Hello,
Suppose I have one vector of values or even matrix of those vectors and I
want to calculate q_k(V/k), where V is the vector, k is a quantile and q_k
is empirical k-quantile function. Finally I want to calculate Q_k=min(1,
q_k) for k=(0,1).
Can you please help me with this code?
quantile fu
Hi Luigi
I think your data is duplicated
> xtabs(~cluster+type+target,my.data)
, , target = A
type
cluster blank negative positive
run_1 222
run_2 000
, , target = B
type
cluster blank negative positive
run_1 000
Hi Luigi,
Are you looking for something like this?
library(plotrix)
ylim=c(0,1.7)
png("lmplot.png",width=600,height=300)
par(mfrow=c(1,2))
brkdn.plot(value~type,data=my.data[my.data$target=="A",],
main="Run 1",ylab="Value",xlab="",xaxlab="target",ylim=ylim,
mct="mean",md="sd",pch=c("B","N","P"))
I am adding my message in the mail body as I found it missing from the mail
that finally got posted on the list.
I am trying to simulate a combination of two different random fields (yy1 and
yy2 different mean and correlation length) with an irregular boundary. I have
attached the picture of m
> On Feb 15, 2017, at 1:43 PM, Jim Lemon wrote:
>
> Hi Malgorzata,
> The function "rxnrate" seems to want three values in a list with the
> names "k1", "k2" and "k3". If you are passing something with different
> names, it is probably going to complain, so the names "A", "B" and "C"
> may be you
dear all,
i have a set of data that is separated in the variables: cluster (two
runs), type (blank, negative and positive) and target (A and B), each
duplicated. I am plotting it with lattice and the result is a 2x2 matrix
plot in which the top two cells (or panels) are relative to run 2, the
lower
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I just picked this up over on "Vulture Central"
http://www.theregister.co.uk/2017/02/16/r_sql_server_great_but_beware/
The author seems both pleased and not pleased. Mainly digging at R's use
(or abuse) of memory being a cause of many failures. And the fact that is
is "slow" (states Python runs 17
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