Hi all,
I have a dataframe with 2 variables and 6,000,000 records. It seems R will
crash when the number of record is larger than 3,000,000. How many records
could I store in a dataframe
Rui
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Hi all,
Given a typical right-censoring data which contains a time variable and a
censoring indicator. How do we bootstrap samples to obtain a 95% envelope
for the estimated cumulative hazard function?
Thanks in advance.
Rui
__
[EMAIL PROTECTED]
Hi all,
Given a typical right-censoring data which contains a time variable and a
censoring indicator. How do we bootstrap samples to obtain a 95% envelope
for the estimated cumulative hazard function?
Rui
__
[EMAIL PROTECTED] mailing list
Hi all,
The hypothetical data is displayed as follows.
ID time status
1 81 0
2 42 1
3 37 1
4 54 0
5 35 0
6 38 1
7 29 0
8 40 0
Question 1: How to obtain a 95% envelope for the estimated cumulative risk
Hi all,
I am trying to replicate the results from a paper. The problems are in the
setting of survival analysis.
The hypothetical data is displayed as follows.
ID time status
1 81 0
2 42 1
3 37 1
4 54 0
5 35 0
6 38 1
7
Hi all,
I have two questions stated below:
1. How to draw an observation uniformly from a given data?
For example, I have a dataset (or dataframe) with 10 observations (with a
set of variables) and I want to uniformly select an observation from this
given dataset, that is, the probability of
Thanks David first.
Probably, David misunderstood my points.
source vector = (1,2)
the length of the target vector = 3
My expected complete outputs should be:
111, 112, 121, 122, 211, 212, 221, 222.
sample(c(1,2),3,replace=TRUE) just gives me one randomly sampled
combination at a time.
