how possible to create a color palette with white centered at
zero?
Nick Fankhauser
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I've got the strange problem with clock24.plot that only the first data
point (phase = 23.38, size = 0.44) from the phases/sizes numeric vectors
is plotted.
Does anyone have an idea why this could be?
library(plotrix)
phases <- c(23.38, 22.29, 22.71)
sizes <- c(0.44, 0.30, 0.30)
clock24.plot(sizes
Hi!
thanks a lot for this suggestion! I tried to implement it like this, and
it worked nicely.
I used the method suggested by Gabor Grothendieck for simplification:
frml <- gene_expression ~ sin(tpoints * afreq + phase) * amp + shift
gridfit <- nls2(frml, algorithm = "grid-search", data=gendat, s
Is there a ROC curve plotting function for censored survival data that
allows condidence intervals? I know there is the survivalROC package for
plotting ROC curves of survival data, but it does not include CI. And
there is roc.plot in the variance package, but it does not support
censored data.
someone could point to an approach on how
to do this.
Nick Fankhauser
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide comm
I'm using functions to return a matrix of all permutations of a
specified size from a larger list for predictor selection.
For each predictor size I use a seperate function like this:
bag2 <- function(n) {
rl <- c()
for (i1 in seq(n)) {
for (i2 in seq(n)) {
if (length(u
I have a set of parameter estimates for a multivariable Cox model predicting
survival duration and a data-frame of new measurements for the variables in
the model, as well as the actual survival duration.
Is there a function to estimate the error the model has on predicting
survival on this new se
I have a set of parameter estimates for a multivariable Cox model predicting
survival duration and a data-frame of new measurements for the variables in
the model, as well as the actual survival duration.
Is there a function to estimate the error the model has on predicting
survival on this new se
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