[R] Stacking two graphs with different x and y scale on the same graph
Rui Barradas
ru|pb@rr@d@@ @end|ng |rom @@po@pt
Wed Nov 27 07:58:44 CET 2019
Hello,
The following is not a complete solution, the axis ranges are wrong, but
it gets you closer, I think.
op <- par(mar = c(5, 5, 5, 5))
plot(c(x1, x2), c(y1, y2), type = "n",xaxt="n", yaxt="n",
ylim = range(c(y1, y2)))
par(new=TRUE)
plot(x1,y1,pch=0,type="b",col="red",yaxt="n",
xlab = "", ylab="")
axis(side=2, at=c(-5,0,2))
mtext("red line", side = 2, line=2.5, at=0)
par(new=TRUE)
plot(x2, y2, pch = 1,type="b",col="blue",
xaxt="n", yaxt="n",
xlab="", ylab="")
axis(side=4, at=c(-5,-1,0), labels=c("98%","100%","102%"))
mtext("blue line", side=4, line=2.5, at=0)
par(op)
Hope this helps,
Rui Barradas
Às 02:53 de 27/11/19, Ogbos Okike escreveu:
> Dear Contributors,
> I have two data. A is of the form:
> 05 01 01 -0.00376058013285748
> 05 01 02 -0.0765481943910918
> 05 01 03 -1.28158758599964
> 05 01 04 -1.51612545416506
> 05 01 05 -1.39481276373467
> 05 01 06 -1.17644992095997
> 05 01 07 -0.788249311582716
> 05 01 08 -0.925737027403825
> 05 01 09 -1.02278717974814
> 05 01 10 -0.982349616271341
> 05 01 11 -0.61032403228481
> 05 01 12 -0.197860884821482
> 05 01 13 -0.173598346735404
> 05 01 14 -0.270648499079717
> 05 01 15 -0.173598346735404
> 05 01 16 -0.343436113337951
> 05 01 17 -0.949999565489903
> 05 01 18 -3.60270372956778
> 05 01 19 -5.47091916219579
> 05 01 20 -4.67834291805057
> 05 01 21 -5.42239408602363
> 05 01 22 -4.19309215632901
> 05 01 23 -1.79918839850264
> 05 01 24 -1.04704971783422
> 05 01 25 -0.642674083066247
> 05 01 26 -0.505186367245138
> 05 01 27 -0.472836316463701
> 05 01 28 -0.537536418026576
> 05 01 29 -0.311086062556513
> 05 01 30 -0.00376058013285748
> 05 01 31 -0.254473473688998
> 05 02 01 -0.197860884821482
> 05 02 02 -0.23021093560292
> 05 02 03 -0.238298448298279
> 05 02 04 -0.157423321344685
> 05 02 05 -0.060373169000373
> 05 02 06 0.109464597602174
> 05 02 07 0.02858947064858
> 05 02 08 -0.0846357070864511
> 05 02 09 -0.189773372126123
> 05 02 10 -0.278736011775076
> 05 02 11 -0.302998549861154
> 05 02 12 -0.0684606816957324
> 05 02 13 0.0852020595160955
> 05 02 14 0.133727135688252
> 05 02 15 0.0528520087346581
> 05 02 16 0.0771145468207362
> 05 02 17 -0.0361106309142949
> 05 02 18 -0.205948397516842
> 05 02 19 -0.383873676814748
> 05 02 20 -0.383873676814748
> 05 02 21 -0.294911037165795
> 05 02 22 -0.197860884821482
> 05 02 23 -0.214035910212201
> 05 02 24 -0.165510834040045
> 05 02 25 -0.0522856563050137
> 05 02 26 0.0366769833439393
> 05 02 27 0.141814648383611
> 05 02 28 0.101377084906814
> 05 03 01 0.15798967377433
> 05 03 02 0.222689775337205
> 05 03 03 0.27930236420472
> 05 03 04 0.327827440376876
> 05 03 05 0.214602262641845
> 05 03 06 0.133727135688252
> 05 03 07 0.166077186469689
> and B is of the form:
> 05 01 03 1.0401704890785
> 05 01 04 1.1881431442713
> 05 01 05 0.899433543239033
> 05 01 06 0.495029973508058
> 05 01 18 2.51141960034673
> 05 01 19 4.80818567931821
> 05 01 20 3.82649399122216
> 05 01 21 4.75619054623929
> 05 01 22 3.25702525028531
> 05 01 23 0.328654748869008
> 05 02 10 0.0689360507407491
> 05 02 11 0.192369729879942
> 05 02 15 0.0684297713902015
> 05 02 16 0.100584435166215
> 05 02 17 0.295302934161718
> 05 02 18 0.552388788420635
> 05 02 19 0.811732847306371
> 05 02 20 0.843313045760178
> 05 02 21 0.757193220375875
> 05 02 22 0.65352100387166
> 05 02 23 0.68252482652902
> 05 02 24 0.624510062816789
> 05 02 25 0.479854370620533
> 05 02 26 0.359002279153697
> 05 02 27 0.212459089641907
> 05 02 28 0.240784160160447
> 05 03 01 0.144583652487177
> 05 03 02 0.0345028244394553
> 05 03 21 0.023582430982633
> 05 03 22 0.000293765928922767
> 05 03 27 0.0440288222469235
> 05 03 28 0.106263428254761
> 05 03 29 0.291212461872628
> 05 03 30 0.198305017329253
> 05 03 31 0.186935599530143
> 05 04 01 0.316471519561273
> 05 04 02 0.266260602009615
> 05 04 03 0.0456391152384458
> 05 04 04 0.113939833419049
> 05 04 05 0.140500137811164
> 05 04 06 0.374670064516577
> 05 04 07 0.295820206701906
> 05 04 08 0.0833493810907385
> 05 04 10 0.0253248646840757
> 05 04 11 0.188773903020133
> 05 04 12 0.206619775067284
> 05 04 13 0.408503282817833
> 05 04 14 0.344129922512134
> 05 04 15 0.283273728250647
> 05 04 16 0.155780334719261
> 05 04 17 0.0815692243668445
> B is extracted from A and I wish to plot A and B on the same x-axis
> but different y axis on the same graph. Stacking very close helps to
> illustrates the common rapid variations in A, represented in B.
>
> One of the codes I tried without success is:
> data <- read.table("A", col.names = c("year", "month", "day", "counts"))
>
> new.century <- data$year < 50
>
> data$year <- ifelse(new.century, data$year + 2000, data$year + 1900)
>
> data$date <- as.Date(ISOdate(data$year, data$month, data$day))
> x1 = data$date
> y1=data$counts
> #y1=scale(data$counts)
>
>
> data <- read.table("B", col.names = c("year", "month", "day", "counts"))
>
> new.century <- data$year < 50
>
> data$year <- ifelse(new.century, data$year + 2000, data$year + 1900)
>
> data$date <- as.Date(ISOdate(data$year, data$month, data$day))
> x2 = data$date
> y2=data$counts
>
>
> pdf("PLOT.pdf")
>
> par(mar=c(5,5,5,5))
>
> plot(x1,y1,pch=0,type="b",col="red",yaxt="n",ylim=c(-5.470919,1.298329),ylab="")
> axis(side=2, at=c(-6,0,2))
> mtext("red line", side = 2, line=2.5, at=0)
>
> par(new=TRUE)
> plot(x2,y2,pch=1,type="b",col="blue",yaxt="n",ylim=c(-4.808186,0.0), ylab="")
> axis(side=4, at=c(-5,-1,0), labels=c("98%","100%","102%"))
> mtext("blue line", side=4, line=2.5, at=100)
> dev.off()
>
> Your assistance is ever appreciated.
> Best wishes
> Ogbos
>
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