Dear Rxperts,
Sorry if I am posting a really really dumb request.. I am new to subversion
and am trying to use subversion to download the tables package as suggested
by Duncan. I installed subversion client(from collabnet) and tried to
access "tables" package using the command below.
svn checkout svn://scm.r-forge.r-project.org/svnroot/tables/
I get the following error message:
C:\Users\santosh\temp>svn checkout svn://
scm.r-forge.r-project.org/svnroot/tables/
svn: E730060: Unable to connect to a repository at URL
'svn://scm.r-forge.r-proj ect.org/svnroot/tables'
svn: E730060: Can't connect to host 'scm.r-forge.r-project.org': A
connection at tempt failed because the connected party did not properly
respond after a period of time, or established connection failed because
connected host has failed to
respond.
Is there anything additional I need to do with Subversion or with the
commands?
Regards,
Santosh
On Tue, Apr 23, 2013 at 5:13 AM, Duncan Murdoch <murdoch.dun...@gmail.com>wrote:
> On 13-04-23 6:31 AM, Duncan Murdoch wrote:
>
>> On 13-04-22 10:40 PM, David Winsemius wrote:
>>
>>>
>>> On Apr 22, 2013, at 5:49 PM, Santosh wrote:
>>>
>>> Dear Rxperts,
>>>> q <- data.frame(p=rep(c("A","B"),**each=10,len=30),
>>>> a=rep(c(1,2,3),each=10),id=**seq(30),
>>>> b=round(runif(30,10,20)),
>>>> c=round(runif(30,40,70)))
>>>> The operation below...
>>>> tabular(((p=factor(p))*(a=**factor(a))+1) ~ (N = 1) + (b + c)*
>>>> (mean+sd),data=q)
>>>> yields some rows of NAs and NaN as shown below
>>>>
>>>> b c
>>>> p a N mean sd mean sd
>>>> A 1 10 16.30 2.497 52.30 9.358
>>>> 2 0 NaN NA NaN NA
>>>> 3 10 15.60 2.716 60.30 8.001
>>>> B 1 0 NaN NA NaN NA
>>>> 2 10 15.40 2.366 57.70 10.414
>>>> 3 0 NaN NA NaN NA
>>>> All 30 15.77 2.473 56.77 9.601
>>>>
>>>> How do I remove the rows having N=0 ?
>>>> I would like the resulting table look like..
>>>> b c
>>>> p a N mean sd mean sd
>>>> A 1 10 16.30 2.497 52.30 9.358
>>>> 3 10 15.60 2.716 60.30 8.001
>>>> B 2 10 15.40 2.366 57.70 10.414
>>>> All 30 15.77 2.473 56.77 9.601
>>>>
>>>
>>> Here's a bit of a hack:
>>>
>>> tabular( (`p a`=interaction(p,a, drop=TRUE, sep=" ")) ~ (N = 1) + (b +
>>> c)*
>>> (mean+sd),data=q)
>>>
>>> b c
>>> p a N mean sd mean sd
>>> A 1 10 12.8 0.7888 52.1 8.020
>>> B 2 10 16.3 3.0569 54.9 8.711
>>> A 3 10 14.6 3.7771 56.5 6.980
>>>
>>> I have been rather hoping that Duncan Murdoch would have noticed the
>>> earlier thread, but maybe he can comment on whether there is a more direct
>>> route/
>>>
>>>
>> This isn't something that the package is designed to handle: if you say
>> p*a, it wants all combinations of p and a.
>>
>> If I wanted a table like that, I'd use a different hack. One
>> possibility is to create that interaction column, but display it as just
>> the initial letter, labelled p, and then add another column to contain
>> the a values as data. It would be tricky to get the formatting right.
>>
>> Another possibility is to generate the whole table with the N=0 rows,
>> and then post-process it to remove those rows, and adjust the row labels
>> appropriately. This approach probably gives the nicer result, but the
>> post-processing is quite messy: you need to delete some rows from the
>> table, from its rowLabels attribute, and from the justification
>> attributes of both the table and its rowLabels. (I should add a [
>> method to the package to hide this messiness.)
>>
>
> I've done this now, in version 0.7.54 on R-forge. To leave out the rows
> with N=0, you can select a subset of the table where N (the first column)
> is non-zero:
>
> tab <- tabular(((p=factor(p))*(a=**factor(a))+1) ~ (N = 1) + (b +
> c)*(mean+sd),data=q)
>
> tab[ tab[,1] > 0, ]
>
> and it produces this:
>
>
> b c
> p a N mean sd mean sd
> A 1 10 16.20 3.458 56.3 10.155
> 3 10 13.60 2.119 58.1 8.075
> B 2 10 14.40 2.547 51.2 9.438
> All 30 14.73 2.888 55.2 9.419
>
> Indexing of tables isn't as general as indexing of matrices, but most of
> the simple forms should work. I haven't tested yet, but I expect this will
> be fine in LaTeX or HTML (also new, not on CRAN yet) output as well.
>
> Duncan Murdoch
>
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