Displaying 20 results from an estimated 1000 matches similar to: "Inference and confidence interval for a restricted cubic spline function in a hurdle model"
2004 Nov 30
2
impute missing values in correlated variables: transcan?
I would like to impute missing data in a set of correlated
variables (columns of a matrix). It looks like transcan() from
Hmisc is roughly what I want. It says, "transcan automatically
transforms continuous and categorical variables to have maximum
correlation with the best linear combination of the other
variables." And, "By default, transcan imputes NAs with "best
2009 Jul 02
1
Problem with groupedData and lme
Dear R-users,
I'm currently having trouble with the implementation of a groupedData
object in the lme() function.
Executing the following function
> applyScalingSimp <- function(input.population)
> {
> ## GA is a time value
> varInOrder <- c("GA","weight","grouping","sex")
> modelVar <-
2005 May 02
2
Restricted cubic spline function ERROR?: glm(Y~rcs(x,5))
Dear all,
Is the restricted cubic spline function working properly in the glm model?
We used glm(y~rcs(x,5), family=binomial) but it seems that for some
theoretical reasons the rcs, restricted cubic spline function can not be
fitted by a glm function. Is this correct?
Regards,
Jan
((Originally, we used lrm(y~ rcs(x,5)) but we couldn't find how to derive
the AIC value of the fitted model.
2011 Jun 11
3
rcspline.plot query
Dear all,
As I am new to the R community - although eager to advance- I would
like to pose a question to the community.
I have an SPSS file which I have imported it in R (with the read.spss
command) which conists of scale (continuous) variable "adiponectin" and
the corresponding categorical value "death" (0=No, 1=Yes). In all there
are 60 observations (among which
2009 Sep 30
1
rcs fits in design package
Hi all,
I have a vector of proportions (post_op_prw) such that
>summary(amb$post_op_prw)
Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
0.0000 0.0000 0.0000 0.3985 0.9134 0.9962 1.0000
> summary(cut2(amb$post_op_prw,0.0001))
[0.0000,0.0001) [0.0001,0.9962] NA's
1904 1672 1
2013 Nov 01
0
Impose constraint on first order derivative at a point for cubic smoothing spline
Hello,
Dr. Simon Wood told me how to force a cubic spline passing through a
point. The code is as following. Anyone who knows how I can change the code
to force the first derivative to be certain value. For example, the first
derivative of the constrained cubic spline equals 2 at point (0, 0.6).
I really appreciate your help!
Thanks!
Best
Victor
2004 Sep 09
2
Rd syntax error detected in CRAN daily checks
Please forgive me if you already received this. I had an e-mail sending
glitch this morning.
http://cran.r-project.org/src/contrib/checkSummary.html reported an
error in Design.trans.Rd
* checking Rd files ... ERROR
Rd files with syntax errors:
/var/mnt/hda3/R.check/r-devel/PKGS/Design/man/Design.trans.Rd:
unterminated section 'alias'
The .Rd file is attached. It begins
2010 Nov 25
1
How to change value of y axis from log relative Hazard to relative Hazard
http://r.789695.n4.nabble.com/file/n3058505/file.csv file.csv
Hi, Rusers
I have a problem in making a rcspline.plot with a Hmisc package.
My data is in the upload attachment.
My programme as follows:
library(Hmisc)
A<-read.csv("file.csv",header=TRUE)
attach(A)
2010 May 24
1
finding the best cubic spline fitting
Hi,
I am trying to fit cubic spline to a data on mortality rate by age and year
(1900-2008). The data is noisy and hence I would like to smooth using spline
and also extrapolate beyond 2008. Data from 1900 to 1948 are very unreliable
while data from 1948 to 2008 are reliable. I would like to have a higher
weight for data between 1948 to 2008. I am not sure how to do this. When I
smooth data from
2009 Sep 24
0
basic cubic spline smoothing (resending because not sure about pending)
Hello, I come from a non statistics background, but R is available to me,
and I needed to test an implementation of smoothing spline that I have
written in c++, so I would like to match the results with R (for my unit
tests).
I am following Smoothing Splines, D.G. Pollock (available online)
where we have a list of points (xi, yi), the yi points are random such that:
y_i = f(x_i) + e_i
2011 Nov 22
0
plotting output from LME with natural cubic spline
I have used LME to fit a mixed effects model on my data. The data has
274 subjects with 1 to 6 observations per subject. Time is not linearly
associated with the outcome, so I used ns to fit a natural cubic spline
with 3 auto knots. Subject and the natural cubic time of spline are both
treated as random effects. This model has run without any problem, but
now I would like to plot trajectories for
2007 Mar 04
0
Trouble figuring messages from rcspline.plot
I have an attached data.frame with a binary composite variable (comp)
and a predictor (egfr). I am trying to plot a restricted cubic spline using:
require (Hmisc)
require (Design)
rcspline.plot(x=egfr,y=comp,model="logistic",nk=5,knots=NULL,
xlab="label1", ylab="Label2",
plim=c(0,1), plotcl=TRUE,
showknots=TRUE,
2009 Sep 24
1
basic cubic spline smoothing
Hello,
I come from a non statistics background, but R is available to me,
and I needed to test an implementation of smoothing spline that I have
written in c++, so I would like to match the results with R (for my unit
tests)
I am following
http://www.nabble.com/file/p25569553/SPLINES.PDF SPLINES.PDF
where we have a list of points (xi, yi), the yi points are random such that:
y_i = f(x_i) +
2018 Mar 23
1
restricted cubic spline in FGR function
Dear Thomas,
I want to use evaluate effect of Age using restricted cubic form in the FGR function as
Fgr.crr <- FGR(Hist(time, event) ~ rcs(Age_years), data=dat)
It provides error. " Error in parse(text = termtext, keep.source = FALSE): .... 1: response ~ rcs(Age_years
Do I need to change any of the R code?
Regards
Amalraj Raja
The University of Aberdeen is a charity
2011 Oct 11
1
restricted cubic spline within survfit.cph in the package rms
Hello,
does anyone have an example on how to use restricted cubic
splines function rcs within survfit.cph, if cph (Cox Proportional Hazard Regression) was done with restricted cubic
splines (which I made to work)?
Thank you.
>
[[alternative HTML version deleted]]
2010 Oct 13
1
Building rpm package for Hmisc on Fedora 12
Hi, I'm trying to get the 'xts' library from CRAN packaged for Fedora 12, and
one of its dependencies is 'Hmisc'. I have created a spec file for that using
R2spec, but building it fails with something in building the manual pages:
Warning: ./man/escapeRegex.Rd:22: unknown macro '\backslash'
[similar warnings snipped]
Warning: newline within quoted string at
2013 Mar 11
1
Use pcls in "mgcv" package to achieve constrained cubic spline
Hello everyone,
Dr. wood told me that I can adapting his example to force cubic spline to pass through certain point.
I still have no idea how to achieve this. Suppose we want to force the cubic spline to pass (1,1), how can
I achieve this by adapting the following code?
# Penalized example: monotonic penalized regression spline .....
# Generate data from a monotonic truth.
2010 Apr 19
0
Natural cubic splines produced by smooth.Pspline and predict function in the package "pspline"
Hello,
I am using R and the smooth.Pspline function in the pspline package to
smooth some data by using natural cubic splines. After fitting a
sufficiently smooth spline using the following call:
(ps=smooth.Pspline(x,y,norder=2,spar=0.8,method=1)
[the values of x are age in years from 1 to 100]
I tried to check that R in fact had fitted a natural cubic spline by
checking that the resulting
2009 Apr 15
0
How to use cubic spline coefficients from termstrc package?
Hi,
I'm using the cubic splines from termstrc package. I invoked the
splines_estim function with a group of 43 bonds. It computes 6 knot points
and returns values for alpha1 to alpha7. My question is how to use these
alpha1 to alpha7 in the equation of yield? For example, if I'm trying to
find the yield at, say, 12.25 years, which falls between 3rd & 4th knot
points what should the
2011 May 04
1
natural cubic splines
Dear R-helpers,
I need to fit natural cubic spline with specified number of knots. I
expected 'splines' package will be helpful, but I am confused by its
help. Is more detailed documentation available for it or could you
recommend another R function?
Best regards
Ondrej Mikula