Hi Greg
and all others who replied to my question,
many thanks for all your answers and help. Currently I store all my
objects in .GlobalEnv = Workspace. I am not yet familiar working with
different environments nor did I see that this would be necessary for my
analysis.
Could you explain why
Hi
see in line
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Matej
> Zuzčák
> Sent: Monday, August 15, 2016 11:23 AM
> To: r-help@r-project.org
> Subject: [R] Need help with use of ROCK algorithm in R for binary data
>
> Dear list members,
>
> I ha
Dear list members,
I have one appeal for you.
I need use ROCK (RockCluster) algorithm for binary data in R. My binary
data looks this:
|objects cat1 cat2 cat3 cat4 ...A TRUE FALSE FALSE FALSE B TRUE FALSE
TRUE FALSE C TRUE FALSE FALSE FALSE D FALSE TRUE TRUE TRUE E TRUE TRUE
TRUE TRUE F TRUE FA
Hmm, names appears to be both primitive and generic, since when I look
at the function definition (3.3.0) I see:
> names
function (x) .Primitive("names")
This is what I was referring to as the primitive. I had originally
intended to look at the code for names to see how it accessed the
attribut
'names' is an S3-generic function. E.g., in R-3.3.0:
> names.unnamed <- function(x) sprintf("#%0*d",
ceiling(log10(length(x))), seq_along(x))
> u <- structure(letters, class="unnamed")
> names(u)
[1] "#01" "#02" "#03" "#04" "#05" "#06" "#07"
[8] "#08" "#09" "#10" "#11" "#12" "#13" "#1
The names function is a primitive, which means that if it does not
already do what you want, it is generally not going to be easy to
coerce it to do it.
However, the names of an object are generally stored as an attribute
of that object, which can be accessed using the attr or attributes
functions
While I generally agree with Jeff's caution and advice about the use
of get(), I have also often struggled with designing suitable
interfaces for loading and saving files. So I just wanted to add that
the interactive file.choose() function can be very helpful in this
context if you aren't already a
Use of "get" usually means you are doing something wrong in setting up your
approach to a problem. That is, if you design your interface to your functions
to be overly general, it will become full of surprises later.
If in fact the data you are interested in referring to is a column in a data
Extensive references are given in the package. I suggest that you consult them.
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Mon, Aug 15, 2016
Dear R colleagues,
The effect of habitat type on bee species number was tested using a glmer model
with habitat as fixed effect (5 habitat types) and site and time as random
terms.
The idea was now to conduct post hoc tests with glht (package "multcomp") for
pairwise comparisons. The matrix was
See
?.Last
for information on how to cause something to happen when R exits.
(whether R Studio overrides this I don't know)
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
On 8/13/16, 1:02 PM, "R-help on behalf of Jan Kac
Dear Dr. Martin,
I'm glad that you replied to my queries.
As advised, I have prepared the following:
library(copula)
# 5 series of data, A, B, C, D and E
A <- c(0.849420849, 0.900652985, 0.97144217, 0.817888428, 0.877901578,
1.070040669, 0.889742431, 0.87588968, 0.853541938, 0.84866468
Hi All,
I found the function get() which returns an object.
My whole function looks like this:
-- cut --
#---
# Module: t_load_dataset.R
# Author: Georg Maubach
# Date : 2016-08-15
# Update
Thanks Ron.
Your explanation is clear, at least to me. I did not use the approach of start
with plain ggplot call following some geom calls before.
However I must say I finally turned back to standard graphics which seems to me
easier in this case and I can easily add other values without many
Dear Petr,
In your code:
p<-ggplot(ram.ag, aes(Raman, XRD, colour=mereni))
p+geom_point(size=5)+geom_segment(data=dat, aes(x=Ramanpuv,
y=XRDpuv,xend=Ramannov,
yend=XRDnov), arrow = arrow(length = unit(1,"cm")))
you have set mereni to control the colour aesthetic in the call to ggplot.
This will
Hi All,
I would like to access an object using a sting.
# Create example dataset
var1 <- c(1, 2, 3)
var2 <- c(4, 5, 6)
data1 <- data.frame(var1, var2)
var3 <- c(7, 8, 9)
var4 <- c(10, 11, 12)
data2 <- data.frame(var3, var4)
save(file = "c:/temp/test.RData", list = c("data1", "data2"))
# Define
Dear all
I want to put arrows from other data to ggplot and get strange behaviour.
The code:
p<-ggplot(ram.ag, aes(Raman, XRD, colour=mereni))
p+geom_point(size=5)+geom_segment(data=dat, aes(x=Ramanpuv,
y=XRDpuv,xend=Ramannov, yend=XRDnov),
arrow = arrow(length = unit(1,"cm")))
results to foll
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