afo = rank,
xtrafo = function(data) trafo(data, factor_trafo = ff),
alternative="greater",
distribution=approximate(B=50))
On Wed, Apr 21, 2010 at 8:23 PM, Dale Steele wrote:
> Is it possible to implement the Jonckheere-Terpstra test for ordered
> alte
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'm trying to implement the two-sample Wald-Wolfowitz runs test. Daniel
(1990) suggests a method to deal with ties across samples. His suggestion
is to prepare ordered arrangements, one resulting in the fewest number of
runs, and one resulting in the largest number of runs. Then take the mean
of
I'm trying to understand the behavior of seq_along in the following example:
x <- 1:5; sum(x)
y <- 6:10; sum(y)
data <- c(x,y)
S <- sum( data[seq_along(x)] )
S
T <- sum( data[seq_along(y)] )
T
Why is T != sum(y) ?
__
R-help@r-project.org mailing list
, 5)
Error in .C("R_qansari", as.integer(length(p)), q = as.double(p),
as.integer(m), :
C symbol name "R_qansari" not in load table
--Dale
On Wed, Feb 24, 2010 at 8:47 PM, Sharpie wrote:
>
>
> Dale Steele wrote:
>>
>> I would like to be able to use two
I would like to be able to use two functions; qansari and pansari
which are found in the
function ansari.test. How can I evaluate these functions
independently? Thanks. --Dale
For example, when I load the function ...
qansari <- function(p, m, n) {
.C(R_qansari, as.integer(leng
tistical Data Center
> Intermountain Healthcare
> greg.s...@imail.org
> 801.408.8111
>
>
>> -Original Message-
>> From: Dale Steele [mailto:dale.w.ste...@gmail.com]
>> Sent: Thursday, February 11, 2010 5:28 PM
>> To: Greg Snow
>> Cc: R-help@r-project.org
&
> greg.s...@imail.org
> 801.408.8111
>
>
>> -Original Message-
>> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
>> project.org] On Behalf Of Greg Snow
>> Sent: Thursday, February 11, 2010 12:19 PM
>> To: Dale Steele; R-help@r-project
I've been attempting to understand the one-sample run test for
randomness. I've found run.test{tseries} and run.test{lawstat}. Both
use a large sample approximation for distribution of the total number
of runs in a sample of n1 observations of one type and n2 observations
of another type.
I've b
Given the following data, and hypothesized median M.0 I've found a
method to implement the Wilcoxon signed-rank test.
Data: (with one zero difference and tied ranks)
x <- c(136, 103, 91, 122, 96, 145, 140, 138, 126, 120, 99, 125,
91,142, 119, 137)
M.0 <- 119
> library(exactRankTests)
Package ‘
I would like to randomly shuffle a distance object, such as the one
created by ade4{dist.binary} below. My first attempt, using
sample(jc.dist) creates a shuffled vector, losing the lower triangular
structure of the distance object. How can I Ishuffle the lower
triangular part of a distance matrix
I'm doing a permutation test and need to efficiently generate all
distinct subsets of size r from a set of size n. P 138 of MASS (4th
ed) notes that "The code to generate this efficiently is in the
scripts". I was unable to find this code on quick inspection of the
\library\MASS\scripts file for
The code below create an nxn upper triangular matrix of one's. I'm
stuck on finding a more efficient vectorized way - Thanks. --Dale
n <- 9
data <- matrix(data=NA, nrow=n, ncol=n)
data
for (i in 1:n) {
data[,i] <- c(rep(1,i), rep(0,n-i))
}
data
__
I'm stuck on how best to of find the distance between ordered integers
(presented below as a birthday problem). Given the vector x, how do I
most efficiently generate the vector x[i+1] - x[i]? Thanks. --Dale
For example...
set.seed(555)
x <- sample(1:365, 10, replace=TRUE)
x <- sort(x)
x
Open script in Tinn-R, select script to copy. Then use menu Edit:Copy
formatted (to export) --> RTF
Paste into MS word.
--Dale
On Sat, Sep 13, 2008 at 1:30 PM, Daren Tan <[EMAIL PROTECTED]> wrote:
>
> I am generating a report containing several R scripts in the appendix. Is
> there any way to
$ sudo apt-get install
Installs installs ESS version 5.3.0. Is there a repository for more
recent version?
Thanks. --Dale
On Sun, May 25, 2008 at 11:24 AM, Roland Rau <[EMAIL PROTECTED]> wrote:
> Hi Wade,
>
> Wade Wall wrote:
>>
>> Hi all,
>>
>> I don't know if this is the proper place to a
Thanks to those who have replied to my original query. However, I'm
still confused on how obtain estimates, standard error and F-tests for
main effect and interaction contrasts which agree with the SAS code
with output appended below.
for example,
## Given the dataset (from Montgomery)
twoway <-
I've tried without success to calculate interaction and main effects
contrasts using R. I've found the functions C(), contrasts(),
se.contrasts() and fit.contrasts() in package gmodels. Given the url
for a small dataset and the two-way anova model below, I'd like to
reproduce the results from ap
t; Patrick Connolly wrote:
> > On Sun, 02-Mar-2008 at 05:32PM -0500, Dale Steele wrote:
> >
> > |> Using linux fedora 8 (x86_64) I get the following when firefox is
> > |> already running. Is there a way to adjust settings in either R or
> > |> firef
Using linux fedora 8 (x86_64) I get the following when firefox is
already running. Is there a way to adjust settings in either R or
firefox to open a new tab when help.start() is invoked? Thanks.
--Dale
> help.start()
Making links in per-session dir ...
If '/usr/bin/firefox' is already running,
I'm applying a function (Cov.f) defined below to each element of a
distance matrix. When I run the code below, I get a warning message
(below) and elements of returned matrix [2,3] and [3,2] are not zero
as I would expect. Clearly, there is an error... What am I doing
wrong? Thanks. --Dale
Warni
Given a set of coordinates that form an irregular sampling area, is
there an R function to determine boundary points (coordinates defining
the limits of the area), either with or without user interaction ?
# for example, given the following irregular sampling area, how could
I define the boundary
I'm anxiously awaiting my copy of the soon to be published "A First
Course in Statistical Programming with R" by
W. John Braun
University of Western Ontario
Duncan J. Murdoch
University of Western Ontario
Paperback
(ISBN-13: 9780521694247)
http://www.cambridge.org/catalogue/catalogue.asp?isbn=9
Running the function below, tested using the cardiff dataset from
splancs generates the following error. What changes do I need to
make to get the function to work? Thanks. --Dale
> gen.rpoints(events, poly, 99)
> rpoints
Error: object "rpoints" not found
# test spatial data
library(splancs)
I've written the function below to simulate the mean 1st through nth
nearest neighbor distances for a random spatial pattern using the
functions nndist() and runifpoint() from spatsat. It works, but runs
relatively slowly - would appreciate suggestions on how to speed up
this function. Thanks. -
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