search for: 5.4349

Estimados compañeros: tengo una duda sobre R; cuando ejecuto la prueba t, R calcula una t experimental y le calcula su probabilidad asociada y la compara con P=0.05 (valor por defecto). Mi duda es si para calcular este area, tipifica primera a z y luego entra en la tabla de z y la calcula y la presenta en pantalla. De otra manera no veo como asociar un valor de t a una probabilidad (la

Porque con "less" estás hacienddo un test de una cola. En tu ejemplo estás haciendo un test de dos colas: > 2*pt(-5.4349,df=21.982) [1] 1.855473e-05 El 21/12/2013 21:33, HERNANDEZ CORONADO JORGE escribió: > t.test(1:10,y=c(7:20)) > > Welch Two Sample t-test > > data: 1:10 and c(7:20) > t = -5.4349, df = 21.982, p-value = 1.855e-05 > alternative hypothesis:

Si te refieres a t.test, lo que hace R es calcular el estadístico t y después compara el valor observado con la distribución de probabilidad de la t para los grados de libertad de tu prueba. Ej: > t.test(1:10, y = c(7:20), alternative="less") Welch Two Sample t-test data: 1:10 and c(7:20) t = -5.4349, df = 21.982, p-value = 9.276e-06 alternative hypothesis: true

Dear Thomas, it is, unfortunately, not that simple. t.test() returns an object of class "htest" and not all such objects have standard errors. I'm not entirely sure what the point is since it's easy to compute the standard error of the difference from the information in the object (adapting an example from ?t.test): > (res <- t.test(1:10, y = c(7:20))) Welch Two Sample

Si miras el código de t.test() verás que para calcular el p-valor llama a pt(). En la página de ayuda de pt() se cuenta que: "For the central case of pt, a normal approximation in the tails, otherwise via pbeta. For the non-central case of pt based on a C translation of Lenth, R. V. (1989). Algorithm AS 243 ? Cumulative distribution function of the non-central t distribution, Applied

Hi, I've just started using R and RSPerl. I have some code as follows: &R::initR("--no-save"); &R::call("t.test", (\@array1, \@array2)); where @array1 and @array2 are both 1-dimensional arrays in Perl having 54675 elements each. On execution the output is as follows: Calling R function name `t.test', # arguments: 3 1) Arg type 3 Got a reference to a

>>>>> peter dalgaard >>>>> on Fri, 22 Feb 2019 12:38:14 +0100 writes: > It's not a problem per se to put additional information > into class htest objects (hey, it's S3 after all...) and > there is a precedent in chisq.test which returns $observed > and $expected. It seems the consent is to simply return the SE but *not*

Hi John, Thanks for your reply. Of course I could write a package and of course I would find that trivial to do. The point is this is a main entry point to R for probably (at this point) hundreds of thousands of students. I?d like them to be able to get a basic quantity of interest from a t-test without four subsequent function calls. I also don?t really see the point about the object class,

It's not a problem per se to put additional information into class htest objects (hey, it's S3 after all...) and there is a precedent in chisq.test which returns $observed and $expected. Getting such information printed by print.htest is more tricky, although it might be possible to (ab)use the $estimate slot. The further question is whether one would really want to do that (change the

Hello ALL! I am running Fedora 16 x86_64. Due to some dubious problems, that i couldn't resolve, with the TeXLive (2007, which is a default), I removed it. That removed R as well, and some other dependent packages. Then, I installed TeXLive 2011 from CTAN. However, when I wanted to install R, from Fedora's repositories, it asks for some TeX dependencies (for example, tex-preview,