Displaying 11 results from an estimated 11 matches for "trafo".
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grafo
2007 Apr 10
1
When to use quasipoisson instead of poisson family
It seems that MASS suggest to judge on the basis of
sum(residuals(mode,type="pearson"))/df.residual(mode). My question: Is
there any rule of thumb of the cutpoiont value?
The paper "On the Use of Corrections for Overdispersion" suggests
overdispersion exists if the deviance is at least twice the number of
degrees of freedom.
Are there any further hints? Thanks.
--
Ronggui
2009 Apr 20
0
New versions for the distr-family of packages
...arguments
to better control the integration range and exactness
%---------------------------------------------
distrMod
%---------------------------------------------
MODELS
+ added mad.const to guarantee for mad-consistency in location scale model
for general central distribution
TRAFO
+ fixed some inconsistencies with slot trafo:
now when trafo is a function, we try to keep it as a function under
moves of the parametric model
+ trafo.fct() to access the "function" aspect of trafo
+ trafoEst() transforming an estimator of class "estimate"...
2009 Apr 20
0
New versions for the distr-family of packages
...arguments
to better control the integration range and exactness
%---------------------------------------------
distrMod
%---------------------------------------------
MODELS
+ added mad.const to guarantee for mad-consistency in location scale model
for general central distribution
TRAFO
+ fixed some inconsistencies with slot trafo:
now when trafo is a function, we try to keep it as a function under
moves of the parametric model
+ trafo.fct() to access the "function" aspect of trafo
+ trafoEst() transforming an estimator of class "estimate"...
2010 Sep 16
1
Nemenyi test as a post-hoc test to Kruskal Wallis
Dear all,
I've discovered the possibility to do the Nemenyi-Damico-Wolfe-Dunn test in the library(coin); oneway_test()
With the given example I am unfortunately not able to reproduce the test. What does trafo and contrMat mean?
I have a dataframe with 176 elements in 7 classes. It may be a problem, that my model isn't balanced? In Class1 I happen to have 4 elements, while there are 90 in class2.
Thank you for your help,
Anne
___________________________________________________________
GRATIS: Spider-...
2012 Jan 09
2
Unexpected results using the oneway_test in the coin package
...quot;,ylab="breeding strategy",col="gold",lty=1)
### Kruskal-Wallis test
kruskal_test(breeding ~ habitat, data = mydata, distribution = approximate(B = 9999))
### Nemenyi-Damico-Wolfe-Dunn test (joint ranking)
NDWD <- oneway_test(breeding ~ habitat, data = mydata,
ytrafo = function(data) trafo(data, numeric_trafo = rank),
xtrafo = function(data) trafo(data, factor_trafo = function(x)
model.matrix(~x - 1) %*% t(contrMat(table(x), "Tukey"))),
teststat = "max", distribution = approximate(B = 900000))
### global p-value...
2005 Jun 01
3
x[x$a=="q",,drop=TRUE]
...Score 250 EC
Secure 36 SC
0 0 0
8
Sequestrone Shavit f Sporekill
Stroby 50 WG
0 0 0
0
Switch Tracer Trafos K
Vandozeb
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0
Vitomex
0
cheers,
Mikkel
2012 Aug 23
0
party package: ctree - survival data - extracting statistics/predictors
...ival data.
I am using function "ctree" from the "party" package.
I came up with this command:
test <- ctree(Surv(time, event)~.,
data =data.test,
controls=ctree_control(teststat="max", testtype="Bonferroni", mincriterion=0.95,savesplitstats = TRUE),
ytrafo = function(data)trafo(data, numeric_trafo = rank),
xtrafo=function(data)trafo(data, surv_trafo=logrank_trafo(data, ties.method = "logrank"))
)
which works well but as I am not a statistician it is quite confusing and i might not run it properly.
My technical problem is that I would lik...
2010 Apr 22
2
Jonckheere-Terpstra test using coin package?
Is it possible to implement the Jonckheere-Terpstra test for ordered
alternatives using the coin package: Conditional Inference Procedures
in a Permutation Test Framework?
I found jonckheere.test{clinfun}, but it uses a normal approximation
when ties are present in the data. To make this concrete, I've
include
a small dataset. Thanks. --Dale
Hollander and Wolfe, 1999 Table 6.6, pg 205
2012 Mar 26
0
Different result with "kruskal.test" and post-hoc analysis with Nemenyi-Damico-Wolfe-Dunn test implemented in the help page for oneway_test in the coin package that uses multcomp
...h classes are different.
i find this code in a R help:
http://stackoverflow.com/questions/2478272/kruskal-wallis-test-with-details-on-pairwise-comparisons
class <- m.class.length.lf
var <- m.class.l
dft <- data.frame(class,var)
NDWD <- oneway_test(var ~ class, data = dft,
ytrafo = function(data) trafo(data, numeric_trafo = rank),
xtrafo = function(data) trafo(data, factor_trafo = function(x)
model.matrix(~x - 1) %*% t(contrMat(table(x), "Tukey"))),
teststat = "max", distribution = approximate(B=1000))
### global p-value...
2013 Jan 11
0
Error with looping through a list of strings as variables
Dear R users:
I have been trying to figure out how to include string variables in a for
loop to run multiple random forests with little success. The current code
returns the following error:
Error in trafo(data = data, numeric_trafo = numeric_trafo, factor_trafo =
factor_trafo, :
data class character is not supported
In addition: Warning message:
In storage.mode(RET@predict_trafo) <- "double" : NAs introduced by coercion
The code runs fine with the data before I add the > for (h i...
2015 Aug 13
2
[LLVMdev] Improving loop vectorizer support for loops with a volatile iteration variable
Hi Gerolf,
I think we have several (perhaps separable) issues here:
1. Do we have a canonical form for loops, preserved through the optimizer, that allows naturally-constructed loop nests to remain separable?
2. Do we forbid non-lowering transformations that turn vectorizable loops into non-vectorizable loops?
3. How do we detect cases where transformations cause a negative answer to either