I am simply plotting some forecast errors, however one of my lines is plotting way outside of the chart area when I am using R's plot
function
The data is as follows:
> Errors
1.week 2.weeks 4.weeks 8.weeks
1 -0.8315842 -2.0770613 -1.5939279 -1.0221132
2 2.3557692 1.6248861 3.7038422 5.1803585
3 4.5628527 3.7731578 6.3575075 9.1854482
4 -13.9020725 -13.8751169 -9.9692492 -5.7205310
5 -26.2018878 -25.6789948 -19.6533859 -14.5865603
6 -15.4871932 -15.2419860 -6.8434238 -0.8066797
7 -14.1347094 -14.2751777 -4.5532670 2.5371869
8 7.6573971 7.0516291 20.0454082 29.5035655
9 14.2423208 11.7158540 26.8344705 38.9592733
10 12.9404280 10.4012970 23.8946655 35.4711499
11 13.5389572 11.8270242 22.4562988 32.0706150
12 -16.0386215 -17.8927906 -9.0232955 -0.9692534
13 -8.5479951 -11.4090786 -3.6729858 3.3122453
14 -17.4529120 -21.1515732 -13.8185905 -7.4398603
15 -26.7000634 -32.3277592 -23.1025683 -15.1729123
16 -4.0032531 -12.2613379 -1.8825783 6.7213671
17 8.8957503 -0.9585969 9.9365482 19.0748503
18 32.0322364 19.9301513 34.8202923 46.4041208
19 28.0687543 13.6083628 31.6832461 45.0969812
20 -3.0728661 -16.5312407 -0.9657741 10.3036339
21 11.7878788 -3.0478064 13.8424842 25.9771667
22 9.9892550 -4.9871205 11.5740132 23.2690438
23 22.8998538 6.0118306 22.7025023 35.3195641
24 5.7808321 -10.5933649 4.4892100 17.1939799
25 -6.0924242 -21.5923200 -9.2917299 2.1220339
26 -11.7374904 -28.1082658 -15.9798464 -4.1112579
27 -15.0147630 -29.3107975 -18.0836088 -6.8478348
28 -24.9128044 -38.4231537 -27.1156275 -15.6860608
29 -37.9817750 -51.6920999 -39.2222444 -25.5189189
30 -13.6706635 -27.6301887 -12.9572997 4.1337481
31 11.1107518 -1.6798887 12.6577970 30.1665708
32 31.8661224 19.8344487 34.2043033 52.8466940
33 -10.3451693 -20.2538434 -7.4683061 9.4857313
34 -13.6655462 -25.3717809 -11.4776440 7.5315424
35 11.2209802 -4.4268833 11.5400743 34.4884934
36 17.5595027 -4.1725697 12.6989773 37.6937120
37 72.3065693 41.3124760 61.7028494 93.0466741
38 89.8718428 55.3121569 74.5758621 107.7117030
39 63.0495238 35.4953908 50.1743506 77.7465922
40 4.5273250 -13.0854353 -2.6323285 18.1108514
41 -35.0096805 -48.1653640 -40.5522281 -23.7343486
42 -38.8347996 -52.1927711 -44.3939981 -26.6579849
43 -22.7564612 -40.4697479 -30.9755202 -8.8881556
44 -13.3679435 -33.7536109 -23.0032210 2.4724771
45 -21.5969388 -39.8752151 -29.9660974 -5.3971963
46 -22.2257732 -40.7611160 -30.0873218 -2.5576712
47 41.9854318 17.0388007 32.5581635 72.6495345
48 -4.7979058 -22.0000000 -9.4891390 22.1506720
49 0.8379237 -16.0771325 -2.3059105 31.0642555
50 -48.0432432 -64.6712707 -52.6205779 -23.2243465
51 -31.9405286 -50.1658080 -38.1287671 -6.7165479
52 13.3228700 -6.7078972 5.6320178 39.4271923
53 -9.9223744 -28.5279383 -18.3334270 10.8911537
54 -53.0358796 -69.7852611 -60.7242951 -33.7608786
55 -89.4042056 -106.8017795 -97.2221262 -66.1765325
56 -103.2912736 -117.4078156 -109.6670551 -81.5685855
57 -72.8317422 -89.7210127 -80.3448276 -46.6401129
58 -10.6460606 -33.5872690 -21.9263346 23.1584507
59 44.2416769 18.7887617 30.1124849 78.4170944
60 44.5294118 20.8873684 30.3804447 73.9218079
61 10.4536213 -11.1676424 -2.9950724 35.7541848
62 -13.4498715 -33.8472297 -26.4354588 10.9618605
63 -63.7424837 -83.6746464 -77.0424528 -42.0920245
64 -48.7203166 -74.8127054 -65.6121866 -20.2087413
65 -54.8806366 -77.7627958 -69.0863171 -28.6426332
66 -23.3034759 -46.2179700 -37.3916828 3.1970803
67 -0.4412955 -23.6060606 -14.4324853 28.0687361
68 -39.1934605 -58.2712826 -50.0247934 -13.7366842
69 -6.1793103 -26.9323006 -17.4225871 21.8382838
70 -67.7006993 -86.3950260 -77.7722806 -44.0970399
71 -95.0128023 -112.5663925 -104.3164426 -73.0256679
72 -58.8480463 -81.8627685 -71.4795383 -31.1377660
73 -31.9423077 -54.7657492 -45.3222698 -3.9940266
74 19.1490964 -3.2852665 5.1545455 50.2359800
75 11.1428571 -7.3954082 0.8880652 43.2303546
76 36.2714724 16.8534538 27.1051243 74.8324168
77 -18.1261682 -37.0353403 -27.1089450 18.6923529
78 -4.6456693 -25.0848244 -14.1691176 37.1199284
79 -55.9234450 -70.8848485 -61.7751479 -22.0358990
80 -80.6779935 -92.1077763 -84.1910700 -54.3332299
81 -63.1845140 -74.0436590 -66.2472325 -38.5645570
82 -27.2136895 -45.7618041 -30.1320755 20.0032362
83 -45.6570458 -61.3812950 -45.2886109 0.1458056
84 59.9193825 35.7708029 65.4523810 142.0542107
85 77.8921739 53.8424963 87.0364701 170.8487600
86 191.6063269 163.8654573 209.0661157 321.5901464
87 62.0849558 46.1521906 84.5931883 167.5243004
88 92.6666667 81.5545171 126.6058394 210.9166035
89 3.2517986 -2.0382166 30.7330657 87.3248731
90 -19.4141049 -20.6461039 7.3760903 55.6041667
Below is the code I have used to plot these.
x1 = rep(1:90)
z1 = Errors[[1]]
z2 = Errors[[2]]
z3 = Errors[[3]]
Z4 = Errors[[4]]
plot(x1,z1,type="l",col="red", bty="L", xlab="Forecast Days",ylab="Error") #Plot first line
points(x1,z2,type="l",col="blue") #Add second
points(x1,z3,type="l",col="darkgoldenrod2") #Add third
points(x1,z4,type="l", lwd=3, col="green") #Add fourth
When the fourth line is plotted, it is way above the others, off the chart area and partially outside of the viewing window. When I have plotted them in the reverse order (4th to 1st) the 4th line plots fine and the 3rd to 1st plot way below the chart area in a similar fashion. I'm getting no sort of error message and I can't find any other examples of this to understand why this is happening.
I have used the same code and method to plot the original forecast data (the data the errors have been calculated for) and had no such issues.
I know I can use ggplot2 also for charting, however I do still use this method sometimes. Any help is appreciated.
Using some suggested changes to the code to include the ylim
still produces a similar result:
plot(x1,z1,type="l",col="red", bty="L", xlab="Forecast Days",ylab="Error", ylim = c(min(Errors),max(Errors))) #Plot first destination
points(x1,z2,type="l",col="blue") #Addition of second destination
points(x1,z3,type="l",col="darkgoldenrod2") #Addition of a third destination
points(x1,z4,type="l", lwd=3, col="green") #Addition of a third destination
The fourth line has come down but is still way off from where it should be as the data is all similar.