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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