Displaying 20 results from an estimated 4000 matches similar to: "Stepwise procedures"
2004 Apr 14
1
Variable Descriptors
Is there a way to associate text descriptions with variables in a
data.frame?
For example...
Let's say that in my data.frame I have a variable named var1. var1
represents the responses to the question "When was the last time you saw
your physician?" When I tabulate the variable var1 I'd like the output to
be a bit more descriptive and contain the more descriptive
2003 May 07
2
"Program" files
Is there any such thing as a program file in R? That is, is it possible to
compile and save code for performing data management and analytic tasks for
a given project into a single/multiple file(s) (i.e., like a script file
(S-Plus), a do file (STATA), or a *.sas file (SAS))?
Any words of wisdom or a point in the direction of some documentation would
be helpful. If it is not possible to work
2003 Jun 18
2
Forward stepwise procedure w/ stepAIC
I'm attempting to select a model using stepAIC. I want to use a forward
selection procedure. I have specified a "scope" option, but must not be
understanding how this works. My results indicate that the procedure begins
and ends with the "full" model (i.e., all 17 independent variables)...not
what I expected. Could someone please point out what I'm not
2003 Apr 24
3
Detailed contingency tables
Is there any existing function for creating contingency tables that will
display counts, row, column, and cell percentages in the same
tables....anything similar to crosstabs in S?
Marc W. Zodet, MS
Health Statistician
Center for Cost and Financing Studies
Division of Statistical Research and Methods
2101 East Jefferson Street, Suite 500
Rockville, Maryland 20852
Phone: 301-594-7072
Fax:
2004 Jul 23
2
Complex Surveys...Specifying Design
I need some guidance from someone who is familiar/has some experience with
the survey package.
The data that I am using is from the Medical Expenditure Panel Survey
(www.meps.ahrq.gov <http://www.meps.ahrq.gov/> ). The STRATA and PSU
variables are varstr01 and varpsu01 respectively. When I try to specify
them with the svydesign function I get an error message. An excerpt of my
session
2003 Sep 17
3
3D plot/surface rotation
How do I rotate 3D plots/surfaces generated by either cloud or wireframe?
Thanks.
Marc
Marc W. Zodet, MS
Health Statistician
Agency for Healthcare Research and Quality
[[alternative HTML version deleted]]
2003 Jun 18
1
3-way Interactions w/ stepAIC
I'm attempting to use stepAIC to select a model through a forward procedure.
I want to consider up to all 3-way interactions.
I've attempted to use the following code:
m2.Fwd3way <- stepAIC(m1.Ionly, direction="forward",
scope=list(upper=~(var1 + var2 + var3 + var4)^3,
lower=~1))
When I submit this the trace indicates that only 2-way
2003 Sep 11
2
Sorting
What is the best way to sort a dataframe?
For example, how would I go about sorting a dataframe (with variables V1-V5)
by ascending V1, V2 and descending V3 while retaining V4 and V5.
Also, is there a relatively easy way by which to re-order my columns?
Thank you for your time.
Marc
Marc Zodet
[[alternative HTML version deleted]]
2007 Jun 26
1
Subscripting specified variables in a function
I'm trying to create a function which will allow me to subset a data set
based on values of various specified variables. I also want to then
apply some other function(s) (e.g., summary).
This is what I've tried so far....
> test.fx <- function(dta, expvar, expval) {
+ newdta <- subset(dta, eval(expvar)>expval)
+ summary(newdta$eval(expvar))
+ }
>
>
2008 May 09
2
Stepwise regression
I am using stepAIC for stepwise regression modeling.
Is there a way to change the entry and exit alpha levels for the
stepwise regression using stepAIC ?
Many thanks,
Berthold
Berthold Stegemann
Bakken Research Center
Maastricht
The Netherlands
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2011 Dec 22
2
Stepwise in lme
I'm manually doing a form of stepwise regression in a mixed model but with
many variables, it is time consuming. I thought I'd try to use an automated
approach. stepAIC gave me false convergence when I used it with my model,
so I thought it can't be hard to set up a basic program to do it based on
the p-values. Thus I tried a couple of (very) crude options:
1) trying to
2003 May 08
2
Forward Stepwise regression with stepAIC and step
Dear all,
I cannot seem to get the R functions step or stepAIC to perform forward
or stepwise regression as I expect. I have enclosed the example data in
a dataframe at the end of this mail. Note rubbish is and rnorm(17) variable
which I have deliberately added to the data to test the stepwise procedure.
I have used
wateruse.lm<-lm(waterusage~.,data=wateruse) # Fit full model
2005 Dec 08
1
mle.stepwise versus step/stepAIC
Hello,
I have a question pertaining to the stepwise regression which I am trying to
perform. I have a data set in which I have 14 predictor variables
accompanying my response variable. I am not sure what the difference is
between the function "mle.stepwise" found in the wle package and the
functions "step" or "stepAIC"? When would one use
2006 Jun 14
3
A question about stepwise procedures: step function
Dear all,
I tried to use "step" function to do model selection, but I got an error massage. What I don't understand is that data as data.frame worked well for my other programs, how come I cannot make it run this time. Could you please tell me how I can fix it?
***************************************************************************************************
2005 Feb 24
2
Forward Stepwise regression based on partial F test
I am hoping to get some advise on the following:
I am looking for an automatic variable selection procedure to reduce the
number of potential predictor variables (~ 50) in a multiple regression
model.
I would be interested to use the forward stepwise regression using the
partial F test.
I have looked into possible R-functions but could not find this
particular approach.
There is a function
2006 Apr 28
4
stepwise regression
Dear all,
I have encountered a problem when perform stepwise regression.
The dataset have more 9 independent variables, but 7 observation.
In R, before performing stepwise, a lm object should be given.
fm <- lm(y ~ X1 + X2 + X3 + X11 + X22 + X33 + X12 + X13 + X23)
However, summary(fm) will give:
Residual standard error: NaN on 0 degrees of freedom
Multiple R-Squared: 1, Adjusted
2009 May 05
2
Stepwise logistic Regression with significance testing - stepAIC
Hello R-Users,
I have one binary dependent variable and a set of independent variables (glm(formula,…,family=”binomial”) ) and I am using the function stepAIC (“MASS”) for choosing an optimal model. However I am not sure if stepAIC considers significance properties like Likelihood ratio test and Wald test (see example below).
> y <- rbinom(30,1,0.4)
> x1 <- rnorm(30)
> x2
2008 Oct 22
1
forward stepwise regression using Mallows Cp
So I recognize that:
1. many people hate forward stepwise regression (i've read the archives)--but I need it
2. step() or stepAIC are two ways to get a stepwise regression in R
But here's the thing: I can't seem to figure out how to specify that I want the criteria to be Mallow's Cp (and then to subsequently tell me what the Cp stat is). I know it has something to do with
2010 Apr 13
1
stepwise regression-fitting all possible models
Dear All,
I am new to R and I would like to do the following:
I want to fit a logistic model with 3 predictors and then perform a stepwise
regression to select the best possible model using either the AIC/BIC
criterion.
I have used the stepAIC function which works fine but using this method only
likely candidates are evaluated (i.e. not all the models are fitted). We
should have 2^3=8 possible
2007 Sep 17
1
Stepwise logistic model selection using Cp and BIC criteria
Hi,
Is there any package for logistic model selection using BIC and Mallow's Cp
statistic? If not, then kindly suggest me some ways to deal with these
problems.
Thanks.
--
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