similar to: ansari.test one-tailed (PR#8730)

Hello. I am probably wrong... I am wondering if it could have a mistake in the code of the ansari.test function. For me, it seems that the function do not recover the p value at the correct side of the normal law N(0, 1) when it use the normal approximation (presence of ties) in a one tailed test. Exemple : quanti<-c(197, 205, 228, 234, 237, 195, 233, 226, 244, 227, 259, 185, 198, 253, 207,

Thanks for your answer. The rational behind my proposal is why taking "from" when length.out=1, more than "to" or "NA", or " integer(0) " ? This question seems basic. But is is not in certain situations, like when length.out = unpredictable positive integer. And I haven't found in ?seq() the particular behavior of this function when length.out = 1.

Hi. I have a problem with the default behavior of seq(), which gives the argument "from" when the argument length.out = 1. This behavior is annoying when the number of value determine in length.out is not predictable. Would it be possible to add an argument that propose the median/mean, i.e. (from + to) / 2 when length.out = 1 ? Examples: > seq(from = 1, to = 11, length.out=1) #

Millot, On Mon, Jun 15, 2015 at 9:19 AM, Hadley Wickham <h.wickham at gmail.com> wrote: > Regardless of the value of the other arguments, the first element in > the output of seq() is _always_ `from`. > Indeed, as Hadley says, the output of seq must always start with* from*. It is a sequence starting at *from* and ending wherever the other arguments cause it to end. A sequence

Hi. I have a problem with the default behavior of sample(), which performs sample(1:x) when x is a single value. This behavior is well explained in ?sample. However, this behavior is annoying when the number of value is not predictable. Would it be possible to add an argument that desactivates this and perform the sampling on a single value ? Examples: > sample(10, size = 1, replace = FALSE)

On 6/16/2015 1:32 PM, Peter Meissner wrote: > Am .06.2015, 14:55 Uhr, schrieb Millot Gael <Gael.Millot at curie.fr>: > >> Hi. >> >> I have a problem with the default behavior of sample(), which performs >> sample(1:x) when x is a single value. >> This behavior is well explained in ?sample. >> However, this behavior is annoying when the number of

Regardless of the value of the other arguments, the first element in the output of seq() is _always_ `from`. Hadley On Mon, Jun 15, 2015 at 9:56 AM, Millot Gael <Gael.Millot at curie.fr> wrote: > Thanks for your answer. > > The rational behind my proposal is why taking "from" when length.out=1, more than "to" or "NA", or " integer(0) " ?

Millot, I think the problem with that is that what you propose isn't a sequence starting at from in any meaningful way, and thus does not satisfy the contract of the seq function. Best, ~G On Jun 15, 2015 7:12 AM, "Millot Gael" <Gael.Millot at curie.fr> wrote: > Hi. > > I have a problem with the default behavior of seq(), which gives the > argument

Am .06.2015, 14:55 Uhr, schrieb Millot Gael <Gael.Millot at curie.fr>: > Hi. > > I have a problem with the default behavior of sample(), which performs > sample(1:x) when x is a single value. > This behavior is well explained in ?sample. > However, this behavior is annoying when the number of value is not > predictable. Would it be possible to add an argument >

Hi, Special behavior of sample(x, ...) when length(x) is 1 is of course a bad feature. I think it pre-dates sample.int() which is what people should use these days if they want the behavior of sample(x, ...) when length(x) is 1. And because we now have sample.int(), this feature could in theory be removed from sample(). Unfortunately this would break a lot of existing code so a warning or some

Dear all, Sorry to bother you, but I didn't find the solution in the R-help archive. I would like to change the thickness of stripes inside the barplot. Is there any solution to do that when using the barplot() fuction and the density option ? Or is there any other function ? Thanks very much for your help. Best regards. Gael. Gael Millot UMR 7147 et Universite Pierre et Marie Curie

Dear all, May I suggest to add an example in the help page of the colors() function ? The following code could be useful to easily choose any color from colors() : ## Millot G. (2011), p.71. ## Figure displaying all the 657 built-in color names of colors(). palette(colors()) tempo<-NULL for(i in 14:1){tempo<-c(tempo, rep(i,50))} windows(width=10) # replace by quartz(width=10) for MacOS and

A recent message on ansari.test() prompted me to play with the examples. This doesn't work for me in R version 2.4.1 R> ansari.test(rnorm(100), rnorm(100, 0, 2), conf.int = TRUE) Error in uniroot(ab, srange, tol = 1e-04, zq = qnorm(alpha/2, lower = FALSE)) : object "ab" not found It looks like there's a small typo in ccia() inside ansari.test.default() in which

The help page for ansari.test() says (emphasis added): By default (if exact is not specified), an exact p-value is computed if both samples contain less than 50 finite values **and there are no ties**. Otherwise, a normal approximation is used. However, this does not appear to be the case in R 2.4.1 or R 2.5.0. In fact, even example(ansari.test) produces a warning Warning message:

Full_Name: Wei Xu Version: 1.5.1 OS: WindowsME Submission from: (NULL) (63.215.238.92) The P-value for a two.sided test is not consistent with the confidence interval. For example, P-value=0.1372, but the 95% CI doesn't include the H0 value(1). > x [1] 0.80 0.83 1.89 1.04 1.45 1.38 1.91 1.64 0.73 1.46 > y [1] 1.15 0.88 0.90 0.74 1.21 >

Hi all, This is a statistics question, I hope someone out there will be able to help me. I have one population (oligonucleotide probes spotted on a Nimblegen array). I measured "parameter one" (intensity after hybridisation) and I have selected a subpopulation of the initial (one tenth of the initial) according to a threshold value. I now measure "parameter two" of

I am trying to get R 1.0 running on the Mac. The main target is MacX. Anyone else working on that? For the recent Macintosh system, I am trying to compile R using MachTen. The R core compiles and runs without any changes, using the Unix make files. The libraries give some problems, presumably due to handling of shared libraries. It seems I am missing something to link. Before I spend my time

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(length(p)), q = as.double(p), as.integer(m), as.integer(n))$q } and

Hi, I'm trying to compile R-1.7.1 from source (on a RedHat 8.0) instead of using the binary version, as it has often been advised. However I don't manage to find a solution to the following error which occurs during the make procedure : /!\-------------------------------------------/!\ building package 'ctest' mkdir -p -- ../../../library/ctest/R mkdir -p --

Hi all, Trying to install R-1.7.1 on a RedHat 8.0 platform, I have a few problems. R gets installed without default packages (but base and ctest) : make script fails at the end of the procedure (configure is made successfully). This is the (translated) log I have : /gcc -I../../../../include /usr/include/mysql -D__NO_MATH_INLINES -mieee-fp -fPIC -g -O2 -c ansari.c -o ansari.o gcc: cannot