Displaying 7 results from an estimated 7 matches for "assign2".
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2010 Nov 11
2
Adding meta-data when creating objects. e.g: changing "<-" so to (for example) add "creation time" - how-to and pros/cons?
My objective is to start having meta-data on objects that I create.
For example, consider the following function:
assign2 <- function(x, ...)
{
assign("x", ...)
attr(x, "creation time") <- Sys.time()
x <<- x
}
assign2("x", 1:4)
"assign2" assigns to x the vector 1:4, and it then also adds the creation
time of the object.
(Hat tip goes to Peter Alspach for pointin...
2020 Feb 14
2
Given one restrict pointer based on another, should they never alias?
...`x`; hence, the compiler will assume that accesses *x
and *y might alias:
void assign1(int *pA, long N) {
int *restrict x = pA;
{
int *y = x + N;
*x = *y;
}
}
However, what if y itself is declared "restrict": can the compiler assume
that *x and *y will never alias?
void assign2(int *pA, long N) {
int *restrict x = pA;
{
int *restrict y = x + N;
*x = *y;
}
}
Both Jeroen's and Hal's implementation (the intrinsic-based one) will say
"NoAlias" for the accesses in assign2() but shouldn't x and y be in the
same restrictness "bucket"...
2020 Feb 20
2
Given one restrict pointer based on another, should they never alias?
...gt;
>
> For 'assign1':
>
> - x is a restrict pointer and is assumed to point to its own set of objects
>
> - y is a normal pointer, based on x
>
> - all access to the set of objects pointed by x are done through a pointer
> based on x
>
>
>
> for 'assign2':
>
> - x is a restrict pointer and is assumed to point to its own set of objects
>
> - y is also a restrict pointer, based on x, but it is assumed to point to
> its own set of objects for the scope of y
>
> - because of that, *x and *y must never overlap, as all accesses t...
2011 Apr 08
1
Variance of random effects: survreg()
I have the following questions about the variance of the random effects in the survreg() function in the survival package:
1) How can I extract the variance of the random effects after fitting a model?
For example:
set.seed(1007)
x <- runif(100)
m <- rnorm(10, mean = 1, sd =2)
mu <- rep(m, rep(10,10))
test1 <- data.frame(Time = qsurvreg(x, mean = mu, scale= 0.5, distribution =
2007 Apr 17
3
Extracting approximate Wald test (Chisq) from coxph(..frailty)
Dear List,
How do I extract the approximate Wald test for the
frailty (in the following example 17.89 value)?
What about the P-values, other Chisq, DF, se(coef) and
se2? How can they be extracted?
######################################################>
kfitm1
Call:
coxph(formula = Surv(time, status) ~ age + sex +
disease + frailty(id,
dist = "gauss"), data = kidney)
2010 Dec 02
0
survival - summary and score test for ridge coxph()
...k" "iter" "linear.predictors" "residuals"
[8] "means" "method" "df" "df2" "penalty" "pterms" "assign2"
[15] "history" "coxlist2" "printfun" "n" "terms" "assign" "wald.test"
[22] "y" "formula" &qu...
2011 Jul 20
0
Cleveland Dot plots: tick labels and error bars
...nel has its own y and x axis tick labels. I would like
the figure panels to fit to gether like this simple figure.
2nd issue:
I'd like to create standard error bars for each point. The most direct
option I've observed is from:
http://www.unc.edu/courses/2010fall/ecol/563/001/docs/solutions/assign2.htm
It seems to use the following panel function to create 95% conf. intervals:
panel=function(x,y) {
panel.grid(v=0, h=-6, lty=3)
panel.segments(new.data$lower95, as.numeric(y), new.data$upper95,
as.numeric(y), lty=1, col=1)
panel.segments(new.data$lower50, as.numeric(y), new.data$upper50,...