R ggplot2中不同线型的图例条目

我有一个带有时间序列的xts，我想用ggplot2绘制衰退阴影：

time_series <- structure(c(0.114371630096418, 0.0959437177384127, 0.0892187992740256, 
0.0970998619801513, 0.126570281457749, 0.152017434450243, 0.195226296492682, 
0.195226296492682, 0.240935556451006, 0.226439918555576, 0.220381548212407, 
0.184229872903372, 0.208547731106556, 0.232591227902563, 0.222390611713699, 
0.168474695231925, 0.180651769489803, 0.216394789725435, 0.236743172952677, 
0.224410081456199, 0.24944010021399, 0.255921698957159, 0.280418001317228, 
0.260291087808842, 0.243046794567485, 0.216394789725435, 0.222390611713699, 
0.173627348371412, 0.212450094101026, 0.247299117394844, 0.247299117394844, 
0.243046794567485, 0.296576006791088, 0.195226296492682, 0.0739492075758969, 
0.0599529146786092, 0.0545230693645596, 0.0376790633800645, 0.0310087841277313, 
0.0245579879837868, 0.0474493761315668, 0.0947977293359985, 0.113069744578606, 
0.126570281457749, 0.123784095774292, 0.109227635573913, 0.101826721850442, 
0.110497775611901, 0.113069744578606, 0.07879990317384, 0.118341214689216, 
0.109227635573913, 0.129399853193971, 0.197097061597578, 0.228480082977696, 
0.24944010021399, 0.289598980032393, 0.251590894137366, 0.21838292868743, 
0.145744037351592, 0.129399853193971, 0.127979634360533, 0.0591522546091451, 
0.0666671990930106, 0.0758613710881861, 0.0947977293359985, 0.0675458780275329, 
0.0702356462017933, 0.067545878027533, 0.0666671990930107, 0.0903145795070023, 
0.0914203233167599, 0.0768314638658693, 0.083887928052527, 0.0711503103447975, 
0.0599529146786092, 0.0624058796726778, 0.0583600050264987, 0.0649364078311387, 
0.0797983411381213, 0.0797983411381213, 0.0903145795070023, 0.0959437177384127, 
0.107968019559137, 0.121041132459971, 0.111778469059525, 0.111778469059525, 
0.123784095774292, 0.114371630096418, 0.109227635573913, 0.110497775611901, 
0.123784095774292, 0.138150318240886, 0.148858653000689, 0.136664548643223, 
0.130830956316472, 0.126570281457749, 0.136664548643223, 0.136664548643223, 
0.16175910086637, 0.189679070866325, 0.186035349455969, 0.193366361975197, 
0.204687952218995, 0.202774105415267, 0.195226296492682, 0.200870990685662, 
0.189679070866325, 0.175366949956961, 0.182435341187907, 0.18785175456929, 
0.180651769489803, 0.18785175456929, 0.191517279865218, 0.200870990685662, 
0.222390611713699, 0.258101598840969, 0.24944010021399, 0.271380287723942, 
0.271380287723942, 0.273626046782979, 0.262490107523433, 0.243046794567485, 
0.25375144536458, 0.243046794567485, 0.251590894137366, 0.262490107523433, 
0.25375144536458, 0.280418001317228, 0.332558046369618, 0.294241783594681, 
0.271380287723942, 0.305996593613646, 0.303629048682681, 0.264698598520289, 
0.284990860254423, 0.275880963018297, 0.385570877920714, 0.424862883042023, 
0.377837808330227, 0.367603218284351, 0.372709280167838, 0.320369785169131, 
0.271380287723942, 0.177117561413446, 0.103034183203958, 0.0778109592512763, 
0.144203274777203, 0.135189742076843, 0.155220422304151, 0.148858653000689, 
0.133725884562701, 0.180651769489803, 0.21838292868743, 0.208547731106556, 
0.210493604879707, 0.275880963018297, 0.287290548201947, 0.289598980032393, 
0.291916083075709, 0.260291087808842, 0.273626046782979, 0.282699987786792, 
0.278144970279619, 0.320369785169131, 0.362520453660103, 0.320369785169131, 
0.271380287723942, 0.32279252448619, 0.271380287723942, 0.305996593613646, 
0.409032789024476, 0.411661592996846, 0.320369785169131, 0.31314770131078, 
0.362520453660103, 0.380410234322597, 0.357461804985005, 0.31075600145678, 
0.236743172952677, 0.155220422304151, 0.126570281457749, 0.114371630096418, 
0.135189742076843, 0.119685804438398, 0.100629593548148, 0.083887928052527, 
0.0702356462017934, 0.0739492075758969, 0.0508884379854992, 0.0202450317854657, 
0.0234132440327757, 0.0399527266613274, 0.0261570516123136, 0.053045315508087, 
0.0936618594829083, 0.0632407023912572, 0.0808063182134509, 0.07879990317384, 
0.067545878027533, 0.0429502764603963, 0.0155071737758071, 0.00897916213950511, 
0.022675296201573, 0.0180392981373203, 0.0192731865997715, 0.0282774247339051, 
0.0314845776287238, 0.028718227137715, 0.044834364121709, 0.0552740582232772, 
0.0758613710881861, 0.0982661987491518, 0.129399853193971, 0.130830956316472, 
0.200870990685662, 0.243046794567485, 0.226439918555577, 0.411661592996846, 
0.569703735802906, 0.669776038653489, 0.652459280159517, 0.448829054350419, 
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0.0265701491262988, 0.0142370064140275, 0.00983268806341939, 
0.0168734025275819, 0.0423366535500467, 0.0405382337008727, 0.0376790633800645, 
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0.0123911233065345, 0.0189581766709391, 0.0147338960773301, 0.0139940213595224, 
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0.00983268806341939, 0.017448036713583, 0.0257493384307016, 0.0310087841277313, 
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0.0649364078311387, 0.0739492075758969, 0.0684334791681454, 0.0545230693645596, 
0.0467844340529523, 0.0417301421309808, 0.0560331930253787, 0.064084194751024, 
0.0936618594829083, 0.210493604879707, 0.195226296492682, 0.296576006791088, 
0.354941776511928, 0.401171341556576, 0.393349704836979, 0.430167966199233, 
0.409032789024476, 0.430167966199232, 0.375270788369628, 0.411661592996846, 
0.464916510200114, 0.58294153488193, 0.700967941866677, 0.637357059200518, 
0.756850963848194, 0.652459280159517, 0.454183522899264, 0.891971372881761, 
0.773461763064138, 0.0666671990930107, 0.012175643652176, 0.028718227137715, 
0.0399527266613274, 0.104252011131161, 0.305996593613646, 0.614304217893127, 
0.915014692542477, 0.891971372881761, 0.746143937473896, 0.3985595567757, 
0.339957965624268, 0.857252823500678, 0.667323301955971, 0.513418354056404, 
0.486451424792063, 0.200870990685662, 0.0657973924375173, 0.016592206260383, 
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0.0241712962183924, 0.0171586641628859, 0.0135187590047452, 0.00865636405338004, 
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0.0300750395672853, 0.0319663901892977, 0.0632407023912572, 0.106718897466548, 
0.104252011131161, 0.0702356462017934, 0.067545878027533, 0.07879990317384, 
0.0632407023912572, 0.0265701491262988, 0.0261570516123136, 0.0441990767676171, 
0.0684334791681453, 0.0624058796726778, 0.0615796752526519, 0.0615796752526519, 
0.0212581098002395, 0.00789350737832702, 0.0117544105368067, 
0.0111462866235445, 0.0119634192702049, 0.00692503145842083, 
0.00335118085573927, 0.00519544753190765, 0.00471104699817386, 
0.00931245631566063, 0.016041829043891, 0.0130574947558983, 0.010193451291651, 
0.00983268806341939, 0.0186475566919186, 0.0230417822723115, 
0.0282774247339051, 0.0552740582232772, 0.0808063182134507, 0.109227635573913, 
0.130830956316473, 0.165094793320405, 0.197097061597577, 0.216394789725435, 
0.218382928687431, 0.238834333218926, 0.305996593613647, 0.303629048682681, 
0.287290548201947, 0.236743172952678, 0.251590894137366, 0.294241783594681, 
0.287290548201947, 0.210493604879707, 0.180651769489803, 0.18785175456929, 
0.133725884562701, 0.133725884562701, 0.177117561413446, 0.160107841199451, 
0.0970998619801513, 0.0730070429509751, 0.0711503103447975, 0.0936618594829083, 
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0.0209157549361006, 0.0144836171004844, 0.012175643652176, 0.0126098981650079, 
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0.00692503145842083, 0.00461914780374578, 0.00267101154354514, 
0.00267101154354514, 0.0016349685458251, 0.00153104564798499, 
0.00216365539384172, 0.00202947675674532, 0.00290240458251202, 
0.0026158296680259, 0.00163496854582511, 0.00159963439461944, 
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0.127979634360533, 0.178879171897708, 0.195226296492682, 0.224410081456199, 
0.228480082977696, 0.200870990685662, 0.18785175456929, 0.195226296492682, 
0.220381548212408, 0.224410081456199, 0.236743172952678, 0.289598980032394, 
0.210493604879707, 0.240935556451006, 0.275880963018297, 0.24944010021399, 
0.212450094101026, 0.170181212833596, 0.153613400649759, 0.130830956316472, 
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我知道，通常您只会使用一个

geom_line（）

，然后将

group=in_sample

或

linetype=in_sample

之类的内容添加到

aes（）

中，以自动创建不同线型的图例，但这给了我一个错误：

Error: Continuous value supplied to discrete scale

所以，我的问题是：如何为我的图例添加虚线的单独图例条目

---

编辑：关于如何改进/清理

ggplot

代码的任何建议都是受欢迎的。

您可以使用以下内容：

ggplot(time_series, aes(x = Index, y = predict_rec)) +
  geom_line(aes(lty = factor(in_sample)), size = 0.7) +
  geom_rect(data = recession_dates, aes(xmin = start, xmax = end, ymin = -Inf, ymax = Inf, fill = "NBER recession"), alpha = 0.5, inherit.aes = FALSE) +
  scale_linetype_manual(NULL, values = c("dashed", "solid"), labels = c("Out-of-sample", "In-sample")) +
  scale_fill_manual(NULL, values = "grey50") +
  theme(legend.key.height = unit(3, "mm")) + ylab("Name") + xlab(NULL)

我引入了许多更改，主要是为了简化代码。至于错误，问题是样本中的

是一个数字变量，而我们需要一个因子。其他一些评论：


与其重复，比如说，
keyheight=unit（3，“mm”）
，我们可以在
主题中只提及一次

两条
geom_线
除了线型外，其他都是相同的。我们可以只使用一条
geom\u线
和
aes（lty=系数（在样本中））
，然后使用
scale\u线型手册
设置值
“黑色”
已经是默认颜色，除非我们使用颜色美学
由于
geom\u rect
具有
inherit.aes=FALSE
，因此我们可以在开始时指定
x=Index，y=data
非常感谢。这确实帮助我更好地理解了
ggplot2
。
Error: Continuous value supplied to discrete scale

ggplot(time_series, aes(x = Index, y = predict_rec)) +
  geom_line(aes(lty = factor(in_sample)), size = 0.7) +
  geom_rect(data = recession_dates, aes(xmin = start, xmax = end, ymin = -Inf, ymax = Inf, fill = "NBER recession"), alpha = 0.5, inherit.aes = FALSE) +
  scale_linetype_manual(NULL, values = c("dashed", "solid"), labels = c("Out-of-sample", "In-sample")) +
  scale_fill_manual(NULL, values = "grey50") +
  theme(legend.key.height = unit(3, "mm")) + ylab("Name") + xlab(NULL)