.506666666666667, 0.506493506493506,
0.506329113924051, 0.505747126436782, 0.5)), .Names = c("recall",
"precision", "cutoff"), row.names = 55:287, class = "data.frame")
ggplot 不能用多种颜色绘制单条线。您的绘图的 "stochastic" 位实际上是超小短线（比它们长得多粗）的顶部和底部连接点，这些连接点在 cutoff 中足够靠近以共享相同的颜色。
幸运的是，您的数据非常密集，实际上不需要线图。我们可以绘制点，所有问题都会消失——如果我们把它们做得足够大，这似乎就是你想要的。 （如果您放大提供的数据摘录，您会看到各个点，但我扩大了限制以显示您实际使用的绘图大小的数据密度。相邻点之间 recall 的平均差异是 .00054，所以在 0 到 1 的范围内，你的数据非常密集！）
我还展示了一个带有 loess 平滑器的版本 - 您当然可以使用带宽来实现或多或少的平滑。这可能是也可能不是更可取的。
raw_plot = ggplot(df, aes(recall, precision, color = cutoff)) +
geom_point(size = 3) +
coord_fixed(xlim = c(0, 1), ylim = c(0, 1)) +
labs(title = "Raw")
df$smooth = predict(loess(precision ~ recall, data = df))
smooth_plot = ggplot(df, aes(recall, smooth, color = cutoff)) +
geom_point(size = 3) +
coord_fixed(xlim = c(0, 1), ylim = c(0, 1)) +
labs(title = "Smooth")
gridExtra::grid.arrange(raw_plot, smooth_plot, nrow = 1)
设定lineend = "round"大大提升了剧情
ggplot(curve.df, aes(x = recall, y = precision, color = cutoff)) +
geom_line(size = 5, lineend = "round")