I was hoping to use mi to generate a synthetic version of a database. The
strategy (see code below) was simple: use the diamonds dataset from
ggplot2, subset it focus on 3K single-color, then create a blank record
for every real record, and throw the new dataset at mi to see if it would
I have a dataset that does not include native scores, but only serial
quantile rankings for a set of units.
Clearly these observations are dependent (in that you can't alter one
observation without also altering others).
Are there methods for dealing with quantile dependent variables. My atempt
The integration of plot methods for various outputs from rms packages is
a great appreciated aspect of the rms package.
I particularly like to use:
plot(summary(model))
for my own purposes, but... for publication/presentation I need to
modify details like variable names, or the number of
I want to employ a parsimonious model to draw nomograms, as the full
model is too complex to draw nomograms readily (several interactions of
continuous variables). However, one interesting variable stays or
leaves based on whether I choose p value or AIC options to
fastbw(). My question
I have a situation where the parameter estimates from lrm identify a
binary predictor variable (X) as clearly non-significant (p0.3), but
the ANOVA of that same model gives X a chi^2-df rank of 200, and
adjudicates X and one interaction of X and a continuous measure as
highly significant.
The rms package includes the nomogram function, which generates a list
object that can be passed to plot for graphical production of nomograms.
I would like to remove the linear predictor line in the graph, which
means (I suspect) removing it from the nomogram output object. I've
looked at
the technical or the theoretical issues.
Many thanks in advance,
Rob James
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Dear R-help and Prof. Harrell:
My question concerns the baseline state for continuous variable in lrm()
within the RMS package.
I have a model which can be reduced to:
lrm(FT ~ rcs(V1, c(0, 1,5))
The model makes perfect sense if the baseline state is where V1=5 but
the model makes no sense
I should rephrase my question.
When using the notation rcs(V1, N) within the lrm function in the rms
package, the associated model reports out N-1 values for the associated
variable. Fine.
The rcs-constructed temporary variables are denoted V1, V1', V1'' when
one looks at the model output,
I am making considerable use of Harrell's rms package, but I do not use
Latex for writing. (I have enough trouble convincing my co-authors to
use Openoffice!). rms makes copious use of Latex output for various
mixed graphical and text outputs, amongst other things.
Does someone have a
I am trying to reorder a factor variable that has embedded escape
characters. The data begins as a csv file with a factor that includes
embedded new line characters. By the time read.table has rendered it
into a data frame, the variable now has an extra backslash.
e.g.
This\nLabel in the
Do I recall correctly that there is an R package that can take an image,
and help one estimate the x/y coordinates? I can't find the package,
thought it was an R-tool, but would appreciate any leads.
Thanks,
Rob
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I am looking for the syntax to capture XML tags marked with
/DescriptorName MajorTopicYN=Y/ , but the combination of the internal
space (between Name and Major and the embedded quote marks are
defeating me. I can get all the DescriptorName tags, but these include
both MajroTopicYN = Y and
1) How does one capture the plots from the plsmo procedure? Simply
inserting a routing call to a graphical device (such as jpeg, png, etc)
and then running the plsmo procedure (and then dev.off()) does not route
the output to the file system. 1b) Related to above, has anyone thought
of
I am encountering an error I do not know how to debug. The error arises
when I try to add an interaction term involving two continuous
variables (defined using rcs functions) to an existing (and working) model.
The new model reads:
model5 - lrm( B_fainting ~ gender+ rcs(exactage, 7) +
I am generating images via lattice from Frank Harrell's RMS package.
These images are characterized by coloured lines and grey-scale
confidence intervals. I need to port them to Openoffice/etc, and have
tried both png and jpeg (at high quality), but in neither format can I
subsequently see
Subsequent investigations (via GIMP) show that the problem is in OO, and
now with the images themselves.
Off to the OO forums.
Original Message
Subject:Fidelity of lattice graphics captured to jpeg or png
Date: Thu, 29 Apr 2010 08:05:04 -0700
From: Rob James r
What causes the error report:
logical(0)
to arise in the rms function lrm?
Here's my data:
But both the dependent and the independent variable seem fine...
str(AABB)
'data.frame':1176425 obs. of 9 variables:
$ sex : int 1 1 0 1 1 0 0 0 0 0 ...
$ faint : int 0 0 0 0 0 0 0 0 0 0
Just to close out my earlier posting, I have identified and resolved the
following odfWeave/XML error:
xmlParseStartTag: invalid element name
I used odfWeave to call various logistic regression models which
included the above mentioned variable. odfWeave failed to generate the
parser is seeing,
the question is how they got into the document.
So we need more to start diagnosing the problem.
D.
Rob James wrote:
I've been happily building a file with odfWeave, and just as the hour
draws nigh for it to be sent off, odfWeave or XML throws the following
catastrophic error
I've been happily building a file with odfWeave, and just as the hour
draws nigh for it to be sent off, odfWeave or XML throws the following
catastrophic error:
...this is the tail of entirely uneventful processing of input file.
31 : term xml(label=LR_Fall_Model_Results)
32 : term
BODY { font-family:Arial, Helvetica, sans-serif;font-size:12px; }I
can't seem to perform an install from CRAN (stat.sfu.ca, specifically)
for Ubuntu 64 8.1 (Intrepid) and 2.8.2 of R. Here is the log:
Looks like some dependencies cannot be satisfied.
Suggestions? Thanks in advance.
sudo
Problem resolved. This error occurred because of a mixture of hardy
and intrepid sources in my sources.list .
Thanks to Phil Spector, Dirk Eddelbuettel and others for their
input.
[[alternative HTML version deleted]]
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BODY { font-family:Arial, Helvetica, sans-serif;font-size:12px; }I
am looking to draw what I hoped was a simple plot of proportion WITHIN
a strata, save % males by site. I seem to be able to get proportion of
males, by
site, where the proportion is across the whole dataset, but not the
odfWeave is throwing up a cryptic error, after successfully processing a
file with a large number of figures (~30) and many \Sexpr{} calls. The
error is (at least to me) cryptic. I am not sure where to look to
correct this problem.
Here's the error:
Post-processing the contents
Error in
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