Thanks Phil, very helpful and works as advertised.
Any thoughts on the second question?
(P.S. for anyone digging this up in the future, there's a comma missing after
the formula in lm())
On 24 Sep 2010, at 18:16, Phil Spector wrote:
> Michael -
> You're doing too much work half the time, and not enough
> the other half :-). Try this (untested):
>
> auto_io = function(data_name,factors){
> resp_data = read.table(data_name, header = TRUE )
> temp_model = lm(formula(paste('y',factors,sep='~')) data = resp_data )
> . . .
>
> - Phil Spector
> Statistical Computing Facility
> Department of Statistics
> UC Berkeley
> spec...@stat.berkeley.edu
>
>
> On Fri, 24 Sep 2010, Michael Hopkins wrote:
>
>>
>>
>> Hi all
>>
>> A couple of questions about string processing from someone who has only
>> scratched the surface so far.
>>
>> 1) I am wanting to send some strings into a function to allow flexibility
>> inside. My first idea has been e.g.
>>
>> auto_io <- function( var_string, factors ) {
>> # e.g. var_string sent as "test_file.txt" factors sent as "x1 + x2 + x3"
>>
>> # input
>> data_name <- get( var_string )
>>
>> # term_list <- get( factors )
>>
>> resp_data <- read.table( data_name,
>> header = TRUE )
>>
>> # fit
>> temp_model <- lm( y ~ factors, data = resp_data )
>>
>> etc...
>>
>> Neither the read.table() nor the lm() are working because in each case the
>> string is not converted or understood properly. I'm sure this is possible
>> (and in fact probably easy) but haven't yet seen the light. Could someone
>> illuminate me here?
>>
>> 2) I will be wanting to process strings as lists of strings. For instance,
>> I might instead want to send factors above as "x1 x2 x3" and add the "+"
>> when I need them, or perhaps "*" instead, and also look at sub-models by
>> removing parts of the string etc. What functions should I be looking at
>> here and are there any examples available?
>>
>> Thanks in advance. Feel free to CC me on your reply.
>>
>>
>> Michael Hopkins
>> Algorithm and Statistical Modelling Expert
>>
>> Upstream
>> 23 Old Bond Street
>> London
>> W1S 4PZ
>>
>> Mob +44 0782 578 7220
>> DL +44 0207 290 1326
>> Fax +44 0207 290 1321
>>
>> hopk...@upstreamsystems.com
>> www.upstreamsystems.com
>>
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>>
Michael Hopkins
Algorithm and Statistical Modelling Expert
Upstream
23 Old Bond Street
London
W1S 4PZ
Mob +44 0782 578 7220
DL +44 0207 290 1326
Fax +44 0207 290 1321
hopk...@upstreamsystems.com
www.upstreamsystems.com
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