Thanks, Gabor! So, there is no way I can change some graphic parameters in
'matplot' to get this?
I forgot to mention that I purposely use type="b", so I know where the missing
data are. With imputed data, either using "b" or "l", there is no way to keep
track of NAs. Plus, in my real data sometimes there is only one non-missing
value in a particular column and na.approx can't work (well I could selectively
impute the NAs ... )
So far, my best solution to this is to use "xyplot". It does this by default,
but of course I need some data manipulation first.
...Tao
----------------------------------------
> From: ggrothendi...@gmail.com
> Date: Wed, 5 May 2010 15:45:44 -0400
> Subject: Re: [R] 'matplot' for matrix with NAs: broken lines
> To: shi...@hotmail.com
> CC: r-help@r-project.org
>
> Try this:
>
> library(zoo)
> matplot(na.approx(b), type = "l")
>
> On Wed, May 5, 2010 at 2:30 PM, Tao Shi wrote:
>>
>> Hi list,
>>
>> I know that points involving NAs are not plotted in 'matplot', but when I
>> plot them as lines, I still want the lines to connect all the points (i.e.
>> not broken where there are NAs). Please see the example below. How can I
>> achieve this in 'matplot'? If I can't, any good alternatives so I don't
>> have to use 'plot' + 'lines' and loop through all the columns.
>>
>> Many thanks!
>>
>> ...Tao
>>
>>> set.seed(1234)
>>> a=b=matrix(rnorm(9), 3,3)
>>> b[2,2]=NA
>>> matplot(a, type="b")
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>>> matplot(b, type="l") ## Now my data for the second column are missing from
>>> the graph
>>
>>
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