[R] read.pnm question
Jeff Newmiller
jdnewmil at dcn.davis.CA.us
Fri Mar 22 14:44:04 CET 2013
This is off-topic in this forum. Please go to R-devel for questions about R-beta.
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Erin Hodgess <erinm.hodgess at gmail.com> wrote:
>In R-beta (Masked Marvel), when I do the example from the read.pnm help
>file, this is what happens:
>
>x <- read.pnm(system.file("pictures/logo.pgm",package="pixmpap")[1])
>Warning message:
>In rep(cellres, length=2): x is NULL so the result will be NULL
>
>In R-2.15.3, it's all right.
>
>Thanks,
>Erin
>
>
>On Fri, Mar 22, 2013 at 2:13 AM, Michael Weylandt <
>michael.weylandt at gmail.com> wrote:
>
>>
>>
>> On Mar 22, 2013, at 4:04, Erin Hodgess <erinm.hodgess at gmail.com>
>wrote:
>>
>> Dear R People:
>>
>> I am trying to replicate a cool example that I saw on the R-bloggers
>some
>> time ago by kafka399.
>>
>> Here are the lines tI think may be causing the trouble:
>>
>> gray_file <- read.pnm(path)
>>
>> pos[i,] <- c(gray_file at grey)
>>
>>
>> Hi Erin,
>>
>> This is basically impossible to debug as is -- though I do note you
>spell
>> that color between white and black inconsistently; could you please
>put
>> some effort into making a true reproducible example or, at the very
>least,
>> linking to the project you are attempting to replicate?
>>
>> Michael
>>
>>
>>
>http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
>>
>>
>>
>>
>> The warning error that I get is
>> "In rep(cellres, length=2): x is NULL so the result will be NULL
>>
>> Any suggestions would be much appreciated.
>>
>> Thanks,
>> Sincerely,
>> Erin
>>
>>
>>
>>
>>
>> --
>> Erin Hodgess
>> Associate Professor
>> Department of Computer and Mathematical Sciences
>> University of Houston - Downtown
>> mailto: erinm.hodgess at gmail.com
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>>
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