Duas escalas de cores para geom_line no ggplot2

Tenho um gráfico (o código a ser replicado abaixo) que possui duas linhas (e pontos) de dados que precisam ser codificados por cores e, em seguida, três conjuntos de intervalos de confiança (linhas) que precisam ter seu próprio código de core

nfelizmente, o ggplot vê as duas chamadas para geom_line () e as ajusta na mesma escal

Existe uma maneira de as linhas e pontos centrais terem uma escala (e entrada de legenda) enquanto as linhas externas têm uma escala separada (e entrada de legenda

Vi respostas (complexas) como ggplot2: várias escalas de cores ou alternar cores sistematicamente em diferentes camada mas isso depende do antigo sistema proto que acredito ter sido eliminado até agora (?

Obrigado por qualquer ajuda

Code para produzir dados e gráficos. Desculpe pelo comprimento:

exShapedMayGroup <- structure(list(Date = structure(c(14730, 14730, 14730, 14731, 
14731, 14731, 14734, 14734, 14734, 14735, 14735, 14735, 14736, 
14736, 14736, 14737, 14737, 14737, 14740, 14740, 14740, 14741, 
14741, 14741, 14742, 14742, 14742, 14743, 14743, 14743, 14744, 
14744, 14744, 14745, 14745, 14745, 14746, 14746, 14746, 14748, 
14748, 14748, 14749, 14749, 14749, 14750, 14750, 14750, 14750, 
14750, 14750, 14751, 14751, 14751, 14752, 14752, 14752, 14752, 
14752, 14752, 14754, 14754, 14754, 14756, 14756, 14756, 14757, 
14757, 14757, 14758, 14758, 14758, 14758, 14758, 14758, 14759, 
14759, 14759, 14760, 14760, 14760), class = "Date"), Score = c(0.028, 
0.028, 0.028, 0.03289, 0.03289, 0.03289, 0.034512, 0.034512, 
0.034512, 0.0373496, 0.0373496, 0.0373496, 0.03201968, 0.03201968, 
0.03201968, 0.040805744, 0.040805744, 0.040805744, 0.0344045952, 
0.0344045952, 0.0344045952, 0.04017367616, 0.04017367616, 0.04017367616, 
0.035998940928, 0.035998940928, 0.035998940928, 0.0342191527424, 
0.0342191527424, 0.0342191527424, 0.09799532219392, 0.09799532219392, 
0.09799532219392, 0.122746257755136, 0.122746257755136, 0.122746257755136, 
0.0999570062041088, 0.0999570062041088, 0.0999570062041088, 0.0950656049632871, 
0.0950656049632871, 0.0950656049632871, 0.0837224839706296, 0.0837224839706296, 
0.0837224839706296, 0.00418, 0.00418, 0.00418, 0.0806379871765037, 
0.0806379871765037, 0.0806379871765037, 0.009624, 0.009624, 0.009624, 
0.0099792, 0.0099792, 0.0099792, 0.090740389741203, 0.090740389741203, 
0.090740389741203, 0.0905523117929624, 0.0905523117929624, 0.0905523117929624, 
0.0761218494343699, 0.0761218494343699, 0.0761218494343699, 0.0707874795474959, 
0.0707874795474959, 0.0707874795474959, 0.02132336, 0.02132336, 
0.02132336, 0.0636099836379967, 0.0636099836379967, 0.0636099836379967, 
0.0550479869103974, 0.0550479869103974, 0.0550479869103974, 0.0466883895283179, 
0.0466883895283179, 0.0466883895283179), Right = c("1", "2", 
"3", "1", "2", "3", "1", "2", "3", "1", "2", "3", "1", "2", "3", 
"1", "2", "3", "1", "2", "3", "1", "2", "3", "1", "2", "3", "1", 
"2", "3", "1", "2", "3", "1", "2", "3", "1", "2", "3", "1", "2", 
"3", "1", "2", "3", "1", "2", "3", "1", "2", "3", "1", "2", "3", 
"1", "2", "3", "1", "2", "3", "1", "2", "3", "1", "2", "3", "1", 
"2", "3", "1", "2", "3", "1", "2", "3", "1", "2", "3", "1", "2", 
"3"), .id = c("0", "0", "0", "0", "0", "0", "0", "0", "0", "0", 
"0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", 
"0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", 
"0", "0", "0", "0", "0", "0", "0", "0", "0", "1", "1", "1", "0", 
"0", "0", "1", "1", "1", "1", "1", "1", "0", "0", "0", "0", "0", 
"0", "0", "0", "0", "0", "0", "0", "1", "1", "1", "0", "0", "0", 
"0", "0", "0", "0", "0", "0"), Lower = c(0.0452301816389807, 
0.0299531343622987, 0.0146760870856168, 0.0409430625769167, 0.0213788962381707, 
0.00181472989942479, 0.0386359600820249, 0.0167646912483872, 
-0.00510657758525054, 0.037279363974053, 0.0140514990324434, 
-0.00917636590916623, 0.0364512577706185, 0.0123952866255743, 
-0.0116606845194698, 0.0359359120595814, 0.0113645952035002, 
-0.0132067216525811, 0.0356116886483614, 0.0107161483810601, 
-0.0141793918862411, 0.035406383399575, 0.0103055378834873, -0.0147953076326005, 
0.0352758647295475, 0.0100445005434323, -0.0151868636426829, 
0.0351926859362388, 0.00987814295681498, -0.0154364000226088, 
0.035139594640892, 0.00977196036612139, -0.0155956739086492, 
0.0351056744462797, 0.00970411997689682, -0.0156974344924861, 
0.0350839892725913, 0.00966074962952, -0.0157624900135513, 0.0350701204632195, 
0.00963301201077625, -0.0158040964416669, 0.035061248392137, 
0.00961526786861143, -0.0158307126549142, NA, NA, NA, 0.0350555718896789, 
0.00960391486369513, -0.0158477421622886, NA, NA, NA, NA, NA, 
NA, 0.0350519395924259, 0.00959665026918906, -0.0158586390540477, 
0.0350496151941651, 0.00959200147266757, -0.01586561224883, 0.0350481276906492, 
0.00958902646563569, -0.0158700747593778, 0.035047175734008, 
0.00958712255235328, -0.0158729306293014, NA, NA, NA, 0.0350465665004368, 
0.00958590408521094, -0.0158747583300149, 0.0350461765986017, 
0.00958512428154069, -0.0158759280355203, 0.0350459270645606, 
0.00958462521345864, -0.0158766766376434), Upper = c(0.0757842761923446, 
0.0910613234690266, 0.106338370745709, 0.0800713952544086, 0.0996355615931546, 
0.119199727931901, 0.0823784977493004, 0.104249766582938, 0.126121035416576, 
0.0837350938572723, 0.106962958798882, 0.130190823740492, 0.0845632000607068, 
0.108619171205751, 0.132675142350795, 0.0850785457717439, 0.109649862627825, 
0.134221179483906, 0.0854027691829639, 0.110298309450265, 0.135193849717566, 
0.0856080744317504, 0.110708919947838, 0.135809765463926, 0.0857385931017778, 
0.110969957287893, 0.136201321474008, 0.0858217718950865, 0.11113631487451, 
0.136450857853934, 0.0858748631904333, 0.111242497465204, 0.136610131739975, 
0.0859087833850456, 0.111310337854428, 0.136711892323811, 0.085930468558734, 
0.111353708201805, 0.136776947844877, 0.0859443373681059, 0.111381445820549, 
0.136818554272992, 0.0859532094391883, 0.111399189962714, 0.136845170486239, 
NA, NA, NA, 0.0859588859416464, 0.11141054296763, 0.136862199993614, 
NA, NA, NA, NA, NA, NA, 0.0859625182388994, 0.111417807562136, 
0.136873096885373, 0.0859648426371602, 0.111422456358658, 0.136880070080155, 
0.0859663301406761, 0.11142543136569, 0.136884532590703, 0.0859672820973173, 
0.111427335278972, 0.136887388460627, NA, NA, NA, 0.0859678913308885, 
0.111428553746114, 0.13688921616134, 0.0859682812327236, 0.111429333549785, 
0.136890385866846, 0.0859685307667647, 0.111429832617867, 0.136891134468969
)), .Names = c("Date", "Score", "Right", ".id", "Lower", "Upper"
), row.names = c(NA, 81L), class = "data.frame")


ggplot(exShapedMayGroup, aes_string(x="Date", y="Score"))  + geom_line(aes_string(group=".id", colour=".id")) + 
    geom_point(aes_string(colour=".id")) + geom_line(aes_string(y="Lower", colour="Right")) + 
    geom_line(aes_string(y="Upper", colour="Right")) + scale_color_discrete(name="Limits")

P.S. Apenas use aes_string porque isso é chamado em uma função que permite ao usuário inserir colunas como um caracter

questionAnswers(4)

yourAnswerToTheQuestion