Displaying 5 results from an estimated 5 matches for "nomos".
Did you mean:
nodos
2005 Jul 11
1
validation, calibration and Design
Hi R experts,
I am trying to do a prognostic model validation study, using cancer
survival data. There are 2 data sets - 1500 cases used to develop a
nomogram, and another of 800 cases used as an independent validation
cohort. I have validated the nomogram in the original data (easy with
the Design tools), and then want to show that it also has good results
with the independent data using 60
2010 Aug 25
1
modify a nomogram
Hi,
I would like to emphasize ("zoom") the zone of a nomogram where the
probability are > 0.01
(nomogram built with nomogram, Design).
As a consequence, I don't need to draw the part of the "Total points"
axis with score < 60 equivalent in my case to a linear predictor < 4.5
- As far as I know, this is not possible with the arguments of the function.
- Changing
2009 Aug 05
2
reading and frequency analysis of Spanish text
For an historical paper I'm working on, I have some Spanish plaintext,
presently in the form of a Word .doc
file,
http://euclid.psych.yorku.ca/SCS/Gallery/images/Private/Langren/Verdadera-spanish-stripped.doc
and also some ciphered text from the same original source. The ultimate
goal is to use some
frequency analysis of letters and word lengths in the plaintext to help
decode the
2003 Sep 12
2
partial mantel
Dear all,
Has anyone written R code for partial Mantel Tests- as described for
instance in Legtendre & Legendre (1998) ?
In other words, in a community ecology analysis, I would like to calculate
the correlation between two dissimilarity matrices, controlling for a third
distance matrix representing geographical distances between sites.
Thanks!
Christophe Bouget
Biodiversité et gestion des
2011 May 05
7
Draw a nomogram after glm
Hi all R users
I did a logistic regression with my binary variable Y (0/1) and 2
explanatory variables.
Now I try to draw my nomogram with predictive value. I visited the help of R
but I have problem to understand well the example. When I use glm fonction,
I have a problem, thus I use lrm. My code is:
modele<-lrm(Y~L+P,data=donnee)
fun<- function(x) plogis(x-modele$coef[1]+modele$coef[2])