To get 0.5 Ticks the script was corrected another time ;)
## R-Help 2014-05-28 asked by Bastian Pöschl solved by Gabor Grothendieck
library("zoo")
## generate some smooth timeseries
x1 <- c(38.2, 18.1, 83.2, 42.7, 22.8, 48.1, 81.8, 129.6, 52.0, 110.3)
x2 <- c(2.2, 0.8, 0.7, 1.6, 0.9, 0.9, 1.1, 2.8, 5.1, 2.1)
z1 <- zooreg(x1, start=as.POSIXct("2013-01-01 00:00:01"), frequency=0.0000006)
z2 <- zooreg(x2, start=as.POSIXct("2013-01-01 00:00:20"), frequency=0.0000006)
zt <- zooreg(rnorm(1050), start=as.POSIXct("2013-01-01 00:00:01"),
frequency=0.00007)
z<-merge(zt, z1, all = TRUE)
z<-merge(z, z2, all = TRUE)
Zf<-na.spline(z[,2:3], na.rm = FALSE)
## ## ## ##
## function to round up to a number divisible by n (2011 by Owen Jones)
roundup <- function(x,n){ceiling(ceiling(x)/n)*n}
## ## ## ##
## Plot How to match secondary Y-axis ticks to primary ones
plot(Zf$z1, ylim=c(0,signif(max(na.omit(Zf$z1)),2)), xlab="")
## use multiplication for even tick numbers and fake sekondary y-axis
y2at<-par("yaxp")[3]/floor(par("yaxp")[3]/max(na.omit(Zf$z1))) ##
This is the changed line to get 0.5 steps etc.
max.yl<-roundup(max(na.omit(Zf$z1)), y2at)
multipl.yl<-max(na.omit(Zf$z2))/max.yl
multipl.z2<-signif(max(na.omit(Zf$z1)*1.05),2)/max.yl
lines(Zf$z2*multipl.z2, lty=2)
at4 <- axTicks(4)
axis(4, at = at4, seq(0, max.yl, length.out=par("yaxp")[3]+1))
abline(h = at4, lty = "dotted", col="grey")
2014-05-28 14:02 GMT+02:00 Bastian Pöschl <bstan0...@gmail.com>:
> Sorry the last post has got a mistake,
> here is the corrected version:
>
> ## R-Help 2014-05-28 asked by Bastian Pöschl solved by Gabor Grothendieck
> library("zoo")
>
> ## generate some smooth timeseries
> x1 <- c(38.2, 18.1, 83.2, 42.7, 22.8, 48.1, 81.8, 129.6, 52.0, 110.3)
> x2 <- c(2.2, 0.8, 0.7, 1.6, 0.9, 0.9, 1.1, 2.8, 5.1, 2.1)
>
> z1 <- zooreg(x1, start=as.POSIXct("2013-01-01 00:00:01"),
> frequency=0.0000006)
> z2 <- zooreg(x2, start=as.POSIXct("2013-01-01 00:00:20"),
> frequency=0.0000006)
> zt <- zooreg(rnorm(1050), start=as.POSIXct("2013-01-01 00:00:01"),
> frequency=0.00007)
>
> z<-merge(zt, z1, all = TRUE)
> z<-merge(z, z2, all = TRUE)
> Zf<-na.spline(z[,2:3], na.rm = FALSE)
> ## ## ## ##
>
> ## function to round up to a number divisible by n (2011 by Owen Jones)
> roundup <- function(x,n){ceiling(ceiling(x)/n)*n}
> ## ## ## ##
>
> ## Plot How to match secondary Y-axis ticks to primary ones
> plot(Zf$z1, ylim=c(0,signif(max(na.omit(Zf$z1)),2)), xlab="")
>
> ## use multiplication for even tick numbers and fake sekondary y-axis
> max.yl<-roundup(max(na.omit(Zf$z2)), par("yaxp")[3])
> multipl.yl<-max(na.omit(Zf$z2))/max.yl
> multipl.z2<-signif(max(na.omit(Zf$z1)*1.05),2)/max.yl
> lines(Zf$z2*multipl.z2, lty=2)
> at4 <- axTicks(4)
> axis(4, at = at4, seq(0, max.yl, length.out=par("yaxp")[3]+1))
>
> abline(h = at4, lty = "dotted", col="grey")
>
>
> The Result is a time series plot of two variables, with nice ticks at
> primary and secondary y-axis at the same height connected with reference
> lines and thus easy to read.
>
>
> 2014-05-28 12:56 GMT+02:00 Gabor Grothendieck <ggrothendi...@gmail.com>:
>
>
> 2014-05-28 13:22 GMT+02:00 Bastian Pöschl <bstan0...@gmail.com>:
>
>> Thank you,
>> this is the solution.
>> I just replaced at4/20 by seq(0, max.yl, length.out=par("yaxp")[3]+1) so
>> it should work with any scale.
>> here is the final code that worked for me:
>>
>> ## R-Help 2014-05-28 asked by Bastian Pöschl solved by Gabor Grothendieck
>>
>>
>> library("zoo")
>>
>> ## generate some smooth timeseries
>> x1 <- c(38.2, 18.1, 83.2, 42.7, 22.8, 48.1, 81.8, 129.6, 52.0, 110.3)
>> x2 <- c(2.2, 0.8, 0.7, 1.6, 0.9, 0.9, 1.1, 2.8, 5.1, 2.1)
>>
>> z1 <- zooreg(x1, start=as.POSIXct("2013-01-01 00:00:01"),
>> frequency=0.0000006)
>> z2 <- zooreg(x2, start=as.POSIXct("2013-01-01 00:00:20"),
>> frequency=0.0000006)
>> zt <- zooreg(rnorm(1050), start=as.POSIXct("2013-01-01 00:00:01"),
>> frequency=0.00007)
>>
>> z<-merge(zt, z1, all = TRUE)
>> z<-merge(z, z2, all = TRUE)
>> Zf<-na.spline(z[,2:3], na.rm = FALSE)
>> ## ## ## ##
>>
>> ## function to round up to a number divisible by n (2011 by Owen Jones)
>> roundup <- function(x,n){ceiling(ceiling(x)/n)*n}
>> ## ## ## ##
>>
>> ## Plot How to match secondary Y-axis ticks to primary ones
>> plot(Zf$z1, ylim=c(0,signif(max(na.omit(Zf$z1)*1.05),2)), xlab="")
>> ## use multiplication for even tick numbers and fake sekondary y-axis
>> max.yl<-roundup(max(na.omit(Zf$z2)), par("yaxp")[3])
>> multipl.yl<-max(na.omit(Zf$z2))/max.yl
>> multipl.z2<-signif(max(na.omit(Zf$z1)*1.05),2)/max.yl
>> lines(Zf$z2*multipl.z2, lty=2)
>> at4 <- axTicks(4)
>> axis(4, at = at4, seq(0, max.yl, length.out=par("yaxp")[3]+1))
>>
>> abline(h = at4, lty = "dotted", col="grey")
>>
>>
>> The Result is a time series plot of two variables, with nice ticks at
>> primary and secondary y-axis at the same height connected with reference
>> lines and thus easy to read.
>>
>>
>> 2014-05-28 12:56 GMT+02:00 Gabor Grothendieck <ggrothendi...@gmail.com>:
>>
>>> On Wed, May 28, 2014 at 4:28 AM, Bastian Pöschl <bstan0...@gmail.com>
>>> wrote:
>>> > Thank you for the quick reply,
>>> >
>>> > your advice wasn't exactly what I was looking for.
>>> > The plot 1 of the example was ment to show my problem:
>>> > the secondary axis has it's first tick at the intersection with the
>>> > x-axis
>>> > whereas the primary y-axis shows a nice little offset.
>>> >
>>> > Using your advice i copied the y axis and tried to solve the Problem
>>> > "by
>>> > foot". Unfortunately the lable text isn't willing to center to the
>>> > ticks
>>> >
>>> > Here is the code:
>>> >
>>> > ## R-Help 2014-05-28
>>> >
>>> > ## Test second. Y-Axix
>>> > library("zoo")
>>> >
>>> > ## generate some smooth timeseries
>>> > x1 <- c(38.2, 18.1, 83.2, 42.7, 22.8, 48.1, 81.8, 129.6, 52.0, 110.3)
>>> > x2 <- c(2.2, 0.8, 0.7, 1.6, 0.9, 0.9, 1.1, 2.8, 5.1, 2.1)
>>> >
>>> > z1 <- zooreg(x1, start=as.POSIXct("2013-01-01 00:00:01"),
>>> > frequency=0.0000006)
>>> > z2 <- zooreg(x2, start=as.POSIXct("2013-01-01 00:00:20"),
>>> > frequency=0.0000006)
>>> > zt <- zooreg(rnorm(1050), start=as.POSIXct("2013-01-01 00:00:01"),
>>> > frequency=0.00007)
>>> >
>>> > z<-merge(zt, z1, all = TRUE)
>>> > z<-merge(z, z2, all = TRUE)
>>> > Zf<-na.spline(z[,2:3], na.rm = FALSE)
>>> > ## ## ## ##
>>> >
>>> > ## Plot How to match secondary Y-axis ticks to primary ones
>>> > plot(Zf$z1, ylim=c(0,signif(max(na.omit(Zf$z1)*1.05),2)), xlab="")
>>> >
>>> > ## function to round up to a number divisible by n (2011 by Owen Jones)
>>> > roundup <- function(x,n){ceiling(ceiling(x)/n)*n}
>>> > ## ## ## ##
>>> >
>>> > ## use multiplication for even tick numbers and fake sekondary y-axis
>>> > max.yl<-roundup(max(na.omit(Zf$z2)), par("yaxp")[3])
>>> > multipl.yl<-max(na.omit(Zf$z2))/max.yl
>>> > multipl.z2<-signif(max(na.omit(Zf$z1)*1.05),2)/max.yl
>>> > lines(Zf$z2*multipl.z2, lty=2)
>>> > axis(4, labels = FALSE)
>>> > abline(h = axTicks(4), lty = "dotted", col="grey")
>>> > lablist.y<-seq(0, max.yl, length.out=par("yaxp")[3]+1)
>>> >
>>> > ## my problem!! text doesn't center to the ticks
>>> > text(y = seq(0, signif(max(na.omit(Zf$z1)*1.05),2),
>>> > length.out=par("yaxp")[3]+1),
>>> > par("usr")[2]+(par("usr")[2]-par("usr")[1])*0.025, labels = lablist.y,
>>> > srt =
>>> > 90, pos = 4, xpd = TRUE)
>>> >
>>>
>>> If the problem is to center the labels on the right y axis then try this:
>>>
>>> plot(Zf$z1, ylim=c(0,signif(max(na.omit(Zf$z1)*1.05),2)), xlab="")
>>> lines(Zf$z2*multipl.z2, lty=2)
>>>
>>> at4 <- axTicks(4)
>>> axis(4, at = at4, at4/20)
>>> abline(h = at4, lty = "dotted", col="grey")
>>
>>
>
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