Thanks, Peter! The use of curve() is nice. (I hadn't come across
that function before, but then ... ).
Thanks also to Mark Difford for a further suggestion.
Ted.
On 11-May-10 18:27:37, Peter Ehlers wrote:
> Ted,
>
> Regarding the addition of a 'line' to a plot with log-y axis,
> there is a better way: curve() with 'add=TRUE' will respect
> the current plot's log setting:
>
> plot((1:10), log="y", yaxt="n")
> axis(side=2, at=c(1,2,5,10))
> f <- function(x, a=0, b=1) {a + b*x}
> curve(f, add = TRUE)
>
> -Peter
>
> On 2010-05-11 4:52, (Ted Harding) wrote:
>> Elisabeth and I have been corresponding off-list about this, and
>> came to a potential solution which is on the lines also outlined
>> by Mark Difford.
>>
>> Where Elisabeth (rather, her tutor) may have become confused may
>> lie in the fact that, with a simple plot(...,log="y"), R will
>> (by default) make its own decision about what numbers (in the raw
>> scale) to put on the Y-axis as annotations. These will be "nice"
>> (or, in R-doc-language, "pretty") numbers favouring simple multiples
>> and submultiples of powers of 10. That may be why the plot gave the
>> impression of being ""a logaritmic axis with the base of 10".
>>
>> The solution, as Elisabeth and I (and later Mark) came to was to
>> suppress the Y-axis in the first instance when using plot(),
>> thus plot(...,log="y",yaxt="n"). Then you add the annotation
>> you want ("custom Y-axis") using the axis() function. The example
>> we came to as paradigm was:
>>
>> set.seed(54321)
>> Y<- 70*runif(100)
>> pwrs2<-2^((floor(log2(min(Y))):ceiling(log2(max(Y)))))
>> ##[1] 0.5 1.0 2.0 4.0 8.0 16.0 32.0 64.0 128.0
>> ##as.character(pwrs2) =
>> ##[1] "0.5" "1" "2" "4" "8" "16" "32" "64" "128"
>>
>> plot(Y,log="y",yaxt="n",ylim=c(min(pwrs2),max(pwrs2)))
>>
>> axis(side=2,at=pwrs2,labels=as.character(pwrs2),las=1)
>>
>> It is looking as though this will be the basis for a successful
>> solution in Elisabeth's real application.
>>
>> However, there is another little "trap" lurking in there, best
>> illustrated by Mark's dataset:
>>
>> plot((1:10), log="y", yaxt="n")
>> axis(side=2, at=c(1,2,5,10))
>>
>> Here the data are X=(1:10), Y=(1:10), i.e. a straight line Y=X
>> in the raw (X,Y) plane. No purer candidate for a regression line
>> could be imagined. So let us try to add the regression to the plot.
>> Since it joins (0,0) to (10,10), let's try (after the above plot
>> commands):
>>
>> lines(c(1,10),c(1,10))
>>
>> Well, this has taken the points (1,1) and (10,10) on the plot,
>> with the Y-axis duly scaled logarithmically, and joined them.
>> But what it has joined them with is a straight line on the
>> logarithmic plot itself. I.e. it has not computed intermediate
>> points on a logarithmic scale. Therefore, as a logarithmic
>> representation of the straight-line regression Y=X, it is false!
>>
>> One solution is to construct it explicitly over the intermediate
>> points:
>>
>> lines(0.1*(10:100),0.1*(10:100))
>>
>> so that now each intermediate point has its Y-coordinate log
>> transformed, and the straight-line segments on the graph will
>> now approximate to the logarithmic curve that one wanted in the
>> first place.
>>
>> I don't know of another way to do this: for instance, log="y" will
>> not work with lines(), since '"log" is not a graphical parameter'.
>>
>> Ted.
>>
>> --------------------------------------------------------------------
>> E-Mail: (Ted Harding)<ted.hard...@manchester.ac.uk>
>> Fax-to-email: +44 (0)870 094 0861
>> Date: 11-May-10 Time: 11:52:30
>> ------------------------------ XFMail ------------------------------
>>
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>>
>>
>
> ______________________________________________
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> PLEASE do read the posting guide
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--------------------------------------------------------------------
E-Mail: (Ted Harding) <ted.hard...@manchester.ac.uk>
Fax-to-email: +44 (0)870 094 0861
Date: 11-May-10 Time: 21:51:39
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