[R] Data Package Query
jrkrideau at inbox.com
Sat Jun 29 15:05:28 CEST 2013
I don't know what you think data(Trial) is doing but what it in fact is doing is trying to load a stored data set called Trial and it does not exist. Have a look at ?data to see what I mean.
In your program data(Trial) is redundant, well actually closer to meaningless.
Trial is already loaded since you created it in the read statement
Kingston ON Canada
> -----Original Message-----
> From: y_refai at hotmail.com
> Sent: Fri, 28 Jun 2013 12:31:11 +0000
> To: rolf.turner at xtra.co.nz, jdnewmil at dcn.davis.ca.us
> Subject: Re: [R] Data Package Query
> please advice what is wrong at the below syntax:
> fit<-logistf(data=Trial, y~x1+x2)
> and here is the error I get:
> "Warning message:
> In data(Trial) : data set ?Trial? not found
>> Date: Fri, 28 Jun 2013 10:29:21 +1200
>> From: rolf.turner at xtra.co.nz
>> To: jdnewmil at dcn.davis.ca.us
>> CC: y_refai at hotmail.com; r-help at r-project.org
>> Subject: Re: [R] Data Package Query
>> On 28/06/13 04:47, Jeff Newmiller wrote:
>>> A common error by beginners (which may or may not be your problem in
>>> this case) is to create a variable called "data". Unfortunately this
>>> hides the function named "data" and from that time forward that R
>>> session doesn't work when you type example code that uses the data
>> This is simply not true. I believe it *used* to be true, sometime
>> waaaaayyyy back,
>> but hasn't been true for years. The R language is much cleverer now.
>> If there
>> is a function "melvin()" somewhere on the search path and also a data
>> "melvin" (earlier on the search path) then doing
>> will correctly call the function melvin() with no complaints. The R
>> "can tell" by the parentheses that you mean the *function* melvin and
>> not the
>> data object "melvin".
>> data <- 42
>> Error: object 'akima' not found
>> data(akima) # No error message, nor nothin'!
>> # The data set "akima" is displayed.
>> All that being said it is ***BAD PRACTICE***, just in terms of
>> and avoiding confusion, to give a data set set the same name as a
>> (either built in, or one of your own).
>> is relevant.
>> Rolf Turner
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