прокладочные Кривые из столбцов фрейма данных

Question

я столкнулся с проблемой в сюжетные олы оценок в диаграмме рассеяния:

У меня есть этот кадр данных: С 9 столбцов и 99 строк:

structure(list(Y = c(-0.145442175, 0.291096141, 0.489923112, 
-2.038363166, 1.180430664, 0.188114666, 0.850922634, 1.172142766, 
-3.980837975, 0.285762444, 2.497040646, 0.658010994, -0.925171981, 
0.37076995, -1.108211119, -0.409242669, -1.234583525, -0.385841816, 
0.016744771, -0.584406288, 1.17224811, -0.746804388, -0.625028046, 
0.257871468, -2.735845346, 2.619304857, -0.406825232, 0.323665151, 
2.218951363, -0.821029648, -0.872854889, -2.663306158, -0.121976044, 
0.881566376, -1.972706678, -3.855576256, 2.927421113, 1.314753531, 
0.234296206, 0.828464757, -0.909318569, 0.616134903, -0.567630403, 
0.624571064, -0.414112923, 0.642200314, -0.309421266, 0.195312598, 
-0.519988256, 0, 0.081070175, 0.032446432, -0.534025032, -0.426783307, 
-0.38495511, -0.207900219, -1.953789746, -0.616924355, -0.783222881, 
-1.935420969, 0.638445535, 1.080925923, -1.598076681, 0.25063631, 
-0.697183766, 0.188971653, -0.415267389, -4.154506044, 1.163226552, 
0.036569698, -0.547147074, 1.11937374, 0.383311682, -0.875037781, 
-0.372684863, 0.306816004, -1.250561544, -1.042237738, -1.757788446, 
0.021079982, 1.844023775, 1.674645753, -0.428546132, -0.527705597, 
0.542202572, -0.621479123, -0.050415867, -0.122332943, 0.468553764, 
0.216998274, 3.088480781, 0.434099931, 2.114916704, -2.407018936, 
-0.127060127, 0.546756422, 0.263207486, 0.63453915, 0.76832746 
), X = c(0.009476137, -0.0236354, 0.0094081, 0.11715252, 0.032324021, 
0.0461193, 0.050794971, 0.032372819, 0.202121874, 0.390821859, 
-0.124492596, -0.127305193, -0.22233597, -0.081113713, 0.09952616, 
0.22494711, 0.226621495, 0.411607624, 0.089200478, -0.013454832, 
-0.013547165, -0.232366214, 0.03140992, -0.026798837, -0.084556341, 
-0.091993172, -0.303730207, -0.236679148, -0.284235285, -0.355253166, 
-0.179645537, -0.01381843, -0.022950244, -0.050065976, -0.032018504, 
-0.087168055, -0.081865767, -0.253991077, -0.242882759, -0.150225053, 
-0.16596575, -0.156887247, -0.071795146, -0.100408802, -0.067307731, 
0.024006869, -0.019250912, -0.02399429, 0.038421097, 0.062320065, 
0.07187025, 0.024019462, 0.038421097, 0.033539309, 0.014351457, 
-0.009575137, 0.014343968, 0.028561284, 0.0404213, 0.026065697, 
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-0.136291869, -0.120099035, -0.091418565, -0.122040844, -0.124609029, 
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-0.038746326, -0.029090518, -0.067627348, -0.082097445, -0.215845836, 
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-0.063314884, -0.092537576, -0.165375956, -0.15042398), Null = c(-0.036795117836493, 
0.0120555676565338, -0.0366906491623935, -0.22323992930528, -0.0728300398338213, 
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0.221388292373518, 0.087380368104602, -0.189831042487278, -0.452154909992189, 
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0.0165138860659871, 0.0915102566139487, 0.100284493544177, 0.265652059802101, 
0.230938443729295, 0.257246215885006, 0.281209408151878, 0.188533028671265, 
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0.0237904823161768, 0.094614581053392, 0.0882862377341187, 0.241468070168396, 
0.234837060900023, 0.162029971029324, 0.176601607696189, 0.168307425791361, 
0.0759851164110966, 0.109970788582389, 0.0703849242291975, -0.059492586621119, 
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0.0771546773236518, 0.0377224646820258, 0.0596889425617937, 0.1425196179012, 
0.148379247725525, 0.13162698340227, 0.0996137276510431, 0.133686233062275, 
0.136388667637584, 0.105222539655097, 0.197385328960716, 0.127361748973716, 
0.0554268640818151, 0.0678473149754353, 0.0330232883757411, 0.0197208677278167, 
0.0707862239701058, 0.0885648870712001, 0.216820906265572, 0.286245951224793, 
0.247258814186372, 0.138394666330137, 0.122716205945161, 0.103719679674083, 
0.148789344619283, 0.197893429730301, 0.168006688568371, 0.189742414352596, 
0.165430712615822, 0.133664933948451, 0.11833998959919, 0.0720581343490991, 
0.0270069004188009, 0.077834296346802, 0.0653403280475977, 0.100918894574441, 
0.176071877748707, 0.162219750035618), OLS_1 = c(-2.97674658085357, 
-2.95792547866683, -2.97674412477729, -2.7937460366665, -2.96913739819288, 
-2.95639989365184, -2.95069150171007, -2.96910314906723, -2.3856485268894, 
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-2.84137496711892, -2.84927190111917, -2.23638642750757, -2.22477621905134, 
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-2.9715473503959, -2.96240424133875, -2.97289412424858, -2.9730125951007, 
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-2.94427256930162, -2.86349763526591, -2.88884317216564, -2.80553055841713, 
-2.47811758528604, -2.55927025907886), OLS_2 = c(-2.83865555876367, 
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-2.8182826854432, -2.81275284604234, -2.83069942358793, -2.27571536741022, 
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-2.71420058960775, -2.71564453925406, -2.13442002502496, -2.12343285482248, 
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-2.82986834510621, -2.83829410413293, -2.83315419155684, -2.83829521382395, 
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-2.73614728712302, -2.79813447119318, -2.76776591170989, -2.54140667394362, 
-2.5163996858597, -2.58402223424852, -2.68427373122372, -2.57633280462435, 
-2.56598731123967, -2.66911582708562, -2.23311605677819, -2.59943103595799, 
-2.7744383205277, -2.75387620457868, -2.80339428073398, -2.81610308322424, 
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-2.43427089501948, -2.57641320261571, -2.62982944259216, -2.74611100908034, 
-2.80953310903525, -2.73477077084888, -2.75830410348864, -2.68083005992821, 
-2.37496906485549, -2.4508827380889), OLS_3 = c(-2.58083646581942, 
-2.5683178338716, -2.58084089114316, -2.41826149362172, -2.57232965672457, 
-2.56041470241702, -2.55521822468909, -2.57229650627193, -2.0704676472292, 
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-2.47676312148376, -2.46615920192222, -1.94404642215785, -1.9342224786085, 
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-2.52834152993493, -2.51080007744427, -2.55283331443161, -2.56343418632904, 
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-2.55797145858227, -2.49443477420494, -2.51458468009137, -2.44801138045477, 
-2.18238842077399, -2.24852076027753), OLS_4 = c(-2.4289478285331, 
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-2.407018936, -2.34719820268328, -2.36613768370737, -2.30361375259329, 
-2.05473632620086, -2.11665669129059), OLS_5 = c(-2.2911912568638, 
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-2.05727208640147, -2.1075473897372, -2.18169509790509, -2.10183883759691, 
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-2.2475539961602, -2.23266092019845, -2.26826235385205, -2.27716458812284, 
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-2.27258448425562, -2.21873931960315, -2.23587705524471, -2.17915915787995, 
-1.95172754860073, -2.00843362344438), OLS_6 = c(-2.14615029819501, 
-2.1274826763545, -2.14613692884822, -2.038363166, -2.14482079785526, 
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-1.44873737433719, -2.14509683128765, -2.12442374236989, -2.02946586195686, 
-2.01185030632841, -0.994510606111227, -1.42450007218492, -1.12983335353955, 
-0.596198212559954, -1.7115906309286, -2.13555900800151, -2.12811588444992, 
-2.09509015766854, -2.11889016916752, -2.02341958358771, -2.03553614239934, 
-1.32305159796573, -1.38891263096519, -1.83141440901763, -1.76969899713653, 
-1.80596583024281, -2.05682837956465, -1.99043348930533, -2.06558998487816, 
-2.14664801486533, -2.13135448546891, -2.1271468279034, -2.14250449627423, 
-2.12545741758249, -2.11509475538252, -2.1466464083569, -2.14250449627423, 
-2.14442504670383, -2.14684049810003, -2.13838680613343, -2.1468398441846, 
-2.14583791450693, -2.14156460788614, -2.14633891192499, -2.14114136796206, 
-2.05492693125432, -2.10632999229998, -2.08080895764288, -1.90090288083161, 
-1.88144765246016, -1.93417313784094, -2.01325520240903, -1.9281579797124, 
-1.92007377040746, -2.00120005643771, -1.66327168223962, -1.94624457366434, 
-2.08634430885867, -2.06937728900294, -2.11086434271986, -2.12206882778948, 
-2.06498074945642, -2.03501978622706, -1.5377512452434, -0.29431817292714, 
-1.25902518147068, -1.91393009686737, -1.95881793980313, -2.00449939786682, 
-1.88004274517372, -1.66034827254381, -1.80722288608151, -1.70526848086161, 
-1.81783189921089, -1.92822084254891, -1.97013652098612, -2.0630309651189, 
-2.1162243283256, -2.0538104595074, -2.07300962091288, -2.0105124912345, 
-1.7721107506457, -1.83066883021211)), .Names = c("Y", "X", "Null", 
"OLS_1", "OLS_2", "OLS_3", "OLS_4", "OLS_5", "OLS_6"), row.names = c(NA, 
99L), class = "data.frame") 

Мой график рассеяния будет состоят из первого столбца (Y) и второго столбца (X).

Третья колонка я не буду использовать.

Из четвертой колонки представлены кривые, которые соответствуют значениям регрессий OLS.

Как включить их, используя функцию plot?

я это делаю, но ее не работает

plot(data[,2],data[,1]) 
for(i in 4:9){ 
lines(data[,i]) 
} 

Что я делаю неправильно?

Answer 1

В основном вы хотите

data <- data[order(data$X), ] ## reordering so that `X` is increasing 
plot(data$X, data$Y) 
for (i in 4:9) { 
    lines(data$X, data[,i], col = i) ## remember to set `x-coordinates` 
    } 
legend("topright", legend = names(data)[4:9], col = 4:9, lty = 1) ## add legend