I had a brief look at PSTricks, and really quite like it.
There is however one catch, like Sweave etc. it is assumed to be processed
along with the LaTeX. I find these things rather annoying, as it is just a
major and unnecessary error source. I think it is much better to produce
single objects (e.
Hi Everyone
I am at the moment preparing my thesis and am looking at producing a few
Organigrams / Flow charts (unrelated to the calculations in R) as well as a
range of charts (barcharts, histograms, ...) based on calculations in R.
For the Organigrams I am looking at an Opensource package call
Hi Everyone
Thanks for answering both in public and on private email - I got numerous
responses, and just for the people who have similar questions:
Econometrics introduction
"I found this approach interesting to your purposes:
http://eeecon.uibk.ac.at/~zeileis/papers/DAGStat-2007.pdf "
http://w
Hi Everyone
In the Contributed Documentation part of the R Project website there are
dozens of various documents explaining this and that on R. Furthermore there
is also the document "Introduction to R". In my thesis I have been using R
here and there, so I would classify myself as an intermediate
Hi, I am wondering whether some of you have a pointer to an alternative.
I am currently writing my thesis in Latex (several documents), well grown
over time, I am sure many of you are familiar with the situation. Likewise I
am doing the quantitative analysis with R, and again a lot of lines of more
As a short disclaimer - I have read the previous posts on Fitting the Gamma
Distribution, but have two questions going beyond that:
1. Does anybody have a reference for the theory of fitting a gamma
distribution (i.e. whether to apply Kolmogorov-Smirnov, or similar)
2. Has anybody toyed around with
I have tried this method, but the result is not working, at least not as I
expect:
I used the CreditMetrics package transition matrix
rc <- c("AAA", "AA", "A", "BBB", "BB", "B", "CCC", "D")
M <- matrix(c(90.81, 8.33, 0.68, 0.06, 0.08, 0.02, 0.01, 0.01,
0.70, 90.65, 7.79, 0.64, 0.06, 0.13, 0.02, 0.0
Dear David
To confirm, your method worked. I am not allowed to divulge the original
data (financial data), but here comes another set.
Test_DF<-data.frame(Figure=c("A","B","A","B"), Code=c("C", "C", "D", "D"),
No=c(1,2,3.5,4))
?data.frame
View(Test_DF)
str(Test_DF)
Test_DF_m<-melt(Test_DF, measur
Dear Jim
I think the target is to get from a Named chr to a just chr
>> str(mat)
> Named chr [1:32268] "yQAAA" "jQAAQ" "UQAAg" "FQAAw" "1QABA" ...
> - attr(*, "names")= chr [1:32268] "CA" "CC"
> "CG" "CT" ...
I have presumably the same problem
> str(DC1a)
num
Dear Gabor, the partial works wonders, that is the bit which I was missing.
Thanks Christian
-
Christian Langkamp
christian.langkamp-at-gmxpro.de
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Dear Joshua
thank you for the pointer to the width element. Actually still with
na.pad=TRUE it doesn't seem to work but attaching an extra row of NAs did.
A1a<-zoo(c( NA, NA, 1,2,3,4,5,6, NA, NA))
A1b<-rollapply(A1a,4,mean, na.rm=TRUE, na.pad=FALSE, align="right")
A1c<-rollapply(A1a,4,mean, na.r
I am not sure whether this is 100 % related, but I also get some unexpected
behaviour with NA and rollapply:
In the following example I would expect in Line 3 to see a 1 instead of an
NA (mean out of [1, NA, NA]
What do you think ?
> mean(c(1,NA, NA), na.rm=TRUE)
[1] 1
> A1a<-zoo(c(NA, NA, 1,2,
Dear Phil
thanks a lot, it worked just perfect !
Christian
-
Christian Langkamp
christian.langkamp-at-gmxpro.de
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_
Hi
I would like to extend this item to the following:
I have the following table
X1 X2 X3 value
1 BVEq AGR 11412 954.75
2 CA_Tot AGR 11412 970.59
...
> str(DC2_m)
'data.frame': 104160 obs. of 4 variables:
$ X1 : Factor w/ 62 levels "BVEq","CA_Tot",..: 1 2 3 4 5 6 45 46 47 48
...
.
Indeed I am looking for a View() type thing. Unfortunately I am no developer
so I can just work with what is already there.
The way forward is then to try everything with a very small cube which is
still overseeable and then just do the same with the big one. But View() is
really not good for larg
Hello
I am at the moment trying to get to grips with a data cube in R, and I am
increasingly wondering whether I am actually making things unnecessarily
difficult for myself.
The idea is that I have a data cube with three dimensions (so a 3D matrix):
companies, figures, and years.
So along the z a
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