Shade Area using Polygon in R - r

This is my data:
data=structure(c(-0.0471957808923093, -0.0467988635384236, -0.0463342530558707,
-0.0457926330882236, -0.0451638382532273, -0.0444368569264807,
-0.0435998514313549, -0.0426401983500639, -0.0415445516030975,
-0.0402989307802484, -0.0388888369350307, -0.0372993976665075,
-0.0355155428026053, -0.0335222113649458, -0.0313045897396848,
-0.028848380109615, -0.026140097233332, -0.023167390606974, -0.0199193879382963,
-0.0163870547327459, -0.0125635636730607, -0.00844466640840535,
-0.00402905939999997, 0.000681265356828354, 0.00568069455370951,
0.0109597029612447, 0.01650460835736, 0.0222973821907433, 0.0283155256820092,
0.0345320202245192, 0.0409153597579977, 0.0474296712607441, 0.0540349276635842,
0.0606872553679083, 0.0673393362019039, 0.0739409011365642, 0.0804393104801724,
0.0867802126590783, 0.0929082711616744, 0.0987679468617816, 0.104304320836165,
0.109463941032544, 0.114195674804447, 0.11845154847061, 0.122187554726899,
0.125364408967776, 0.127948236372159, 0.12991117296429, 0.131231865742443,
0.131895859325063, 0.131895859325063, 0.131231865742443, 0.12991117296429,
0.127948236372159, 0.125364408967776, 0.122187554726899, 0.11845154847061,
0.114195674804447, 0.109463941032544, 0.104304320836165, 0.0987679468617816,
0.0929082711616744, 0.0867802126590783, 0.0804393104801724, 0.0739409011365642,
0.0673393362019039, 0.0606872553679083, 0.0540349276635841, 0.0474296712607441,
0.0409153597579976, 0.0345320202245192, 0.0283155256820092, 0.0222973821907433,
0.01650460835736, 0.0109597029612447, 0.00568069455370951, 0.000681265356828344,
-0.00402905939999997, -0.00844466640840537, -0.0125635636730607,
-0.0163870547327459, -0.0199193879382963, -0.023167390606974,
-0.026140097233332, -0.028848380109615, -0.0313045897396848,
-0.0335222113649458, -0.0355155428026053, -0.0372993976665075,
-0.0388888369350306, -0.0402989307802484, -0.0415445516030976,
-0.0426401983500639, -0.0435998514313549, -0.0444368569264807,
-0.0451638382532273, -0.0457926330882236, -0.0463342530558707,
-0.0467988635384236, -0.0471957808923093, -169.075778315231,
-165.419424999945, -161.763071684659, -158.106718369373, -154.450365054087,
-150.794011738801, -147.137658423515, -143.481305108229, -139.824951792942,
-136.168598477656, -132.51224516237, -128.855891847084, -125.199538531798,
-121.543185216512, -117.886831901226, -114.23047858594, -110.574125270654,
-106.917771955368, -103.261418640081, -99.6050653247953, -95.9487120095092,
-92.2923586942231, -88.636005378937, -84.9796520636509, -81.3232987483648,
-77.6669454330787, -74.0105921177926, -70.3542388025065, -66.6978854872204,
-63.0415321719343, -59.3851788566482, -55.7288255413621, -52.072472226076,
-48.4161189107899, -44.7597655955038, -41.1034122802177, -37.4470589649316,
-33.7907056496455, -30.1343523343594, -26.4779990190733, -22.8216457037872,
-19.1652923885011, -15.508939073215, -11.8525857579289, -8.19623244264278,
-4.53987912735666, -0.88352581207058, 2.77282750321554, 6.42918081850162,
10.0855341337877, 13.7418874490738, 17.3982407643599, 21.054594079646,
24.7109473949321, 28.3673007102183, 32.0236540255043, 35.6800073407905,
39.3363606560765, 42.9927139713627, 46.6490672866487, 50.3054206019349,
53.9617739172209, 57.6181272325071, 61.2744805477931, 64.9308338630793,
68.5871871783654, 72.2435404936515, 75.8998938089376, 79.5562471242237,
83.2126004395098, 86.8689537547959, 90.525307070082, 94.1816603853681,
97.8380137006542, 101.49436701594, 105.150720331226, 108.807073646513,
112.463426961799, 116.119780277085, 119.776133592371, 123.432486907657,
127.088840222943, 130.745193538229, 134.401546853515, 138.057900168801,
141.714253484087, 145.370606799374, 149.02696011466, 152.683313429946,
156.339666745232, 159.996020060518, 163.652373375804, 167.30872669109,
170.965080006376, 174.621433321662, 178.277786636948, 181.934139952235,
185.590493267521, 189.246846582807, 192.903199898093), .Dim = c(100L,
2L), .Dimnames = list(NULL, c("Y", "X")))
With this data I can plot this graph below:
plot(data[,1],data[,2],type="l")
abline(h=quantile(data[,2],0.75))
abline(h=quantile(data[,2],0.25))
Using polygon function how can I shade the area (with different colors) between the distribution tails and 0.75/0.25 quantiles lines?


An answer:
Let dat be your data frame,
oo <- dat[24:76, ];
oo[1, ] <- c(dat[1,1], dat[25,2]);
oo[, nrow(oo)] <- c(dat[100,1], dat[75,2]);
plot(dat, type = "l"); polygon(oo, col = "gray")

Related

Plot VAR fitted values with original data R

Suppose you have a matrix of time series, where each column is a time series.
Now, suppose you take second differences of this matrix, (so the data is stationary), using this code:
var_train_data <- diff(var_train, differences = 2)
and then you estimate this model:
var_1 <- VAR(y=var_train_data, lag=9, type="const")
Recall that this function VARcomes from vars package.
How can you plot the original data and the fitted(var_1) data? Is there a function to return the fitted data from the VAR to "level"?
I want to do this but with a VAR.
Thanks in advance!!
Here is the data:
> dput(var_train)
structure(c(8.59225428063812, 8.61632381521795, 8.48941975098913,
8.42616336163893, 8.4656261753598, 8.49981580266834, 8.50658473928686,
8.54846279771184, 8.58669260125764, 8.56316032696837, 8.52323490346238,
8.48186742854092, 8.48127581622944, 8.49729119076164, 8.49055049683316,
8.58344453055748, 8.66539149708416, 7.9357662604667, 6.05291235942189,
6.03890804924141, 5.98225560802266, 5.97240914057282, 5.94306180787981,
6.20137810965131, 6.12654161955374, 5.94624694111468, 5.85594359899009,
5.80529348520438, 5.8381279297813, 5.94886540621632, 5.89095336551159,
5.78449385503938, 5.80588769759335, 5.70948049577085, 5.67528501375454,
5.52325929980363, 5.31085745753021, 5.33500450854624, 5.3938341365814,
5.45958551414416, 5.62663959880732, 5.67152161243798, 5.87292229474808,
6.13320939934395, 6.0539450308861, 5.91620206260743, 5.98431404307914,
5.97698522584315, 6.09421451539306, 6.16657264938364, 6.27079937807193,
6.32011405804798, 6.31492735684061, 6.33107810311843, 6.44029387009958,
6.5049295418109, 6.68300329197134, 7.30512711870751, 7.48990882366175,
7.51140038002074, 7.36108949229449, 7.40527167395002, 7.52991897172882,
7.48794703789686, 7.28420343801981, 7.03762657251759, 6.94570770568258,
6.8027650651245, 6.70994292841968, 6.5635196517431, 6.58704241900519,
6.57918807870411, 6.56763428848419, 6.67249919251384, 6.55714884087979,
6.44556863637826, 6.64144323226655, 6.69044694236696, 6.64031146877134,
6.57024614132845, 6.55644009549116, 6.41999492814714, 6.30406385390409,
6.25618617067998, 6.20859002609663, 6.29478035236011, 6.33882450179958,
6.27861522839648, 6.36442286111981, 6.40470239932559, 6.38864543562845,
6.57792182635296, 6.77748387294482, 6.80771392480191, 6.78808230061387,
6.83179944673993, 6.74635337244069, 6.71228769051817, 6.71323231410622,
6.87445699358062, 6.99334898488415, 7.02875008260248, 6.99559171234453,
6.94609768011091, 6.82185333419185, 6.78972221207055, 7.08994524817146,
6.94355669144552, 6.96382050291509, 7.01613754035382, 7.0956860745406,
7.10902496856521, 7.0683268590798, 7.09328003338984, 7.03698767140573,
6.97311732456672, 6.96941465936886, 6.83249279448159, 6.71302370211151,
6.68918458951307, 6.83687286833789, 6.87816384462923, 6.779867793454,
6.6690749885188, 6.68210859744981, 6.63725803128446, 6.47906806746391,
6.63432043737224, 6.57746390143601, 6.63242090143254, 6.51253166492618,
6.61381121689155, 6.59605370068614, 6.52834257739573, 6.38542432810392,
6.40417606373692, 6.39057618124397, 6.38557758480921, 6.40206794670863,
6.38004182339231, 6.33048455580799, 6.31905391015162, 6.18631691346691,
6.16989597138095, 6.18599200958145, 6.15475193126883, 6.10944958256305,
6.07359299021025, 6.30235729839158, 6.21488078851159, 6.19123711209895,
6.13415226194445, 6.10489951928334, 6.10835829857948, 6.17117854049486,
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6.65109576407555, 6.55243995455944, 6.52108609966874, 6.61791214295492,
6.73192688164199, 6.82964630649759, 6.7830420348085, 6.67163010253559,
7.35778808496937, 7.68222895818785, 7.65345178297661, 7.75628546245401,
7.62338589734873, 18.0052565534027, 18.0283161481762, 18.0354203734597,
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3.95072671083008, 4.03652777624058, 4.06630193640976, 4.08838169421096,
4.09074775372752), .Dim = c(192L, 7L), .Dimnames = list(NULL,
c("EMBI+", "M2 (pesos)", "Commodity Price index", "emae",
"gasto programas SS", "recursos tributarios", "ex_rate")), .Tsp = c(2004,
2019.91666666667, 12), class = c("mts", "ts", "matrix"))

Is there a way to do a spatial join between point layer based on lat and lon with heat map created as a result of info?

I have a dataset with geometry through the sf package included with lat and lon information. I also have a heat map created as a result of the dataset
Overlay<-stat_density2d(aes(x = df$LONGITUDE, y = fd$LATITUDE, fill = ..density..), geom = 'tile', contour = F, alpha = .5)
Is there a way to join the heat map density color values into the point file?
st_join(Shots1B,Overlay)
gives me an error
Error in st_join.sf(Shots1B, Overlay) :
second argument should be of class sf: maybe revert the first two arguments?
Reproductive dataset to follow the process. Overlay is based on the result of this dataset here.
structure(list(LATITUDE = c(40.68358, 40.69754, 40.843464, 40.692547,
40.626457, 40.526894, 40.840775, 40.694035, 40.857365, 40.698807,
40.71402, 40.815, 40.55079, 40.655903, 40.890076, 40.650402,
40.79335, 40.72538, 40.75184, 40.649788, 40.686928, 40.712963,
40.801285, 40.633976, 40.670296, 40.66423, 40.817696, 40.668495,
40.841087, 40.70955, 40.733376, 40.700356, 40.83801, 40.66584,
40.761436, 40.74958, 40.73197, 40.76249, 40.668507, 40.638268,
40.696735, 40.870823, 40.574867, 40.866577, 40.775414, 40.84744,
40.542908, 40.78468, 40.632416, 40.714207, 40.727913, 40.854485,
40.698986, 40.841717, 40.861687, 40.691822, 40.856014, 40.83383,
40.68781, 40.642044, 40.69814, 40.64664, 40.680897, 40.760822,
40.74608, 40.626293, 40.767967, 40.673634, 40.579212, 40.57365,
40.73632, 40.619396, 40.820263, 40.601864, 40.810318, 40.666306,
40.708805, 40.826424, 40.63174, 40.727146, 40.67253, 40.702335,
40.587894, 40.67922, 40.65047, 40.836555, 40.870056, 40.579372,
40.805138, 40.85968, 40.605595, 40.819214, 40.827972, 40.66496,
40.719177, 40.748825, 40.733597, 40.54048, 40.738403, 40.68039,
40.817627, 40.751446, 40.76161, 40.689648, 40.596977, 40.63864,
40.565254, 40.655895, 40.68821, 40.71649, 40.876785, 40.86367,
40.835827, 40.793396, 40.84827, 40.656273, 40.693462, 40.66725,
40.844105, 40.651707, 40.680496, 40.834415, 40.7357, 40.771038,
40.69484, 40.785774, 40.733017, 40.709023, 40.692886, 40.620487,
40.618595, 40.803787, 40.82319, 40.680088, 40.827927, 40.66895,
40.879055, 40.67043, 40.875874, 40.675037, 40.767582, 40.734352,
40.63083, 40.63532, 40.714073, 40.702194, 40.764362, 40.69496,
40.79656, 40.805016, 40.66406, 40.7963, 40.66563, 40.680477,
40.737785, 40.778606, 40.75868, 40.856045, 40.880257, 40.60677,
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polygon shading the inverse region in R- how to fix

I am plotting a truncated density in R. Here are the coordinates of my polygon from dput output:
dat <- structure(list(pro.d.x = c(0.587084148727984, 0.589041095890411,
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0.958904109589041, 0.960861056751468, 0.962818003913894, 0.964774951076321,
0.966731898238748, 0.968688845401174, 0.970645792563601, 0.972602739726027,
0.974559686888454, 0.976516634050881, 0.978473581213307, 0.980430528375734,
0.98238747553816, 0.984344422700587, 0.986301369863014, 0.98825831702544,
0.990215264187867, 0.992172211350294, 0.99412915851272, 0.996086105675147,
0.998043052837573, 1), pro.d.y = c(0, 0.0124763366981593, 0.0141124551851867,
0.0159018210787856, 0.0178518210828018, 0.0199740509194942, 0.0223445527492011,
0.0249064839074225, 0.0276662964727761, 0.0306302708705622, 0.0338545211312297,
0.0373385397435565, 0.0410496060511471, 0.0449918664776745, 0.0491758970805405,
0.0536901895276933, 0.0584490455650341, 0.0634544237153568, 0.0687081431462095,
0.0742700062159316, 0.0801277089300282, 0.086240025634052, 0.0926086975186578,
0.0992440060892446, 0.106239285811027, 0.113504059066459, 0.121044019265177,
0.128865573418761, 0.137048548852888, 0.145593863797181, 0.154467617291928,
0.163685889084493, 0.173280379056521, 0.183418988934254, 0.193997374886688,
0.205045023363949, 0.21659280832808, 0.228818951343029, 0.241754902638203,
0.255354359835895, 0.269660574110284, 0.284751550765693, 0.300974352004478,
0.318105788417593, 0.336193761251992, 0.355285850148719, 0.37570768608243,
0.397453045785548, 0.420391899838677, 0.444560692193431, 0.470052830600742,
0.497323432291453, 0.525934510701712, 0.55589495930279, 0.587210052668763,
0.620209479614381, 0.654737312164808, 0.690555064040503, 0.727627117977952,
0.765968447827405, 0.805823333992903, 0.846691934407899, 0.888496561425915,
0.931155864506105, 0.974725912749141, 1.01894272802093, 1.06358946338081,
1.10855652184076, 1.15373258418124, 1.19891666804584, 1.24392280480721,
1.28863577510934, 1.33294134574882, 1.37653543493332, 1.41927889838227,
1.46115790850083, 1.50208011643625, 1.54188812802516, 1.58010796114519,
1.61704327373793, 1.65264078703095, 1.68685158559086, 1.71924489000963,
1.74994440160701, 1.77914340182238, 1.80683605037902, 1.8329284799749,
1.85702633860664, 1.87966618832539, 1.90087561596266, 1.92068458372179,
1.93878680429694, 1.95543121172768, 1.97084637077113, 1.98507694736024,
1.99809848497021, 2.00970880002476, 2.0203323177052, 2.03001268341046,
2.03879277291169, 2.04650577512196, 2.05333770822687, 2.05943314402644,
2.06482425018454, 2.06949798196726, 2.07333994584229, 2.07659348278548,
2.07927970501823, 2.08141886898654, 2.08289568306932, 2.0838167309169,
2.08426362597097, 2.08425136563913, 2.08376347737203, 2.08272129413889,
2.0812848925494, 2.07947064189011, 2.07729538738197, 2.07469292214384,
2.07175241370009, 2.06853824861803, 2.06507440050244, 2.06137194834198,
2.05743920123393, 2.05338026815633, 2.04922923154637, 2.04502128439529,
2.04081183457356, 2.03667849489226, 2.03266717082546, 2.02882485726764,
2.02522571223853, 2.02203770460098, 2.0192476674025, 2.01691496522578,
2.01510017656093, 2.01407190394343, 2.01385052206395, 2.01443658686903,
2.01590202326501, 2.01841515958639, 2.02236038715918, 2.02751514911719,
2.03395909497369, 2.0417722975773, 2.0515066820042, 2.06304583606758,
2.07630508949246, 2.09136419448661, 2.1084876952701, 2.12825404999518,
2.15014999861247, 2.17424485778335, 2.2006062832039, 2.23002312279098,
2.26215697251894, 2.2968041549068, 2.33400970407032, 2.37407124084828,
2.41760250489697, 2.4638260220103, 2.51275499122616, 2.56439904161634,
2.61956960340193, 2.67771334572469, 2.73852719993077, 2.80198177705806,
2.86829607508334, 2.93788571360972, 3.00990094479677, 3.08426858458271,
3.16091081580917, 3.24034038243829, 3.3219275671303, 3.40533998955121,
3.49044957580254, 3.57725694079797, 3.66572547223431, 3.75521994794363,
3.84555419923005, 3.93653584878367, 4.02795152621416, 4.11931406838431,
4.21034136592417, 4.30077594829744, 4.39020281325105, 4.47783699125228,
4.56363022834507, 4.64726414556742, 4.72841524545307, 4.80564182077226,
4.87897706777627, 4.94833350100604, 5.01335537401227, 5.07307996209023,
5.1259118810479, 5.17287726780172, 5.21364011252759, 5.24787000019841,
5.27287709283815, 5.28975954430921, 5.29886896386876, 5.29997375028775,
5.29185426024869, 5.27278869421654, 5.24503234244234, 5.20852067701082,
5.16320857873499, 5.10629616085988, 5.04001017913819, 4.96520581342729,
4.88204743797809)), .Names = c("pro.d.x", "pro.d.y"), row.names = 301:512, class = "data.frame")
I generally shade a polygon region fairly easy using plot() and polygon() like this:
plot(dat,xlim = c(0,1), ylim = c(0,10), bty = 'n', xlab = NA, ylab = NA, main = NA, yaxs='i', xaxs = 'i', las = 1, cex = 0)
polygon(dat, col = 'green')
However this plot looks like this:
Its shading some type of inverse of what I would like, and adding this very straight line. Any idea how I could shade all regions below the line?

The concept of polygon() is to connect all the points in order and at last it will link the last point to the first one. (That is why the straight line is created) To deal with it, you need to make an additional vertex c(1, 0) as a relay between the first and last points.
polygon(rbind(dat, c(1, 0)), col = 'green')

Plotting Curves from Data Frame Columns

i am facing a problem in plot ols estimations in a scatterplot:
I have this data frame: With 9 columns and 99 rows:
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,
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-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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-0.038746326, -0.029090518, -0.067627348, -0.082097445, -0.215845836,
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-0.122020692, -0.107867301, -0.068642333, -0.034348677, -0.073289926,
-0.063314884, -0.092537576, -0.165375956, -0.15042398), Null = c(-0.036795117836493,
0.0120555676565338, -0.0366906491623935, -0.22323992930528, -0.0728300398338213,
-0.0955073599141197, -0.103350601084975, -0.0729090354522075,
-0.400153521158964, -0.887015257107641, 0.1362666683468, 0.13919994231771,
0.221388292373518, 0.087380368104602, -0.189831042487278, -0.452154909992189,
-0.456044210600938, -0.948567833126862, -0.170785020294756, -0.00253939338337472,
-0.00240533038312774, 0.228145471304061, -0.0713518661553421,
0.0165138860659871, 0.0915102566139487, 0.100284493544177, 0.265652059802101,
0.230938443729295, 0.257246215885006, 0.281209408151878, 0.188533028671265,
-0.00201164134414489, 0.0110851592192505, 0.0481858583559124,
0.0237904823161768, 0.094614581053392, 0.0882862377341187, 0.241468070168396,
0.234837060900023, 0.162029971029324, 0.176601607696189, 0.168307425791361,
0.0759851164110966, 0.109970788582389, 0.0703849242291975, -0.059492586621119,
0.00581616568295407, 0.0125631925046972, -0.0827672867080164,
-0.123023227393077, -0.139691063870559, -0.0595125909296922,
-0.0827672867080164, -0.074799966578053, -0.044324863847201,
-0.00820062690976645, -0.0443132308515717, -0.0667648997869916,
-0.0860567642206439, -0.0627706942069095, -0.0153914247452083,
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,
-0.647452287114872, -2.68293610049662, -2.670570393744, -2.10297963546522,
-2.84137496711892, -2.84927190111917, -2.23638642750757, -2.22477621905134,
-0.385841816000001, -2.87715002139054, -2.96747293407547, -2.96740133507642,
-2.02609643038743, -2.9697648045679, -2.95427875550959, -2.8310157181346,
-2.80733412921436, -1.38551048535346, -1.99204069101103, -1.57679230211392,
-0.821029648, -2.39395151432173, -2.96718943992586, -2.95867282134313,
-2.9175506236826, -2.94755679517459, -2.82290206987746, -2.83914454134393,
-1.84931168689084, -1.94200482386918, -2.56030139156351, -2.4747687889082,
-2.52507434784403, -2.86749990988846, -2.77838660436577, -2.87908253396987,
-2.97385415360498, -2.96244666805069, -2.95752797222193, -2.96426392038595,
-2.93361303993881, -2.91621877029975, -2.97384869333029, -2.96426392038595,
-2.96826157356433, -2.97653443074828, -2.97023260580068, -2.97653534550966,
-2.9715473503959, -2.96240424133875, -2.97289412424858, -2.9730125951007,
-2.86497897723402, -2.93188917574701, -2.89904800305061, -2.6561144854951,
-2.62935195635151, -2.70174255054932, -2.80922741244202, -2.69350740105694,
-2.68242924921473, -2.79295820376613, -2.32657978700299, -2.718248099245,
-2.90625073580661, -2.88407071600265, -2.93759776247538, -2.95143559806685,
-2.87827902655775, -2.83845377816351, -2.15100018436527, -0.392139380784325,
-1.7590965971582, -2.67400272569948, -2.73540774982849, -2.79741598960129,
-2.62741730304073, -2.322499279269, -2.52681590220219, -2.38514457172383,
-2.541507865502, -2.6935934995898, -2.75082409521646, -2.87570553083222,
-2.94427256930162, -2.86349763526591, -2.88884317216564, -2.80553055841713,
-2.47811758528604, -2.55927025907886), OLS_2 = c(-2.83865555876367,
-2.82203271957637, -2.83865550287755, -2.66277932892391, -2.83073328950317,
-2.8182826854432, -2.81275284604234, -2.83069942358793, -2.27571536741022,
-0.632851535784811, -2.56646067709365, -2.55491098827374, -2.02364579120999,
-2.71420058960775, -2.71564453925406, -2.13442002502496, -2.12343285482248,
-0.385841816, -2.74223576659719, -2.83068449367348, -2.83062014186059,
-1.95158880862936, -2.83135434505306, -2.81870405841395, -2.70456098525177,
-2.68251016192609, -1.35080974869909, -1.91966655284606, -1.53026524143009,
-0.821029648, -2.29619548286091, -2.83042962848176, -2.82271365766308,
-2.78489427206998, -2.81254809712918, -2.69700817487578, -2.71212546804251,
-1.78585373408616, -1.87276085874404, -2.45184700668681, -2.37183555552258,
-2.41889982491589, -2.73848954857785, -2.65553364194069, -2.74924637290594,
-2.8354502300085, -2.82614423798244, -2.82167034953476, -2.82594242161564,
-2.7962902949221, -2.77959589724382, -2.83544467118397, -2.82594242161564,
-2.82986834510621, -2.83829410413293, -2.83315419155684, -2.83829521382395,
-2.83312719078141, -2.82412509152621, -2.83447802392599, -2.83561001727694,
-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,
-2.74850042856033, -2.71148276169435, -2.06864445166113, -0.418358709691658,
-1.7012556906544, -2.558117011201, -2.61544592452239, -2.67326984561107,
-2.5145916492569, -2.22929491666958, -2.42052887445801, -2.28795076147412,
-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,
-0.605591599496051, -2.34899840070827, -2.33897223601076, -1.87552769159633,
-2.47676312148376, -2.46615920192222, -1.94404642215785, -1.9342224786085,
-0.385841816000001, -2.49034777076914, -2.57529735049815, -2.57524652934739,
-1.81248137667339, -2.57293885513887, -2.56558300171966, -2.46846711008925,
-2.44946096338359, -1.28602268062379, -1.78454238349805, -1.4433981562183,
-0.821029648, -2.11368273887782, -2.57509593622485, -2.56887479307252,
-2.53722183306237, -2.56048377359198, -2.46196139684977, -2.47497795642607,
-1.66737628649693, -1.7434807939705, -2.24936019247138, -2.17965685727221,
-2.22066956504207, -2.49762425675709, -2.42616435450559, -2.50683929408026,
-2.57704694280319, -2.57166448720316, -2.56802106429762, -2.56769302344379,
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-2.49561557851369, -2.54841138215235, -2.52265924802504, -2.32724456926626,
-2.30551521644622, -2.36423571438323, -2.45098235381054, -2.35756515622,
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-2.52834152993493, -2.51080007744427, -2.55283331443161, -2.56343418632904,
-2.50620082129485, -2.47442497328161, -1.91488441727801, -0.467310795744689,
-1.59326539683083, -2.34175573481226, -2.39147445613669, -2.44148615865099,
-2.30394357612981, -2.05528024243402, -2.22208856552246, -2.10648769733616,
-2.23405702128991, -2.35763491117015, -2.40392966200837, -2.50415507637054,
-2.55797145858227, -2.49443477420494, -2.51458468009137, -2.44801138045477,
-2.18238842077399, -2.24852076027753), OLS_4 = c(-2.4289478285331,
-2.41681903415288, -2.42895104301202, -2.27867081965274, -2.4213161496905,
-2.41038194422522, -2.40559515788832, -2.42128586809391, -1.95522949388955,
-0.590647453749078, -2.21077815389366, -2.20138321248198, -1.76758669368012,
-2.33060054299992, -2.32313500877883, -1.83755181381677, -1.82840597739465,
-0.385841816, -2.34557046847711, -2.42346978407977, -2.42342111188123,
-1.70861264386732, -2.42187239429871, -2.41422413566286, -2.32281181955877,
-2.30497392699143, -1.21632553238408, -1.68248005204524, -1.36346128591018,
-0.781669317752002, -1.99042352676657, -2.42327691796255, -2.41734804581689,
-2.38744248609079, -2.40939495374384, -2.31670510436427, -2.32892438647688,
-1.57289978140148, -1.64407512538075, -2.11744278294415, -2.05217911016675,
-2.09057710272701, -2.35019495754122, -2.28311871426765, -2.35885543710246,
-2.42560672084754, -2.42000135641999, -2.4165372393818, -2.41707097497419,
-2.39145946177805, -2.3772271125231, -2.42560153071694, -2.41707097497419,
-2.420544236609, -2.42841594588832, -2.4253216199613, -2.42841722040367,
-2.42347169955882, -2.41547562547196, -2.42470587973943, -2.4271143253132,
-2.34830761179908, -2.39799094116799, -2.37373288731684, -2.19039487337143,
-2.17003793409615, -2.22505776553193, -2.30640152341961, -2.21880622042115,
-2.21039315621698, -2.294126428977, -1.93888869626962, -2.23758086989921,
-2.37908034073483, -2.36257901260101, -2.4021644964107, -2.41218787827608,
-2.35825527028976, -2.3284051877118, -1.80440438182757, -0.451087514089169,
-1.50359480720157, -2.20399138892979, -2.25058992243427, -2.29749148286179,
-2.16856567860513, -1.93576601076367, -2.09190575790345, -1.98368936201681,
-2.10311255036163, -2.21887159162467, -2.26226743315126, -2.35633238493592,
-2.407018936, -2.34719820268328, -2.36613768370737, -2.30361375259329,
-2.05473632620086, -2.11665669129059), OLS_5 = c(-2.2911912568638,
-2.28123967681215, -2.29119683586224, -2.14805590207021, -2.28325670505768,
-2.27261386268403, -2.268006850245, -2.28322682471889, -1.84560662105751,
-0.576090713535621, -2.0945064647732, -2.0859234999636, -1.68828464788266,
-2.20368547406672, -2.18986194988925, -1.73587625378362, -1.72735189094969,
-0.385841816, -2.21101101562234, -2.28700200417098, -2.28696051646281,
-1.63411554699496, -2.28380625780731, -2.27896044246845, -2.19661244829441,
-2.18039652225164, -1.18146437845759, -1.6101070827248, -1.31682391434599,
-0.781364138557704, -1.89278224977018, -2.28683751979873, -2.28170279433502,
-2.25507742887343, -2.27469315563211, -2.19106352335337, -2.20216376634672,
-1.50940418054145, -1.57481865165838, -2.00915316980509, -1.94938461398854,
-1.98455653642811, -2.22145418758665, -2.1605019074557, -2.22929361026136,
-2.28754415075922, -2.28401553991566, -2.28099274980288, -2.2790962708342,
-2.25448944582185, -2.24095826297856, -2.28753886744317, -2.2790962708342,
-2.28249611688223, -2.29051254450738, -2.28856644852124, -2.29051401027405,
-2.28539476406181, -2.27754391464367, -2.28663199585719, -2.29003809100396,
-2.21974449731936, -2.26453458741267, -2.24273365564754, -2.0758820670505,
-2.05727208640147, -2.1075473897372, -2.18169509790509, -2.10183883759691,
-2.0941547862828, -2.17052540371127, -1.84552009498619, -2.11897925887711,
-2.2475539961602, -2.23266092019845, -2.26826235385205, -2.27716458812284,
-2.22875067319638, -2.20169236013157, -1.72209385129724, -0.476893951190187,
-1.44569200778405, -2.08830648613957, -2.13084935049209, -2.17358829667077,
-2.05592583172644, -1.84265559786228, -1.98577321824112, -1.88660772323127,
-1.99603456442263, -2.10189853669134, -2.14149931364702, -2.22701080101746,
-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,
-2.13839956793073, -2.1352633011825, -2.14480554064275, -1.77137087834078,
-0.604458131512312, -1.92044345866761, -1.91142894340333, -1.5035051350835,
-2.03720410348948, -2.07364942604987, -1.67230210256299, -1.66457879312031,
-0.427523081653794, -2.09111249534671, -2.1358169999572, -2.13575175544593,
-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")
My scatter plot will consist of the first column (Y) and the second column (X).
The third column i will not use.
From the fourth column are the curves that are fitted values of OLS regressions.
How do I include them using the plot function?
i am doing this, but its not working
plot(data[,2],data[,1])
for(i in 4:9){
lines(data[,i])
}
What am i doing wrong?

Basically you want
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

How to plot the forecasted values against actual values observed later in R?

We used the R library forecast to make predictions for the next 24 hours. We have the following:
fore_cast=forecast.tbats(model,h=24,level=90)
fore_cast
Point Forecast Lo 90 Hi 90
5.380952 6270.778 5389.089 7296.643
5.386905 5458.096 4557.375 6536.743
5.392857 5219.995 4248.967 6412.814
5.398810 5187.102 4126.390 6520.328
Now we have 2 problems:
We need 'time' (in hour e.g. 01,23,19 etc) instead of 'point'.
We wish to plot the trendline against time showing the actual observed
values against these predicted values. We have loaded actual observed
values from a CSV file.
We tried:
actual_data = read.csv('actualdata.csv')
plot(actual_data,fore_cast)
Doesn't work, and using plot(actual_data) just shows some points in a straight line instead of curved trendline.
EDIT:
Sample output of fore_cast from dput:
structure(list(model = structure(list(lambda = 0.000438881055939422,
alpha = 0.65694875480321, beta = -0.0983972877836753, damping.parameter = 0.800419363290521,
gamma.one.values = c(-0.00150031474145603, -0.00124696854910294
), gamma.two.values = c(0.0023600487982342, -0.002465549595849
), ar.coefficients = NULL, ma.coefficients = NULL, likelihood = 13202.294346586,
optim.return.code = 0L, variance = 0.00855092137349485, AIC = 13258.294346586,
parameters = structure(list(vect = c(0.000438881055939422,
0.65694875480321, 0.800419363290521, -0.0983972877836753,
-0.00150031474145603, -0.00124696854910294, 0.0023600487982342,
-0.002465549595849), control = structure(list(use.beta = TRUE,
use.box.cox = TRUE, use.damping = TRUE, length.gamma = 4L,
p = 0, q = 0), .Names = c("use.beta", "use.box.cox",
"use.damping", "length.gamma", "p", "q"))), .Names = c("vect",
"control")), seed.states = structure(c(7.44188559667267,
0.00357069100887873, -0.0664300680553579, 0.0229067500159256,
0.00460111570469819, -0.00772324725408007, -0.000610110386029883,
0.00568378752162509, -0.0084050648066819, -0.0324093004247092,
-0.000720936399990958, -0.00705790547321605, -0.00738992950838566,
0.00180424326179638, -0.00107745502434416, 0.00242014705705761,
-0.01824679745657, 0.0123019701003545, -0.0245935735677402,
0.0181321397860132), .Dim = c(20L, 1L)), fitted.values = structure(c(1598.57443298879,
1435.74973092922, 1397.92464316794, 1296.90202189518, 1440.3201303663,
1544.11695101118, 1777.97079874181, 1766.50571671645, 1925.27360388028,
1863.26963233038, 1773.08363764691, 1887.26580055295, 1887.48006609474,
1841.66200850472, 1991.90290660363, 2233.04775631848, 2081.30246965768,
1872.12639817609, 1899.38583561568, 2213.43437455052, 2214.00832820531,
1745.36311914995, 1678.67975050944, 1502.35472259274, 1512.27350460399,
1456.14165844166, 1464.3803467642, 1517.99443293857, 1484.54280422369,
1382.37041287489, 1452.43700910726, 1545.16934543365, 1440.50974319508,
1475.59742668699, 1544.88546424501, 1790.95280713647, 1916.4267023671,
1928.72804180587, 1819.15839770808, 1916.43079357329, 1836.80043977753,
1720.25638746452, 1730.03629161412, 1614.6048115754, 1599.23641723244,
1635.86950932066, 1543.46360784778, 1641.35066985679, 1608.60556151299,
1651.47649465456, 1475.15006990464, 1403.67294742438, 1507.58932406857,
1666.3170708439, 1696.06132797576, 1543.32187293056, 1704.58043626911,
1914.72424191575, 2109.33624862625, 2092.98934458578, 2222.13355258602,
2084.68677709368, 1962.9230489947, 2045.61547393981, 2140.30565941261,
2097.46130996426, 2126.07936955385, 2226.18935508502, 2269.54492801286,
2300.37314952852, 2398.48786829541, 2303.31270702723, 2332.74139979969,
2146.51487558643, 2101.27480789243, 2111.61910899422, 2053.57840714969,
2046.56606362537, 2073.82870990658, 2094.88831798868, 2334.85185938782,
2541.72156227893, 2502.36031483721, 2398.12240784327, 2266.35832277135,
2151.05248890962, 2266.88803633019, 2366.19453856405, 2399.97570044332,
2341.74959623409, 2144.33465155869, 2102.91952061083, 2214.48622101851,
2179.48115699957, 2288.28092735955, 2224.55218736155, 2195.1506809087,
2163.94619334319, 2161.41843642149, 2134.75060670667, 2138.77895768654,
2142.84680080931, 2258.55072549978, 2297.90237035988, 2314.94197015208,
2300.99928929609, 2277.39754662665, 2291.06980363364, 2487.04257346235,
2381.05768214413, 2509.40078456481, 2657.61336243367, 2528.65026804303,
2434.2722174014, 2366.04811963942, 2270.6647135766, 2231.33965004538,
2376.51043520344, 2249.42861599343, 2193.98771109322, 2252.12327312365,
2210.76969838623, 2180.50451255189, 2221.92898123682, 2537.84678083006,
2329.57350097532, 2252.82349908982, 2143.92033677754, 2092.3142840022,
2084.70304624685, 2111.18929138546, 2160.05383108999, 2280.94409931504,
2118.22029344747, 2214.65738250204, 2269.05911898631, 2084.26658709038,
2016.04764576402, 2095.57091797435, 2161.07354463394, 2427.77607700887,
2333.91103594967, 2234.23838054763, 2250.71557301013, 2186.97925802073,
2129.51096829218, 2115.40228652934, 2094.89231085691, 2086.41044567131,
2180.94542608489, 2105.38187642016, 2459.45788915933, 2292.36325639374,
2410.75372754831, 2375.56640249604, 2491.11938114866, 2470.51372278037,
2464.95765202085, 2600.85929020727, 2709.48518695182, 2779.77558137814,
2518.29927341458, 2344.06621605191, 2391.56719713269, 2368.68842788795,
2199.93530349068, 2113.92970206565, 2458.96718445444, 3121.97852988865,
2559.40932439262, 2331.12829078836, 2238.54586985577, 2241.91440620202,
2225.29804576634, 2154.14147781021, 2060.57980596908, 2037.30100544426,
2215.93410789353, 2364.42668160056, 2518.72871618042, 2537.34279365294,
2473.76096855791, 2623.63387707374, 2589.08335304697, 2577.0563838788,
2349.53279218826, 2305.52193868551, 2232.63712180453, 2167.50003597208,
2320.23187534213, 2281.86365949586, 2281.21119271599, 2323.2014703372,
2185.94404743238, 2140.21863271207, 2011.67723856012, 1966.52063119589,
2002.67344212857, 1952.41101080662, 1988.37461163105, 2126.75137749373,
2239.14722292367, 2320.98046489603, 2444.91847853015, 2431.69548763034,
2514.73820659393, 2505.85249387343, 2888.19773974179, 2853.20690693738,
2502.20865871069, 2524.56894781003, 2659.52271740553, 2615.9025930681,
2923.69327019152, 2754.76074569658, 2784.59488335761, 2874.24378479002,
2683.41908597168, 2733.83011888159, 2774.1325162997, 2906.41593326865,
2726.06821502751, 2460.21579967528, 2450.8035097605, 2547.39389733175,
2625.60323572861, 2827.94083526683, 2971.92012845614, 3042.90981987278,
2835.00811374845, 2846.98066660519, 2871.21876763166, 2901.99696373824,
2627.47532996657, 2583.75084300313, 2602.68041642846, 2632.8054092953,
2667.85374690972, 2639.10586730146, 2466.95799545022, 2381.06823502402,
2531.32611053776, 2407.14812148706, 2342.75701798463, 2401.73791085847,
2365.50645844524, 2404.50408575777, 2452.57343738519, 2613.15332739214,
2665.50965844576, 2723.8237337447, 2915.09266385617, 2890.17498445896,
2853.6278331055, 2868.1228183545, 2917.07803535669, 2876.59409770233,
2577.82035337979, 2581.91435020803, 2520.20342021937, 2603.37973251208,
2536.03988578365, 2510.83398648802, 2472.80606784857, 2425.51212342113,
2442.02863541673, 2465.73405821711, 2384.42988766816, 2555.51500549788,
2737.77091706275, 2425.00224845814, 2460.17325671183, 2639.16650619329,
2816.37024420397, 2755.69999167982, 2802.64991688288, 2685.12803367301,
2521.77568128564, 2500.99980614696, 2620.41659854805, 2529.25134423133,
2590.14804885984, 2318.80485234464, 2341.88940012276, 2460.21008281205,
2513.70688167177, 2437.71670675479, 2383.29782281743, 2499.36244454453,
2472.98602901478, 2491.10649022417, 2350.1405559119, 2362.78308814045,
2431.3911847573, 2321.15216823049, 2355.74203614213, 2429.60523843166,
2355.61947983433, 2346.3751018515, 2453.82214513707, 2542.98125962684,
2342.43364707529, 2302.17741211575, 2388.93541944219, 2435.41878657221, ....
Sample output from dput for actual observed values:
structure(list(index12 = c(6297.416944, 5406.865556, 4718.355556,
5304.729167, 4968.014722, 5081.130833, 5544.955, 4655.009444,
4269.023056, 4346.588333, 4511.455833, 5102.57, 4818.673333,
4862.343056, 4785.176667, 5385.005278, 6469.080833, 7166.025278,
7010.708333, 511.114167)), .Names = "index12", class = "data.frame", row.names = c(NA,
-20L))

The value of Point is unusual in spite of hour unit data. I think you failed to make a model.
Here is my example:
actual_data <- structure(list(index12 = c(6297.416944, 5406.865556, 4718.355556,
5304.729167, 4968.014722, 5081.130833, 5544.955, 4655.009444,
4269.023056, 4346.588333, 4511.455833, 5102.57, 4818.673333,
4862.343056, 4785.176667, 5385.005278, 6469.080833, 7166.025278,
7010.708333, 511.114167)),
.Names = "index12", class = "data.frame", row.names = c(NA, -20L))
# I suppose that actual_data was taken per hour.
num_actual <- as.numeric(actual_data[,1])
model <- bats(num_actual)
fore_cast <- forecast(model, h=24, level=90)
fore_cast # Point is from 21 to 44 because of length(actual_data)=20 and demanding predictions for the next 24 hours
# Point Forecast Lo 90 Hi 90
# 21 5063.207 2902.187 7224.226
# 22 5108.114 2946.988 7269.241
# :
# 44 5108.114 2944.629 7271.600
# plot() has forecast method. It draws actual_data and prediction, and paints Lo90-Hi90.
plot(fore_cast, main="")

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