Hello,
I'm hoping for advice regarding how to set up a recurrent event
survival analysis data file. My data consists of people released from
custody, with survival time being measured as days before re
imprisonment or end of the study. In the example below, id 5155 is
released 5 times and jai
Anthony is right about the cause. The lack of partial=TRUE option in
rake is deliberate, and there's really only such an option in
postStratify() for debugging or simulation purposes. What
partial=TRUE allows is the situation where an observation in your
sample has a combination of values that doe
Here is an example using the subplot function.
library(TeachingDemos)
map("state", region= "ohio", xlim=c(-85, -80), ylim=c(38, 42))
tmp <- subplot(map("state",add=TRUE), 'bottomright', type='fig',
size=c(0.2,0.2), inset=0.1)
op <- par(fig=tmp$fig)
map("state", region="ohio", fill=T, add=T)
par(op
Make 'S' either an environment or a list. E.g.,
SymList <- lapply(c("TIBX","X","IBM"), getSymbols,
auto.assign=FALSE) # lapply returns a list
or
SymEnv <- new.env() # or SymList <- list()
for(sym in c("TIBX", "X", "IBM")) SymEnv[[sym]] <- getSymbols(sym,
auto.assign=FALSE)
Use SymList[["T
Dear R-core :
I am a user of R language from China. I have some problems when I use
function ¡°getSymbols¡± which belongs to package ¡°quantmod¡±,and I hope I
can get some help from you.
I can get some information of one stock just by entering
¡°s1<-getSymbols("600016.ss",from = "2011-05-01",to =
Hi,
Please use ?dput() to show the data.
Assuming that the data is:
dat <- structure(list(X = c("ks", "ks", "tk", "tk", "tk", "ks", "eq",
"eq", "ks"), Y = c("dr", "zw", "dr", "", "zw", "zw", "", "zw",
"zw"), Z = c("tq", "tq", "tq", "", "tz", "", "tz", "tz", "tz"
)), .Names = c("X", "Y", "Z"), cl
Hi Alexsandro,
Suppose if you have strings
nw.str1 <- "[D][A|D]A:F[T|A:D]N[C|T]"
nw.str2 <- "[D][A|D]A[T|A:D][C|T]NA{DG]P"
you could use:
library(qdap)
as.vector(bracketXtract(nw.str1,"square",T))
#[1] "[D]" "[A|D]" "[T|A:D]" "[C|T]"
as.vector(bracketXtract(nw.str2,"square",T))
#[1] "
Dear Alexsandro,
On 9 June 2014 02:27, Alexsandro Cândido de Oliveira Silva
wrote:
> So, how could I deal with the data and get the conditional probability
> distribution?
As of the current release (3.5), all functions in bnlearn require
complete data so that error message is expected. However,
It's usually easier to use the inversion method on a truncated uniform:
fun3 <- function(n, low, high, mean, sd)
qnorm(runif(n,
pnorm(low, mean, sd),
pnorm(high, mean, sd)), mean, sd)
res3 <- fun3(100,-3.7, 3.7, 1,2)
hist(res3)
On 08 Jun 2014, at 08:34 , arun wrot
The issue here is not trellis.device.
You are using lattice plots (without mentioning lattice), which are
based on package 'grid' and so using the grid sub-system of a device.
That sub-system does not use the 'pointsize' of the device as its
initial font size. So you need to use
grid::gpar(
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