[R] Using options(max.print = 1000000) to read in data

[Rui Barradas]

Hello,

Inline.

Às 15:26 de 08/07/19, Spencer Brackett escreveu:
> Thank you,
> 
> Here is a summary of the resulting output....
> 
>> nrow(GBM.txt)
> [1] 20530
>> ncol(GBM.txt)
> [1] 173
> 
> This corresponds with the info found in my global environment for the
> object indicated. Now, how do I go about determining if the dataset is a
> matrix?

Try any of

str(GBM.txt)
class(GBM.txt)

Also, like Kevin said, max.print only affects how much is printed, not 
the read functions. Why change max.print at all? The default value 
(1000) is large enough, I have never needed to see more than this at a 
time. In fact, to have an idea of the data I would rather further limit 
the number of matrix lines printed with

head(object)
tail(object)



Hope this helps,

Rui Barradas
> 
> 
> On Mon, Jul 8, 2019 at 10:16 AM Kevin Thorpe <kevin.thorpe using utoronto.ca>
> wrote:
> 
>>
>>> On Jul 8, 2019, at 10:06 AM, Spencer Brackett <
>> spbrackett20 using saintjosephhs.com> wrote:
>>>
>>> Hello,
>>>
>>>   I am trying to reload some data into R in order to check to see if it is
>>> formatted as a matrix. I used the command options(max.print = 10000000)
>> to
>>> account for the 20,000 some rows omitted previously when just using the
>>> basic version of this function. After entering this command, the dataset
>>> mostly loaded into R, but 14717 rows were still omitted.
>>>
>>>   Can I simply increase the number indicted after 'max.print =' to read in
>>> the remaining rows, or should I use 'bigfile.sample <-' or
>>> 'bigfile.colclass <-' instead? Do I even need to read in all of the rows
>> to
>>> test for a matrix?
>>>
>>> Best,
>>>
>>> Spencer
>>>
>>
>> I don’t think this option affects how much data is read in, just how much
>> is printed to the screen. Use the function str() on your imported object to
>> see how many rows, among other things, were brought in.
>>
>>
>>>        [[alternative HTML version deleted]]
>>>
>>> ______________________________________________
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>>> PLEASE do read the posting guide
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>>
>>
>> --
>> Kevin E. Thorpe
>> Head of Biostatistics,  Applied Health Research Centre (AHRC)
>> Li Ka Shing Knowledge Institute of St. Michael's
>> Assistant Professor, Dalla Lana School of Public Health
>> University of Toronto
>> email: kevin.thorpe using utoronto.ca  Tel: 416.864.5776  Fax: 416.864.3016
>>
>>
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.
>