Hi mviljamaa,
Line color, line style, line width... An example or an image of the output
would help.
Jim
On Mon, Nov 30, 2015 at 5:22 AM, mviljamaa wrote:
> I'm using ts.plot() to plot a matrix of time series (each column is a ts).
>
> What I noticed is that ts.plot()
I'm using ts.plot() to plot a matrix of time series (each column is a
ts).
What I noticed is that ts.plot() creates a lot of overlapping lines
which makes it difficult to distinguish different series.
What options exist for making the series more easily read?
Dear List,
I am using R2jags and post process some mcmc objects to produce a new
object, which is currently a matrix, which replicates the shape of the
objects from which it is derived.
I want to produce a Gelman-Rubin graph from its (implied) three chains, but
I need to coerce the matrix into
Dear group,
kindly, I have a data frame, as follows:
Measure_id i j value rank
1 1 2 3 2.0 1.000
2 1 5 1 2.0 1.000
3 1 2 1 1.5 0.750
4 1 5 2 1.5 0.750
5 1 7 3 1.5 1.000
6 1 2 4 1.0 0.500
7
A logical expression applied to a vector (such as a dataframe column) gives you
a logical vector that you can use for selection. You can combine several of
these with the & (AND) and | (OR) operator. In your case, you apparently want a
range of possible values. Use the %in% operator.
Consider
Providing a reproducible example and the results of `sessionInfo` will help
get your question answered.
My only guess is that one or more of your predictors are factors and that
the in-sample data (used to build the model during resampling) have
different levels than the holdout samples.
Max
On
Hi Margaret,
Doesn't the "mcmc" function in the "coda" package create an mcmc object
from a matrix?
Jim
On Mon, Nov 30, 2015 at 9:44 AM, Margaret Donald <
merricks.merri...@gmail.com> wrote:
> Dear List,
>
> I am using R2jags and post process some mcmc objects to produce a new
> object, which
Ragia Ibrahim [Mon, Nov 30, 2015 at 04:55:08AM CET]:
Dear group,
kindly, I have a data frame, as follows:
Measure_id i j value rank
I want to select distinct rows based on two coulmn ( Measure_id and i )
I didn't get your example code to run but the following
Frank Wang
you can use function substr() to split the number.
x<-c(substr("02d0",1,4),substr("02d0",5,8))
> x
[1] "02d0" ""
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